theano →
1.0.4+dfsg-2 →
armhf → 2020-04-06 03:06:38
sbuild (Debian sbuild) 0.73.0 (23 Dec 2016) on test2019
+==============================================================================+
| theano 1.0.4+dfsg-2 (armhf) Sun, 05 Apr 2020 14:01:48 +0000 |
+==============================================================================+
Package: theano
Version: 1.0.4+dfsg-2
Source Version: 1.0.4+dfsg-2
Distribution: bullseye-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf
Build Type: any
I: NOTICE: Log filtering will replace 'var/run/schroot/mount/bullseye-staging-armhf-sbuild-6351449c-3c6b-476d-8d25-af5c1230f52a' with '<<CHROOT>>'
+------------------------------------------------------------------------------+
| Update chroot |
+------------------------------------------------------------------------------+
Get:1 http://172.17.0.1/private bullseye-staging InRelease [11.3 kB]
Get:2 http://172.17.0.1/private bullseye-staging/main Sources [11.6 MB]
Get:3 http://172.17.0.1/private bullseye-staging/main armhf Packages [12.8 MB]
Fetched 24.4 MB in 26s (921 kB/s)
Reading package lists...
+------------------------------------------------------------------------------+
| Fetch source files |
+------------------------------------------------------------------------------+
Check APT
---------
Checking available source versions...
Download source files with APT
------------------------------
Reading package lists...
NOTICE: 'theano' packaging is maintained in the 'Git' version control system at:
https://salsa.debian.org/science-team/theano.git
Please use:
git clone https://salsa.debian.org/science-team/theano.git
to retrieve the latest (possibly unreleased) updates to the package.
Need to get 13.0 MB of source archives.
Get:1 http://172.17.0.1/private bullseye-staging/main theano 1.0.4+dfsg-2 (dsc) [2726 B]
Get:2 http://172.17.0.1/private bullseye-staging/main theano 1.0.4+dfsg-2 (tar) [12.9 MB]
Get:3 http://172.17.0.1/private bullseye-staging/main theano 1.0.4+dfsg-2 (diff) [101 kB]
Fetched 13.0 MB in 4s (3221 kB/s)
Download complete and in download only mode
I: NOTICE: Log filtering will replace 'build/theano-cwjVNk/theano-1.0.4+dfsg' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/theano-cwjVNk' with '<<BUILDDIR>>'
+------------------------------------------------------------------------------+
| Install build-essential |
+------------------------------------------------------------------------------+
Setup apt archive
-----------------
Merged Build-Depends: build-essential, fakeroot
Filtered Build-Depends: build-essential, fakeroot
dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<<BUILDDIR>>/resolver-mdoDCF/apt_archive/sbuild-build-depends-core-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning: sbuild-build-depends-core-dummy
dpkg-scanpackages: info: Wrote 1 entries to output Packages file.
gpg: keybox '/<<BUILDDIR>>/resolver-mdoDCF/gpg/pubring.kbx' created
gpg: /<<BUILDDIR>>/resolver-mdoDCF/gpg/trustdb.gpg: trustdb created
gpg: key E70254B6505CF8F7: public key "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" imported
gpg: Total number processed: 1
gpg: imported: 1
gpg: key E70254B6505CF8F7: "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" not changed
gpg: key E70254B6505CF8F7: secret key imported
gpg: Total number processed: 1
gpg: unchanged: 1
gpg: secret keys read: 1
gpg: secret keys imported: 1
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release [957 B]
Get:3 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release.gpg [370 B]
Ign:3 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release.gpg
Get:4 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Sources [349 B]
Get:5 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Packages [432 B]
Fetched 2108 B in 1s (2985 B/s)
Reading package lists...
W: copy:///<<BUILDDIR>>/resolver-mdoDCF/apt_archive/./Release.gpg: The key(s) in the keyring /etc/apt/trusted.gpg.d/sbuild-build-depends-archive.gpg are ignored as the file is not readable by user '_apt' executing apt-key.
W: GPG error: copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY E70254B6505CF8F7
Reading package lists...
Install core build dependencies (apt-based resolver)
----------------------------------------------------
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following package was automatically installed and is no longer required:
libpam-cap
Use 'apt autoremove' to remove it.
The following NEW packages will be installed:
sbuild-build-depends-core-dummy
0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
Need to get 848 B of archives.
After this operation, 0 B of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [848 B]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 848 B in 0s (29.8 kB/s)
Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 14084 files and directories currently installed.)
Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_armhf.deb ...
Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ...
Setting up sbuild-build-depends-core-dummy (0.invalid.0) ...
+------------------------------------------------------------------------------+
| Check architectures |
+------------------------------------------------------------------------------+
Arch check ok (armhf included in any all)
+------------------------------------------------------------------------------+
| Install package build dependencies |
+------------------------------------------------------------------------------+
Setup apt archive
-----------------
Merged Build-Depends: debhelper-compat (= 12), dh-python, cython3, python3-dev, python3-setuptools, python3-six, libblas-dev, python3-numpy, python3-scipy, python3-nose, python3-parameterized, 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
Filtered Build-Depends: debhelper-compat (= 12), dh-python, cython3, python3-dev, python3-setuptools, python3-six, libblas-dev, python3-numpy, python3-scipy, python3-nose, python3-parameterized, 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 'sbuild-build-depends-theano-dummy' in '/<<BUILDDIR>>/resolver-mdoDCF/apt_archive/sbuild-build-depends-theano-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning: sbuild-build-depends-core-dummy sbuild-build-depends-theano-dummy
dpkg-scanpackages: info: Wrote 2 entries to output Packages file.
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release [963 B]
Get:3 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release.gpg [370 B]
Ign:3 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release.gpg
Get:4 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Sources [709 B]
Get:5 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Packages [791 B]
Fetched 2833 B in 1s (4659 B/s)
Reading package lists...
W: copy:///<<BUILDDIR>>/resolver-mdoDCF/apt_archive/./Release.gpg: The key(s) in the keyring /etc/apt/trusted.gpg.d/sbuild-build-depends-archive.gpg are ignored as the file is not readable by user '_apt' executing apt-key.
W: GPG error: copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ Release: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY E70254B6505CF8F7
Reading package lists...
Install theano build dependencies (apt-based resolver)
------------------------------------------------------
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following package was automatically installed and is no longer required:
libpam-cap
Use 'apt autoremove' to remove it.
The following additional packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils ca-certificates
cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism
docutils-common dvipng dwz file fontconfig fontconfig-config
fonts-dejavu-core fonts-font-awesome fonts-lato fonts-lmodern
fonts-urw-base35 gettext gettext-base ghostscript graphviz groff-base
intltool-debian jupyter-nbconvert latexmk libapache-pom-java
libarchive-zip-perl libavahi-client3 libavahi-common-data libavahi-common3
libblas-dev libblas3 libbsd0 libc-ares2 libcairo2 libcdt5 libcgraph6
libcommons-logging-java libcommons-parent-java libcroco3 libcups2 libdatrie1
libdbus-1-3 libdebhelper-perl libelf1 libexpat1 libexpat1-dev
libfile-stripnondeterminism-perl libfontbox-java libfontconfig1 libfreetype6
libfribidi0 libgd3 libgfortran5 libglib2.0-0 libgraphite2-3 libgs9
libgs9-common libgssapi-krb5-2 libgts-0.7-5 libgvc6 libgvpr2
libharfbuzz-icu0 libharfbuzz0b libice6 libicu63 libidn11 libijs-0.35
libjbig0 libjbig2dec0 libjpeg62-turbo libjs-d3 libjs-jquery libjs-modernizr
libjs-sphinxdoc libjs-underscore libk5crypto3 libkeyutils1 libkpathsea6
libkrb5-3 libkrb5support0 liblab-gamut1 liblapack3 liblbfgsb0 liblcms2-2
libltdl7 libmagic-mgc libmagic1 libmpdec2 libnghttp2-14 libnode64 libnorm1
libopenjp2-7 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0
libpaper-utils libpaper1 libpathplan4 libpdfbox-java libpgm-5.2-0
libpipeline1 libpixman-1-0 libpng16-16 libptexenc1 libpython3-dev
libpython3-stdlib libpython3.7-minimal libpython3.7-stdlib libpython3.8
libpython3.8-dev libpython3.8-minimal libpython3.8-stdlib libsigsegv2 libsm6
libsodium23 libssl1.1 libsub-override-perl libsynctex2 libteckit0
libtexlua53 libtexluajit2 libthai-data libthai0 libtiff5 libtinfo5 libtool
libuchardet0 libuv1 libwebp6 libx11-6 libx11-data libxau6 libxaw7
libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxi6 libxml2 libxmu6
libxpm4 libxrender1 libxt6 libzmq5 libzzip-0-13 m4 man-db mime-support
node-ansi-regex node-ansi-styles node-browserify-lite node-camelcase
node-cliui node-clone node-color-convert node-color-name node-cross-spawn
node-decamelize node-defaults node-end-of-stream node-execa node-find-up
node-get-caller-file node-get-stream node-invert-kv node-is-stream
node-isexe node-lcid node-locate-path node-lodash-compat node-lru-cache
node-mem node-mimic-fn node-npm-run-path node-once node-os-locale
node-p-finally node-p-limit node-p-locate node-path-exists node-pegjs
node-pend node-pump node-require-directory node-require-main-filename
node-set-blocking node-shebang-command node-shebang-regex node-signal-exit
node-string-width node-strip-ansi node-strip-eof node-uglify node-wcwidth.js
node-which node-which-module node-wrap-ansi node-wrappy node-y18n
node-yallist node-yargs node-yargs-parser nodejs openssl po-debconf
poppler-data preview-latex-style python-babel-localedata python3
python3-alabaster python3-attr python3-babel python3-backcall python3-bleach
python3-certifi python3-chardet python3-dateutil python3-decorator
python3-defusedxml python3-dev python3-distutils python3-docutils
python3-entrypoints python3-html5lib python3-idna python3-imagesize
python3-ipykernel python3-ipython python3-ipython-genutils python3-jedi
python3-jinja2 python3-jsonschema python3-jupyter-client
python3-jupyter-core python3-lib2to3 python3-markupsafe python3-minimal
python3-mistune python3-nbconvert python3-nbformat python3-nose
python3-numpy python3-packaging python3-pandocfilters python3-parameterized
python3-parso python3-pexpect python3-pickleshare python3-pkg-resources
python3-prompt-toolkit python3-ptyprocess python3-pydot python3-pygments
python3-pyparsing python3-pyrsistent python3-requests python3-roman
python3-scipy python3-setuptools python3-six python3-sphinx
python3-sphinx-rtd-theme python3-testpath python3-tornado python3-traitlets
python3-tz python3-urllib3 python3-wcwidth python3-webencodings python3-zmq
python3.7 python3.7-minimal python3.8 python3.8-dev python3.8-minimal rdfind
sensible-utils sgml-base sphinx-common sphinx-rtd-theme-common symlinks
t1utils tex-common texlive-base texlive-binaries texlive-fonts-recommended
texlive-latex-base texlive-latex-extra texlive-latex-recommended
texlive-pictures ucf x11-common xdg-utils xml-core zlib1g-dev
Suggested packages:
autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
vacation cython-doc dh-make fonts-freefont-otf | fonts-freefont-ttf
fonts-texgyre gettext-doc libasprintf-dev libgettextpo-dev ghostscript-x
gsfonts graphviz-doc groff liblapack-doc libavalon-framework-java
libcommons-logging-java-doc libexcalibur-logkit-java liblog4j1.2-java
cups-common libgd-tools krb5-doc krb5-user liblcms2-utils libtool-doc
gfortran | fortran95-compiler gcj-jdk m4-doc apparmor less www-browser
node-acorn node-uglify-to-browserify npm libmail-box-perl poppler-utils
fonts-japanese-mincho | fonts-ipafont-mincho fonts-japanese-gothic
| fonts-ipafont-gothic fonts-arphic-ukai fonts-arphic-uming fonts-nanum
python3-doc python3-tk python3-venv python-attr-doc python-bleach-doc
docutils-doc fonts-linuxlibertine | ttf-linux-libertine texlive-lang-french
python3-genshi python3-lxml python-ipython-doc python-jinja2-doc
python-jsonschema-doc python3-pip python-nbconvert-doc python-nose-doc
gfortran python-numpy-doc python3-pytest python3-numpy-dbg
python-pexpect-doc python-pygments-doc ttf-bitstream-vera
python-pyparsing-doc python3-cryptography python3-openssl python3-socks
python-scipy-doc python-setuptools-doc imagemagick-6.q16 libjs-mathjax
python3-stemmer sphinx-doc texlive-plain-generic python3-pycurl
python-tornado-doc python3-twisted python3.7-venv python3.7-doc
binfmt-support python3.8-venv python3.8-doc sgml-base-doc perl-tk xpdf
| pdf-viewer xzdec texlive-fonts-recommended-doc texlive-latex-base-doc
icc-profiles libfile-which-perl libspreadsheet-parseexcel-perl
texlive-latex-extra-doc texlive-latex-recommended-doc texlive-luatex
texlive-pstricks dot2tex prerex ruby-tcltk | libtcltk-ruby
texlive-pictures-doc vprerex
Recommended packages:
curl | wget | lynx fonts-liberation xpdf | pdf-viewer dbus
libarchive-cpio-perl libglib2.0-data shared-mime-info xdg-user-dirs
fonts-droid-fallback libgts-bin javascript-common krb5-locales libltdl-dev
node-source-map nodejs-doc libmail-sendmail-perl python3-pil pandoc lmodern
dvisvgm tex-gyre tipa texlive-plain-generic ruby | ruby-interpreter tk
libfile-mimeinfo-perl libnet-dbus-perl libx11-protocol-perl x11-utils
x11-xserver-utils
The following NEW packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils ca-certificates
cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism
docutils-common dvipng dwz file fontconfig fontconfig-config
fonts-dejavu-core fonts-font-awesome fonts-lato fonts-lmodern
fonts-urw-base35 gettext gettext-base ghostscript graphviz groff-base
intltool-debian jupyter-nbconvert latexmk libapache-pom-java
libarchive-zip-perl libavahi-client3 libavahi-common-data libavahi-common3
libblas-dev libblas3 libbsd0 libc-ares2 libcairo2 libcdt5 libcgraph6
libcommons-logging-java libcommons-parent-java libcroco3 libcups2 libdatrie1
libdbus-1-3 libdebhelper-perl libelf1 libexpat1 libexpat1-dev
libfile-stripnondeterminism-perl libfontbox-java libfontconfig1 libfreetype6
libfribidi0 libgd3 libgfortran5 libglib2.0-0 libgraphite2-3 libgs9
libgs9-common libgssapi-krb5-2 libgts-0.7-5 libgvc6 libgvpr2
libharfbuzz-icu0 libharfbuzz0b libice6 libicu63 libidn11 libijs-0.35
libjbig0 libjbig2dec0 libjpeg62-turbo libjs-d3 libjs-jquery libjs-modernizr
libjs-sphinxdoc libjs-underscore libk5crypto3 libkeyutils1 libkpathsea6
libkrb5-3 libkrb5support0 liblab-gamut1 liblapack3 liblbfgsb0 liblcms2-2
libltdl7 libmagic-mgc libmagic1 libmpdec2 libnghttp2-14 libnode64 libnorm1
libopenjp2-7 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0
libpaper-utils libpaper1 libpathplan4 libpdfbox-java libpgm-5.2-0
libpipeline1 libpixman-1-0 libpng16-16 libptexenc1 libpython3-dev
libpython3-stdlib libpython3.7-minimal libpython3.7-stdlib libpython3.8
libpython3.8-dev libpython3.8-minimal libpython3.8-stdlib libsigsegv2 libsm6
libsodium23 libssl1.1 libsub-override-perl libsynctex2 libteckit0
libtexlua53 libtexluajit2 libthai-data libthai0 libtiff5 libtinfo5 libtool
libuchardet0 libuv1 libwebp6 libx11-6 libx11-data libxau6 libxaw7
libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxi6 libxml2 libxmu6
libxpm4 libxrender1 libxt6 libzmq5 libzzip-0-13 m4 man-db mime-support
node-ansi-regex node-ansi-styles node-browserify-lite node-camelcase
node-cliui node-clone node-color-convert node-color-name node-cross-spawn
node-decamelize node-defaults node-end-of-stream node-execa node-find-up
node-get-caller-file node-get-stream node-invert-kv node-is-stream
node-isexe node-lcid node-locate-path node-lodash-compat node-lru-cache
node-mem node-mimic-fn node-npm-run-path node-once node-os-locale
node-p-finally node-p-limit node-p-locate node-path-exists node-pegjs
node-pend node-pump node-require-directory node-require-main-filename
node-set-blocking node-shebang-command node-shebang-regex node-signal-exit
node-string-width node-strip-ansi node-strip-eof node-uglify node-wcwidth.js
node-which node-which-module node-wrap-ansi node-wrappy node-y18n
node-yallist node-yargs node-yargs-parser nodejs openssl po-debconf
poppler-data preview-latex-style python-babel-localedata python3
python3-alabaster python3-attr python3-babel python3-backcall python3-bleach
python3-certifi python3-chardet python3-dateutil python3-decorator
python3-defusedxml python3-dev python3-distutils python3-docutils
python3-entrypoints python3-html5lib python3-idna python3-imagesize
python3-ipykernel python3-ipython python3-ipython-genutils python3-jedi
python3-jinja2 python3-jsonschema python3-jupyter-client
python3-jupyter-core python3-lib2to3 python3-markupsafe python3-minimal
python3-mistune python3-nbconvert python3-nbformat python3-nose
python3-numpy python3-packaging python3-pandocfilters python3-parameterized
python3-parso python3-pexpect python3-pickleshare python3-pkg-resources
python3-prompt-toolkit python3-ptyprocess python3-pydot python3-pygments
python3-pyparsing python3-pyrsistent python3-requests python3-roman
python3-scipy python3-setuptools python3-six python3-sphinx
python3-sphinx-rtd-theme python3-testpath python3-tornado python3-traitlets
python3-tz python3-urllib3 python3-wcwidth python3-webencodings python3-zmq
python3.7 python3.7-minimal python3.8 python3.8-dev python3.8-minimal rdfind
sbuild-build-depends-theano-dummy sensible-utils sgml-base sphinx-common
sphinx-rtd-theme-common symlinks t1utils tex-common texlive-base
texlive-binaries texlive-fonts-recommended texlive-latex-base
texlive-latex-extra texlive-latex-recommended texlive-pictures ucf
x11-common xdg-utils xml-core zlib1g-dev
0 upgraded, 303 newly installed, 0 to remove and 0 not upgraded.
Need to get 224 MB of archives.
After this operation, 758 MB of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-mdoDCF/apt_archive ./ sbuild-build-depends-theano-dummy 0.invalid.0 [1072 B]
Get:2 http://172.17.0.1/private bullseye-staging/main armhf libbsd0 armhf 0.10.0-1 [112 kB]
Get:3 http://172.17.0.1/private bullseye-staging/main armhf libtinfo5 armhf 6.2-1 [318 kB]
Get:4 http://172.17.0.1/private bullseye-staging/main armhf bsdmainutils armhf 11.1.2 [182 kB]
Get:5 http://172.17.0.1/private bullseye-staging/main armhf libuchardet0 armhf 0.0.6-3 [62.2 kB]
Get:6 http://172.17.0.1/private bullseye-staging/main armhf groff-base armhf 1.22.4-4 [783 kB]
Get:7 http://172.17.0.1/private bullseye-staging/main armhf libpipeline1 armhf 1.5.2-2 [29.6 kB]
Get:8 http://172.17.0.1/private bullseye-staging/main armhf man-db armhf 2.9.1-1 [1262 kB]
Get:9 http://172.17.0.1/private bullseye-staging/main armhf fonts-lato all 2.0-2 [2698 kB]
Get:10 http://172.17.0.1/private bullseye-staging/main armhf poppler-data all 0.4.9-2 [1473 kB]
Get:11 http://172.17.0.1/private bullseye-staging/main armhf libssl1.1 armhf 1.1.1d-2 [1268 kB]
Get:12 http://172.17.0.1/private bullseye-staging/main armhf libpython3.8-minimal armhf 3.8.2-1 [744 kB]
Get:13 http://172.17.0.1/private bullseye-staging/main armhf libexpat1 armhf 2.2.9-1 [71.5 kB]
Get:14 http://172.17.0.1/private bullseye-staging/main armhf python3.8-minimal armhf 3.8.2-1 [1628 kB]
Get:15 http://172.17.0.1/private bullseye-staging/main armhf python3-minimal armhf 3.8.2-2 [37.5 kB]
Get:16 http://172.17.0.1/private bullseye-staging/main armhf mime-support all 3.64 [37.8 kB]
Get:17 http://172.17.0.1/private bullseye-staging/main armhf libmpdec2 armhf 2.4.2-3 [68.1 kB]
Get:18 http://172.17.0.1/private bullseye-staging/main armhf libpython3.8-stdlib armhf 3.8.2-1 [1597 kB]
Get:19 http://172.17.0.1/private bullseye-staging/main armhf python3.8 armhf 3.8.2-1 [410 kB]
Get:20 http://172.17.0.1/private bullseye-staging/main armhf libpython3-stdlib armhf 3.8.2-2 [20.7 kB]
Get:21 http://172.17.0.1/private bullseye-staging/main armhf python3 armhf 3.8.2-2 [62.6 kB]
Get:22 http://172.17.0.1/private bullseye-staging/main armhf libpython3.7-minimal armhf 3.7.7-1 [585 kB]
Get:23 http://172.17.0.1/private bullseye-staging/main armhf python3.7-minimal armhf 3.7.7-1 [1532 kB]
Get:24 http://172.17.0.1/private bullseye-staging/main armhf sgml-base all 1.29.1 [15.0 kB]
Get:25 http://172.17.0.1/private bullseye-staging/main armhf sensible-utils all 0.0.12+nmu1 [16.0 kB]
Get:26 http://172.17.0.1/private bullseye-staging/main armhf ucf all 3.0038+nmu1 [69.0 kB]
Get:27 http://172.17.0.1/private bullseye-staging/main armhf tex-common all 6.13 [53.2 kB]
Get:28 http://172.17.0.1/private bullseye-staging/main armhf libmagic-mgc armhf 1:5.38-4 [262 kB]
Get:29 http://172.17.0.1/private bullseye-staging/main armhf libmagic1 armhf 1:5.38-4 [112 kB]
Get:30 http://172.17.0.1/private bullseye-staging/main armhf file armhf 1:5.38-4 [66.9 kB]
Get:31 http://172.17.0.1/private bullseye-staging/main armhf gettext-base armhf 0.19.8.1-10 [117 kB]
Get:32 http://172.17.0.1/private bullseye-staging/main armhf libsigsegv2 armhf 2.12-2 [32.3 kB]
Get:33 http://172.17.0.1/private bullseye-staging/main armhf m4 armhf 1.4.18-4 [185 kB]
Get:34 http://172.17.0.1/private bullseye-staging/main armhf autoconf all 2.69-11.1 [341 kB]
Get:35 http://172.17.0.1/private bullseye-staging/main armhf autotools-dev all 20180224.1 [77.0 kB]
Get:36 http://172.17.0.1/private bullseye-staging/main armhf automake all 1:1.16.1-4 [771 kB]
Get:37 http://172.17.0.1/private bullseye-staging/main armhf autopoint all 0.19.8.1-10 [435 kB]
Get:38 http://172.17.0.1/private bullseye-staging/main armhf openssl armhf 1.1.1d-2 [806 kB]
Get:39 http://172.17.0.1/private bullseye-staging/main armhf ca-certificates all 20190110 [157 kB]
Get:40 http://172.17.0.1/private bullseye-staging/main armhf cython3 armhf 0.29.14-0.1+b1 [1902 kB]
Get:41 http://172.17.0.1/private bullseye-staging/main armhf libtool all 2.4.6-14 [513 kB]
Get:42 http://172.17.0.1/private bullseye-staging/main armhf dh-autoreconf all 19 [16.9 kB]
Get:43 http://172.17.0.1/private bullseye-staging/main armhf libdebhelper-perl all 12.10 [184 kB]
Get:44 http://172.17.0.1/private bullseye-staging/main armhf libarchive-zip-perl all 1.68-1 [104 kB]
Get:45 http://172.17.0.1/private bullseye-staging/main armhf libsub-override-perl all 0.09-2 [10.2 kB]
Get:46 http://172.17.0.1/private bullseye-staging/main armhf libfile-stripnondeterminism-perl all 1.6.3-2 [23.7 kB]
Get:47 http://172.17.0.1/private bullseye-staging/main armhf dh-strip-nondeterminism all 1.6.3-2 [14.7 kB]
Get:48 http://172.17.0.1/private bullseye-staging/main armhf libelf1 armhf 0.176-1.1 [158 kB]
Get:49 http://172.17.0.1/private bullseye-staging/main armhf dwz armhf 0.13-5 [142 kB]
Get:50 http://172.17.0.1/private bullseye-staging/main armhf libglib2.0-0 armhf 2.64.1-1 [1157 kB]
Get:51 http://172.17.0.1/private bullseye-staging/main armhf libicu63 armhf 63.2-3 [7987 kB]
Get:52 http://172.17.0.1/private bullseye-staging/main armhf libxml2 armhf 2.9.10+dfsg-4 [592 kB]
Get:53 http://172.17.0.1/private bullseye-staging/main armhf libcroco3 armhf 0.6.13-1 [133 kB]
Get:54 http://172.17.0.1/private bullseye-staging/main armhf gettext armhf 0.19.8.1-10 [1219 kB]
Get:55 http://172.17.0.1/private bullseye-staging/main armhf intltool-debian all 0.35.0+20060710.5 [26.8 kB]
Get:56 http://172.17.0.1/private bullseye-staging/main armhf po-debconf all 1.0.21 [248 kB]
Get:57 http://172.17.0.1/private bullseye-staging/main armhf debhelper all 12.10 [1003 kB]
Get:58 http://172.17.0.1/private bullseye-staging/main armhf python3-lib2to3 all 3.8.2-2 [78.4 kB]
Get:59 http://172.17.0.1/private bullseye-staging/main armhf python3-distutils all 3.8.2-2 [145 kB]
Get:60 http://172.17.0.1/private bullseye-staging/main armhf dh-python all 4.20200315 [91.6 kB]
Get:61 http://172.17.0.1/private bullseye-staging/main armhf xml-core all 0.18+nmu1 [23.8 kB]
Get:62 http://172.17.0.1/private bullseye-staging/main armhf docutils-common all 0.16+dfsg-2 [129 kB]
Get:63 http://172.17.0.1/private bullseye-staging/main armhf libpng16-16 armhf 1.6.37-2 [274 kB]
Get:64 http://172.17.0.1/private bullseye-staging/main armhf libfreetype6 armhf 2.10.1-2 [330 kB]
Get:65 http://172.17.0.1/private bullseye-staging/main armhf fonts-dejavu-core all 2.37-1 [1068 kB]
Get:66 http://172.17.0.1/private bullseye-staging/main armhf fontconfig-config all 2.13.1-2 [280 kB]
Get:67 http://172.17.0.1/private bullseye-staging/main armhf libfontconfig1 armhf 2.13.1-2 [327 kB]
Get:68 http://172.17.0.1/private bullseye-staging/main armhf libjpeg62-turbo armhf 1:1.5.2-2+b1 [110 kB]
Get:69 http://172.17.0.1/private bullseye-staging/main armhf libjbig0 armhf 2.1-3.1+b2 [27.6 kB]
Get:70 http://172.17.0.1/private bullseye-staging/main armhf libwebp6 armhf 0.6.1-2 [228 kB]
Get:71 http://172.17.0.1/private bullseye-staging/main armhf libtiff5 armhf 4.1.0+git191117-2 [250 kB]
Get:72 http://172.17.0.1/private bullseye-staging/main armhf libxau6 armhf 1:1.0.8-1+b2 [19.1 kB]
Get:73 http://172.17.0.1/private bullseye-staging/main armhf libxdmcp6 armhf 1:1.1.2-3 [25.0 kB]
Get:74 http://172.17.0.1/private bullseye-staging/main armhf libxcb1 armhf 1.14-2 [135 kB]
Get:75 http://172.17.0.1/private bullseye-staging/main armhf libx11-data all 2:1.6.9-2 [298 kB]
Get:76 http://172.17.0.1/private bullseye-staging/main armhf libx11-6 armhf 2:1.6.9-2 [692 kB]
Get:77 http://172.17.0.1/private bullseye-staging/main armhf libxpm4 armhf 1:3.5.12-1 [43.6 kB]
Get:78 http://172.17.0.1/private bullseye-staging/main armhf libgd3 armhf 2.2.5-5.2 [115 kB]
Get:79 http://172.17.0.1/private bullseye-staging/main armhf libkpathsea6 armhf 2019.20190605.51237-3 [159 kB]
Get:80 http://172.17.0.1/private bullseye-staging/main armhf libptexenc1 armhf 2019.20190605.51237-3 [60.0 kB]
Get:81 http://172.17.0.1/private bullseye-staging/main armhf libsynctex2 armhf 2019.20190605.51237-3 [68.8 kB]
Get:82 http://172.17.0.1/private bullseye-staging/main armhf libtexlua53 armhf 2019.20190605.51237-3 [99.7 kB]
Get:83 http://172.17.0.1/private bullseye-staging/main armhf libtexluajit2 armhf 2019.20190605.51237-3 [206 kB]
Get:84 http://172.17.0.1/private bullseye-staging/main armhf t1utils armhf 1.41-3 [52.1 kB]
Get:85 http://172.17.0.1/private bullseye-staging/main armhf libpixman-1-0 armhf 0.36.0-1 [458 kB]
Get:86 http://172.17.0.1/private bullseye-staging/main armhf libxcb-render0 armhf 1.14-2 [110 kB]
Get:87 http://172.17.0.1/private bullseye-staging/main armhf libxcb-shm0 armhf 1.14-2 [101 kB]
Get:88 http://172.17.0.1/private bullseye-staging/main armhf libxext6 armhf 2:1.3.3-1+b2 [47.8 kB]
Get:89 http://172.17.0.1/private bullseye-staging/main armhf libxrender1 armhf 1:0.9.10-1 [29.9 kB]
Get:90 http://172.17.0.1/private bullseye-staging/main armhf libcairo2 armhf 1.16.0-4 [599 kB]
Get:91 http://172.17.0.1/private bullseye-staging/main armhf libgraphite2-3 armhf 1.3.13-11 [70.1 kB]
Get:92 http://172.17.0.1/private bullseye-staging/main armhf libharfbuzz0b armhf 2.6.4-1+rpi1 [1308 kB]
Get:93 http://172.17.0.1/private bullseye-staging/main armhf libharfbuzz-icu0 armhf 2.6.4-1+rpi1 [976 kB]
Get:94 http://172.17.0.1/private bullseye-staging/main armhf libpaper1 armhf 1.1.28 [20.5 kB]
Get:95 http://172.17.0.1/private bullseye-staging/main armhf libteckit0 armhf 2.5.8+ds2-5 [245 kB]
Get:96 http://172.17.0.1/private bullseye-staging/main armhf x11-common all 1:7.7+20 [252 kB]
Get:97 http://172.17.0.1/private bullseye-staging/main armhf libice6 armhf 2:1.0.9-2 [51.6 kB]
Get:98 http://172.17.0.1/private bullseye-staging/main armhf libsm6 armhf 2:1.2.3-1 [32.9 kB]
Get:99 http://172.17.0.1/private bullseye-staging/main armhf libxt6 armhf 1:1.1.5-1+b3 [156 kB]
Get:100 http://172.17.0.1/private bullseye-staging/main armhf libxmu6 armhf 2:1.1.2-2+b3 [52.1 kB]
Get:101 http://172.17.0.1/private bullseye-staging/main armhf libxaw7 armhf 2:1.0.13-1+b2 [163 kB]
Get:102 http://172.17.0.1/private bullseye-staging/main armhf libxi6 armhf 2:1.7.9-1 [77.8 kB]
Get:103 http://172.17.0.1/private bullseye-staging/main armhf libzzip-0-13 armhf 0.13.62-3.2 [51.6 kB]
Get:104 http://172.17.0.1/private bullseye-staging/main armhf texlive-binaries armhf 2019.20190605.51237-3 [5748 kB]
Get:105 http://172.17.0.1/private bullseye-staging/main armhf fonts-urw-base35 all 20170801.1-3 [6333 kB]
Get:106 http://172.17.0.1/private bullseye-staging/main armhf libgs9-common all 9.52~dfsg-1 [732 kB]
Get:107 http://172.17.0.1/private bullseye-staging/main armhf libavahi-common-data armhf 0.7-5 [122 kB]
Get:108 http://172.17.0.1/private bullseye-staging/main armhf libavahi-common3 armhf 0.7-5 [51.2 kB]
Get:109 http://172.17.0.1/private bullseye-staging/main armhf libdbus-1-3 armhf 1.12.16-2+b1 [189 kB]
Get:110 http://172.17.0.1/private bullseye-staging/main armhf libavahi-client3 armhf 0.7-5 [54.2 kB]
Get:111 http://172.17.0.1/private bullseye-staging/main armhf libkrb5support0 armhf 1.17-7 [61.4 kB]
Get:112 http://172.17.0.1/private bullseye-staging/main armhf libk5crypto3 armhf 1.17-7 [112 kB]
Get:113 http://172.17.0.1/private bullseye-staging/main armhf libkeyutils1 armhf 1.6.1-2 [14.5 kB]
Get:114 http://172.17.0.1/private bullseye-staging/main armhf libkrb5-3 armhf 1.17-7 [320 kB]
Get:115 http://172.17.0.1/private bullseye-staging/main armhf libgssapi-krb5-2 armhf 1.17-7 [135 kB]
Get:116 http://172.17.0.1/private bullseye-staging/main armhf libcups2 armhf 2.3.1-11 [309 kB]
Get:117 http://172.17.0.1/private bullseye-staging/main armhf libidn11 armhf 1.33-2.2 [113 kB]
Get:118 http://172.17.0.1/private bullseye-staging/main armhf libijs-0.35 armhf 0.35-15 [14.7 kB]
Get:119 http://172.17.0.1/private bullseye-staging/main armhf libjbig2dec0 armhf 0.18-1 [56.3 kB]
Get:120 http://172.17.0.1/private bullseye-staging/main armhf liblcms2-2 armhf 2.9-4 [119 kB]
Get:121 http://172.17.0.1/private bullseye-staging/main armhf libopenjp2-7 armhf 2.3.1-1 [140 kB]
Get:122 http://172.17.0.1/private bullseye-staging/main armhf libgs9 armhf 9.52~dfsg-1 [1893 kB]
Get:123 http://172.17.0.1/private bullseye-staging/main armhf ghostscript armhf 9.52~dfsg-1 [96.1 kB]
Get:124 http://172.17.0.1/private bullseye-staging/main armhf dvipng armhf 1.15-1.1+b2 [80.1 kB]
Get:125 http://172.17.0.1/private bullseye-staging/main armhf fontconfig armhf 2.13.1-2 [404 kB]
Get:126 http://172.17.0.1/private bullseye-staging/main armhf fonts-font-awesome all 5.0.10+really4.7.0~dfsg-1 [515 kB]
Get:127 http://172.17.0.1/private bullseye-staging/main armhf fonts-lmodern all 2.004.5-6 [4539 kB]
Get:128 http://172.17.0.1/private bullseye-staging/main armhf libcdt5 armhf 2.42.2-3+b2 [58.6 kB]
Get:129 http://172.17.0.1/private bullseye-staging/main armhf libcgraph6 armhf 2.42.2-3+b2 [78.3 kB]
Get:130 http://172.17.0.1/private bullseye-staging/main armhf libgts-0.7-5 armhf 0.7.6+darcs121130-4 [134 kB]
Get:131 http://172.17.0.1/private bullseye-staging/main armhf libltdl7 armhf 2.4.6-14 [388 kB]
Get:132 http://172.17.0.1/private bullseye-staging/main armhf libfribidi0 armhf 1.0.8-2 [63.5 kB]
Get:133 http://172.17.0.1/private bullseye-staging/main armhf libthai-data all 0.1.28-3 [170 kB]
Get:134 http://172.17.0.1/private bullseye-staging/main armhf libdatrie1 armhf 0.2.12-3+b1 [36.4 kB]
Get:135 http://172.17.0.1/private bullseye-staging/main armhf libthai0 armhf 0.1.28-3 [51.0 kB]
Get:136 http://172.17.0.1/private bullseye-staging/main armhf libpango-1.0-0 armhf 1.42.4-8 [168 kB]
Get:137 http://172.17.0.1/private bullseye-staging/main armhf libpangoft2-1.0-0 armhf 1.42.4-8 [62.4 kB]
Get:138 http://172.17.0.1/private bullseye-staging/main armhf libpangocairo-1.0-0 armhf 1.42.4-8 [52.1 kB]
Get:139 http://172.17.0.1/private bullseye-staging/main armhf libpathplan4 armhf 2.42.2-3+b2 [61.9 kB]
Get:140 http://172.17.0.1/private bullseye-staging/main armhf libgvc6 armhf 2.42.2-3+b2 [585 kB]
Get:141 http://172.17.0.1/private bullseye-staging/main armhf libgvpr2 armhf 2.42.2-3+b2 [185 kB]
Get:142 http://172.17.0.1/private bullseye-staging/main armhf liblab-gamut1 armhf 2.42.2-3+b2 [221 kB]
Get:143 http://172.17.0.1/private bullseye-staging/main armhf graphviz armhf 2.42.2-3+b2 [499 kB]
Get:144 http://172.17.0.1/private bullseye-staging/main armhf python3-entrypoints all 0.3-2 [5616 B]
Get:145 http://172.17.0.1/private bullseye-staging/main armhf python3-backcall all 0.1.0-2 [11.2 kB]
Get:146 http://172.17.0.1/private bullseye-staging/main armhf python3-decorator all 4.4.2-1 [15.8 kB]
Get:147 http://172.17.0.1/private bullseye-staging/main armhf python3-parso all 0.6.2-1 [63.8 kB]
Get:148 http://172.17.0.1/private bullseye-staging/main armhf python3-jedi all 0.16.0-1 [513 kB]
Get:149 http://172.17.0.1/private bullseye-staging/main armhf python3-ptyprocess all 0.6.0-1 [13.2 kB]
Get:150 http://172.17.0.1/private bullseye-staging/main armhf python3-pexpect all 4.6.0-1 [52.4 kB]
Get:151 http://172.17.0.1/private bullseye-staging/main armhf python3-pickleshare all 0.7.5-1 [7348 B]
Get:152 http://172.17.0.1/private bullseye-staging/main armhf python3-pkg-resources all 44.0.0-1 [155 kB]
Get:153 http://172.17.0.1/private bullseye-staging/main armhf python3-six all 1.14.0-2 [16.7 kB]
Get:154 http://172.17.0.1/private bullseye-staging/main armhf python3-wcwidth all 0.1.8+dfsg1-3 [17.4 kB]
Get:155 http://172.17.0.1/private bullseye-staging/main armhf python3-prompt-toolkit all 2.0.10-2 [241 kB]
Get:156 http://172.17.0.1/private bullseye-staging/main armhf python3-pygments all 2.3.1+dfsg-1 [594 kB]
Get:157 http://172.17.0.1/private bullseye-staging/main armhf python3-ipython-genutils all 0.2.0-2 [21.2 kB]
Get:158 http://172.17.0.1/private bullseye-staging/main armhf python3-traitlets all 4.3.3-2 [61.5 kB]
Get:159 http://172.17.0.1/private bullseye-staging/main armhf python3-ipython all 7.13.0-1 [506 kB]
Get:160 http://172.17.0.1/private bullseye-staging/main armhf python3-dateutil all 2.7.3-3 [64.5 kB]
Get:161 http://172.17.0.1/private bullseye-staging/main armhf python3-jupyter-core all 4.6.3-3 [44.0 kB]
Get:162 http://172.17.0.1/private bullseye-staging/main armhf python3-tornado armhf 6.0.3+really5.1.1-3 [355 kB]
Get:163 http://172.17.0.1/private bullseye-staging/main armhf libnorm1 armhf 1.5.8+dfsg2-2 [239 kB]
Get:164 http://172.17.0.1/private bullseye-staging/main armhf libpgm-5.2-0 armhf 5.2.122~dfsg-3 [153 kB]
Get:165 http://172.17.0.1/private bullseye-staging/main armhf libsodium23 armhf 1.0.18-1 [143 kB]
Get:166 http://172.17.0.1/private bullseye-staging/main armhf libzmq5 armhf 4.3.2-2 [203 kB]
Get:167 http://172.17.0.1/private bullseye-staging/main armhf python3-zmq armhf 18.1.1-3 [356 kB]
Get:168 http://172.17.0.1/private bullseye-staging/main armhf python3-jupyter-client all 6.1.2-1 [74.1 kB]
Get:169 http://172.17.0.1/private bullseye-staging/main armhf python3-testpath all 0.4.4+dfsg-1 [8996 B]
Get:170 http://172.17.0.1/private bullseye-staging/main armhf python3-webencodings all 0.5.1-1 [10.9 kB]
Get:171 http://172.17.0.1/private bullseye-staging/main armhf python3-html5lib all 1.0.1-2 [89.6 kB]
Get:172 http://172.17.0.1/private bullseye-staging/main armhf python3-bleach all 3.1.4-1 [115 kB]
Get:173 http://172.17.0.1/private bullseye-staging/main armhf python3-defusedxml all 0.6.0-2 [38.2 kB]
Get:174 http://172.17.0.1/private bullseye-staging/main armhf python3-markupsafe armhf 1.1.1-1 [15.0 kB]
Get:175 http://172.17.0.1/private bullseye-staging/main armhf python3-jinja2 all 2.10.1-2 [107 kB]
Get:176 http://172.17.0.1/private bullseye-staging/main armhf python3-mistune all 0.8.4-2 [16.2 kB]
Get:177 http://172.17.0.1/private bullseye-staging/main armhf python3-attr all 19.3.0-2 [43.3 kB]
Get:178 http://172.17.0.1/private bullseye-staging/main armhf python3-setuptools all 44.0.0-1 [313 kB]
Get:179 http://172.17.0.1/private bullseye-staging/main armhf python3-pyrsistent armhf 0.15.5-1+b1 [57.7 kB]
Get:180 http://172.17.0.1/private bullseye-staging/main armhf python3-jsonschema all 3.0.2-4 [44.9 kB]
Get:181 http://172.17.0.1/private bullseye-staging/main armhf python3-nbformat all 5.0.5-1 [31.6 kB]
Get:182 http://172.17.0.1/private bullseye-staging/main armhf python3-pandocfilters all 1.4.2-2 [18.9 kB]
Get:183 http://172.17.0.1/private bullseye-staging/main armhf python3-nbconvert all 5.6.1-1 [113 kB]
Get:184 http://172.17.0.1/private bullseye-staging/main armhf jupyter-nbconvert all 5.6.1-1 [17.2 kB]
Get:185 http://172.17.0.1/private bullseye-staging/main armhf libpaper-utils armhf 1.1.28 [17.7 kB]
Get:186 http://172.17.0.1/private bullseye-staging/main armhf xdg-utils all 1.1.3-2 [74.6 kB]
Get:187 http://172.17.0.1/private bullseye-staging/main armhf texlive-base all 2019.20200302-1 [21.0 MB]
Get:188 http://172.17.0.1/private bullseye-staging/main armhf texlive-latex-base all 2019.20200302-1 [1051 kB]
Get:189 http://172.17.0.1/private bullseye-staging/main armhf latexmk all 1:4.69-0.1 [391 kB]
Get:190 http://172.17.0.1/private bullseye-staging/main armhf libapache-pom-java all 18-1 [4676 B]
Get:191 http://172.17.0.1/private bullseye-staging/main armhf libblas3 armhf 3.9.0-1 [108 kB]
Get:192 http://172.17.0.1/private bullseye-staging/main armhf libblas-dev armhf 3.9.0-1 [113 kB]
Get:193 http://172.17.0.1/private bullseye-staging/main armhf libc-ares2 armhf 1.15.0-1 [84.0 kB]
Get:194 http://172.17.0.1/private bullseye-staging/main armhf libcommons-parent-java all 43-1 [10.8 kB]
Get:195 http://172.17.0.1/private bullseye-staging/main armhf libcommons-logging-java all 1.2-2 [62.2 kB]
Get:196 http://172.17.0.1/private bullseye-staging/main armhf libexpat1-dev armhf 2.2.9-1 [119 kB]
Get:197 http://172.17.0.1/private bullseye-staging/main armhf libfontbox-java all 1:1.8.16-2 [211 kB]
Get:198 http://172.17.0.1/private bullseye-staging/main armhf libgfortran5 armhf 10-20200324-1+rpi1 [230 kB]
Get:199 http://172.17.0.1/private bullseye-staging/main armhf libjs-d3 all 3.5.17-2 [132 kB]
Get:200 http://172.17.0.1/private bullseye-staging/main armhf libjs-jquery all 3.3.1~dfsg-3 [332 kB]
Get:201 http://172.17.0.1/private bullseye-staging/main armhf libjs-modernizr all 2.6.2+ds1-3 [46.7 kB]
Get:202 http://172.17.0.1/private bullseye-staging/main armhf libjs-underscore all 1.9.1~dfsg-1 [99.4 kB]
Get:203 http://172.17.0.1/private bullseye-staging/main armhf libjs-sphinxdoc all 1.8.5-8 [96.9 kB]
Get:204 http://172.17.0.1/private bullseye-staging/main armhf liblapack3 armhf 3.9.0-1 [1597 kB]
Get:205 http://172.17.0.1/private bullseye-staging/main armhf liblbfgsb0 armhf 3.0+dfsg.3-7 [26.1 kB]
Get:206 http://172.17.0.1/private bullseye-staging/main armhf libnghttp2-14 armhf 1.40.0-1+b2 [74.2 kB]
Get:207 http://172.17.0.1/private bullseye-staging/main armhf libuv1 armhf 1.34.2-1 [114 kB]
Get:208 http://172.17.0.1/private bullseye-staging/main armhf libnode64 armhf 10.19.0~dfsg-3 [5187 kB]
Get:209 http://172.17.0.1/private bullseye-staging/main armhf libpdfbox-java all 1:1.8.16-2 [5205 kB]
Get:210 http://172.17.0.1/private bullseye-staging/main armhf libpython3.8 armhf 3.8.2-1 [1367 kB]
Get:211 http://172.17.0.1/private bullseye-staging/main armhf libpython3.8-dev armhf 3.8.2-1 [46.0 MB]
Get:212 http://172.17.0.1/private bullseye-staging/main armhf libpython3-dev armhf 3.8.2-2 [20.9 kB]
Get:213 http://172.17.0.1/private bullseye-staging/main armhf libpython3.7-stdlib armhf 3.7.7-1 [1670 kB]
Get:214 http://172.17.0.1/private bullseye-staging/main armhf nodejs armhf 10.19.0~dfsg-3 [88.1 kB]
Get:215 http://172.17.0.1/private bullseye-staging/main armhf node-ansi-regex all 5.0.0-1 [4684 B]
Get:216 http://172.17.0.1/private bullseye-staging/main armhf node-color-name all 1.1.3-1 [4090 B]
Get:217 http://172.17.0.1/private bullseye-staging/main armhf node-color-convert all 1.9.3-1 [10.2 kB]
Get:218 http://172.17.0.1/private bullseye-staging/main armhf node-ansi-styles all 4.2.1-1 [7600 B]
Get:219 http://172.17.0.1/private bullseye-staging/main armhf node-pend all 1.2.0-3 [3672 B]
Get:220 http://172.17.0.1/private bullseye-staging/main armhf node-browserify-lite all 0.5.1-1 [9652 B]
Get:221 http://172.17.0.1/private bullseye-staging/main armhf node-camelcase all 5.3.1-1 [4840 B]
Get:222 http://172.17.0.1/private bullseye-staging/main armhf node-clone all 2.1.2-1 [7880 B]
Get:223 http://172.17.0.1/private bullseye-staging/main armhf node-defaults all 1.0.3-1 [3108 B]
Get:224 http://172.17.0.1/private bullseye-staging/main armhf node-wcwidth.js all 1.0.0-1 [6408 B]
Get:225 http://172.17.0.1/private bullseye-staging/main armhf node-strip-ansi all 6.0.0-2 [4044 B]
Get:226 http://172.17.0.1/private bullseye-staging/main armhf node-string-width all 2.1.1-1 [3992 B]
Get:227 http://172.17.0.1/private bullseye-staging/main armhf node-wrap-ansi all 4.0.0-2 [5540 B]
Get:228 http://172.17.0.1/private bullseye-staging/main armhf node-cliui all 4.1.0-2 [7964 B]
Get:229 http://172.17.0.1/private bullseye-staging/main armhf node-yallist all 4.0.0-1 [6576 B]
Get:230 http://172.17.0.1/private bullseye-staging/main armhf node-lru-cache all 5.1.1-5 [8356 B]
Get:231 http://172.17.0.1/private bullseye-staging/main armhf node-isexe all 2.0.0-4 [4404 B]
Get:232 http://172.17.0.1/private bullseye-staging/main armhf node-which all 2.0.2-1 [6732 B]
Get:233 http://172.17.0.1/private bullseye-staging/main armhf node-shebang-regex all 2.0.0-1 [2742 B]
Get:234 http://172.17.0.1/private bullseye-staging/main armhf node-shebang-command all 1.2.0-1 [2900 B]
Get:235 http://172.17.0.1/private bullseye-staging/main armhf node-cross-spawn all 5.1.0-2 [8732 B]
Get:236 http://172.17.0.1/private bullseye-staging/main armhf node-decamelize all 1.2.0-1 [3044 B]
Get:237 http://172.17.0.1/private bullseye-staging/main armhf node-wrappy all 1.0.2-1 [3114 B]
Get:238 http://172.17.0.1/private bullseye-staging/main armhf node-once all 1.4.0-3 [4344 B]
Get:239 http://172.17.0.1/private bullseye-staging/main armhf node-end-of-stream all 1.4.4-1 [4356 B]
Get:240 http://172.17.0.1/private bullseye-staging/main armhf node-pump all 3.0.0-2 [4784 B]
Get:241 http://172.17.0.1/private bullseye-staging/main armhf node-get-stream all 4.1.0-1 [5208 B]
Get:242 http://172.17.0.1/private bullseye-staging/main armhf node-is-stream all 1.1.0-1 [2998 B]
Get:243 http://172.17.0.1/private bullseye-staging/main armhf node-npm-run-path all 2.0.2-2 [4412 B]
Get:244 http://172.17.0.1/private bullseye-staging/main armhf node-p-finally all 1.0.0-2 [3230 B]
Get:245 http://172.17.0.1/private bullseye-staging/main armhf node-signal-exit all 3.0.2-1 [5648 B]
Get:246 http://172.17.0.1/private bullseye-staging/main armhf node-strip-eof all 1.0.0-2 [3010 B]
Get:247 http://172.17.0.1/private bullseye-staging/main armhf node-execa all 0.10.0+dfsg-1 [8936 B]
Get:248 http://172.17.0.1/private bullseye-staging/main armhf node-p-limit all 2.2.2-1 [5516 B]
Get:249 http://172.17.0.1/private bullseye-staging/main armhf node-p-locate all 2.0.0-1 [3986 B]
Get:250 http://172.17.0.1/private bullseye-staging/main armhf node-path-exists all 4.0.0-2 [3840 B]
Get:251 http://172.17.0.1/private bullseye-staging/main armhf node-locate-path all 5.0.0-2 [4916 B]
Get:252 http://172.17.0.1/private bullseye-staging/main armhf node-find-up all 4.1.0-2 [5684 B]
Get:253 http://172.17.0.1/private bullseye-staging/main armhf node-get-caller-file all 1.0.2-1 [2814 B]
Get:254 http://172.17.0.1/private bullseye-staging/main armhf node-invert-kv all 1.0.0-1 [2862 B]
Get:255 http://172.17.0.1/private bullseye-staging/main armhf node-lcid all 1.0.0-1 [4232 B]
Get:256 http://172.17.0.1/private bullseye-staging/main armhf node-lodash-compat all 3.10.2-1 [80.2 kB]
Get:257 http://172.17.0.1/private bullseye-staging/main armhf node-mimic-fn all 3.0.0-1 [5004 B]
Get:258 http://172.17.0.1/private bullseye-staging/main armhf node-mem all 1.1.0-1 [4076 B]
Get:259 http://172.17.0.1/private bullseye-staging/main armhf node-os-locale all 4.0.0-1 [4684 B]
Get:260 http://172.17.0.1/private bullseye-staging/main armhf node-pegjs all 0.7.0-2 [28.5 kB]
Get:261 http://172.17.0.1/private bullseye-staging/main armhf node-require-directory all 2.1.1-1 [5364 B]
Get:262 http://172.17.0.1/private bullseye-staging/main armhf node-require-main-filename all 1.0.1-1 [3152 B]
Get:263 http://172.17.0.1/private bullseye-staging/main armhf node-set-blocking all 2.0.0-1 [3806 B]
Get:264 http://172.17.0.1/private bullseye-staging/main armhf node-which-module all 2.0.0-1 [3792 B]
Get:265 http://172.17.0.1/private bullseye-staging/main armhf node-y18n all 4.0.0-2 [5892 B]
Get:266 http://172.17.0.1/private bullseye-staging/main armhf node-yargs-parser all 18.1.1-1 [21.4 kB]
Get:267 http://172.17.0.1/private bullseye-staging/main armhf node-yargs all 15.3.0-1 [98.1 kB]
Get:268 http://172.17.0.1/private bullseye-staging/main armhf node-uglify all 2.8.29-6 [118 kB]
Get:269 http://172.17.0.1/private bullseye-staging/main armhf preview-latex-style all 11.91-2 [201 kB]
Get:270 http://172.17.0.1/private bullseye-staging/main armhf python-babel-localedata all 2.8.0+dfsg.1-2 [4399 kB]
Get:271 http://172.17.0.1/private bullseye-staging/main armhf python3-alabaster all 0.7.8-1.1 [18.6 kB]
Get:272 http://172.17.0.1/private bullseye-staging/main armhf python3-tz all 2019.3-1 [27.2 kB]
Get:273 http://172.17.0.1/private bullseye-staging/main armhf python3-babel all 2.8.0+dfsg.1-2 [99.8 kB]
Get:274 http://172.17.0.1/private bullseye-staging/main armhf python3-certifi all 2019.11.28-1 [149 kB]
Get:275 http://172.17.0.1/private bullseye-staging/main armhf python3-chardet all 3.0.4-4 [80.8 kB]
Get:276 http://172.17.0.1/private bullseye-staging/main armhf zlib1g-dev armhf 1:1.2.11.dfsg-2 [184 kB]
Get:277 http://172.17.0.1/private bullseye-staging/main armhf python3.8-dev armhf 3.8.2-1 [533 kB]
Get:278 http://172.17.0.1/private bullseye-staging/main armhf python3-dev armhf 3.8.2-2 [1168 B]
Get:279 http://172.17.0.1/private bullseye-staging/main armhf python3-roman all 2.0.0-4 [8972 B]
Get:280 http://172.17.0.1/private bullseye-staging/main armhf python3-docutils all 0.16+dfsg-2 [383 kB]
Get:281 http://172.17.0.1/private bullseye-staging/main armhf python3-idna all 2.8-1 [36.5 kB]
Get:282 http://172.17.0.1/private bullseye-staging/main armhf python3-imagesize all 1.2.0-2 [5824 B]
Get:283 http://172.17.0.1/private bullseye-staging/main armhf python3-ipykernel all 5.2.0-1 [82.0 kB]
Get:284 http://172.17.0.1/private bullseye-staging/main armhf python3-nose all 1.3.7-5 [133 kB]
Get:285 http://172.17.0.1/private bullseye-staging/main armhf python3.7 armhf 3.7.7-1 [354 kB]
Get:286 http://172.17.0.1/private bullseye-staging/main armhf python3-numpy armhf 1:1.17.4-5+b1 [4484 kB]
Get:287 http://172.17.0.1/private bullseye-staging/main armhf python3-pyparsing all 2.4.6-1 [109 kB]
Get:288 http://172.17.0.1/private bullseye-staging/main armhf python3-packaging all 20.3-1 [29.7 kB]
Get:289 http://172.17.0.1/private bullseye-staging/main armhf python3-parameterized all 0.7.0-2 [17.2 kB]
Get:290 http://172.17.0.1/private bullseye-staging/main armhf python3-pydot all 1.4.1-3 [23.3 kB]
Get:291 http://172.17.0.1/private bullseye-staging/main armhf python3-urllib3 all 1.25.8-1 [104 kB]
Get:292 http://172.17.0.1/private bullseye-staging/main armhf python3-requests all 2.22.0-2 [67.0 kB]
Get:293 http://172.17.0.1/private bullseye-staging/main armhf python3-scipy armhf 1.3.3-3+b1 [12.1 MB]
Get:294 http://172.17.0.1/private bullseye-staging/main armhf sphinx-common all 1.8.5-8 [447 kB]
Get:295 http://172.17.0.1/private bullseye-staging/main armhf python3-sphinx all 1.8.5-8 [482 kB]
Get:296 http://172.17.0.1/private bullseye-staging/main armhf sphinx-rtd-theme-common all 0.4.3+dfsg-3 [993 kB]
Get:297 http://172.17.0.1/private bullseye-staging/main armhf python3-sphinx-rtd-theme all 0.4.3+dfsg-3 [9928 B]
Get:298 http://172.17.0.1/private bullseye-staging/main armhf rdfind armhf 1.4.1-1+b1 [35.7 kB]
Get:299 http://172.17.0.1/private bullseye-staging/main armhf symlinks armhf 1.4-4 [10.2 kB]
Get:300 http://172.17.0.1/private bullseye-staging/main armhf texlive-fonts-recommended all 2019.20200302-1 [5001 kB]
Get:301 http://172.17.0.1/private bullseye-staging/main armhf texlive-latex-recommended all 2019.20200302-1 [15.7 MB]
Get:302 http://172.17.0.1/private bullseye-staging/main armhf texlive-pictures all 2019.20200302-1 [4526 kB]
Get:303 http://172.17.0.1/private bullseye-staging/main armhf texlive-latex-extra all 2019.202000302-1 [12.9 MB]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 224 MB in 1min 6s (3417 kB/s)
Selecting previously unselected package libbsd0:armhf.
(Reading database ... 14084 files and directories currently installed.)
Preparing to unpack .../00-libbsd0_0.10.0-1_armhf.deb ...
Unpacking libbsd0:armhf (0.10.0-1) ...
Selecting previously unselected package libtinfo5:armhf.
Preparing to unpack .../01-libtinfo5_6.2-1_armhf.deb ...
Unpacking libtinfo5:armhf (6.2-1) ...
Selecting previously unselected package bsdmainutils.
Preparing to unpack .../02-bsdmainutils_11.1.2_armhf.deb ...
Unpacking bsdmainutils (11.1.2) ...
Selecting previously unselected package libuchardet0:armhf.
Preparing to unpack .../03-libuchardet0_0.0.6-3_armhf.deb ...
Unpacking libuchardet0:armhf (0.0.6-3) ...
Selecting previously unselected package groff-base.
Preparing to unpack .../04-groff-base_1.22.4-4_armhf.deb ...
Unpacking groff-base (1.22.4-4) ...
Selecting previously unselected package libpipeline1:armhf.
Preparing to unpack .../05-libpipeline1_1.5.2-2_armhf.deb ...
Unpacking libpipeline1:armhf (1.5.2-2) ...
Selecting previously unselected package man-db.
Preparing to unpack .../06-man-db_2.9.1-1_armhf.deb ...
Unpacking man-db (2.9.1-1) ...
Selecting previously unselected package fonts-lato.
Preparing to unpack .../07-fonts-lato_2.0-2_all.deb ...
Unpacking fonts-lato (2.0-2) ...
Selecting previously unselected package poppler-data.
Preparing to unpack .../08-poppler-data_0.4.9-2_all.deb ...
Unpacking poppler-data (0.4.9-2) ...
Selecting previously unselected package libssl1.1:armhf.
Preparing to unpack .../09-libssl1.1_1.1.1d-2_armhf.deb ...
Unpacking libssl1.1:armhf (1.1.1d-2) ...
Selecting previously unselected package libpython3.8-minimal:armhf.
Preparing to unpack .../10-libpython3.8-minimal_3.8.2-1_armhf.deb ...
Unpacking libpython3.8-minimal:armhf (3.8.2-1) ...
Selecting previously unselected package libexpat1:armhf.
Preparing to unpack .../11-libexpat1_2.2.9-1_armhf.deb ...
Unpacking libexpat1:armhf (2.2.9-1) ...
Selecting previously unselected package python3.8-minimal.
Preparing to unpack .../12-python3.8-minimal_3.8.2-1_armhf.deb ...
Unpacking python3.8-minimal (3.8.2-1) ...
Setting up libssl1.1:armhf (1.1.1d-2) ...
Setting up libpython3.8-minimal:armhf (3.8.2-1) ...
Setting up libexpat1:armhf (2.2.9-1) ...
Setting up python3.8-minimal (3.8.2-1) ...
Selecting previously unselected package python3-minimal.
(Reading database ... 15589 files and directories currently installed.)
Preparing to unpack .../0-python3-minimal_3.8.2-2_armhf.deb ...
Unpacking python3-minimal (3.8.2-2) ...
Selecting previously unselected package mime-support.
Preparing to unpack .../1-mime-support_3.64_all.deb ...
Unpacking mime-support (3.64) ...
Selecting previously unselected package libmpdec2:armhf.
Preparing to unpack .../2-libmpdec2_2.4.2-3_armhf.deb ...
Unpacking libmpdec2:armhf (2.4.2-3) ...
Selecting previously unselected package libpython3.8-stdlib:armhf.
Preparing to unpack .../3-libpython3.8-stdlib_3.8.2-1_armhf.deb ...
Unpacking libpython3.8-stdlib:armhf (3.8.2-1) ...
Selecting previously unselected package python3.8.
Preparing to unpack .../4-python3.8_3.8.2-1_armhf.deb ...
Unpacking python3.8 (3.8.2-1) ...
Selecting previously unselected package libpython3-stdlib:armhf.
Preparing to unpack .../5-libpython3-stdlib_3.8.2-2_armhf.deb ...
Unpacking libpython3-stdlib:armhf (3.8.2-2) ...
Setting up python3-minimal (3.8.2-2) ...
Selecting previously unselected package python3.
(Reading database ... 15991 files and directories currently installed.)
Preparing to unpack .../000-python3_3.8.2-2_armhf.deb ...
Unpacking python3 (3.8.2-2) ...
Selecting previously unselected package libpython3.7-minimal:armhf.
Preparing to unpack .../001-libpython3.7-minimal_3.7.7-1_armhf.deb ...
Unpacking libpython3.7-minimal:armhf (3.7.7-1) ...
Selecting previously unselected package python3.7-minimal.
Preparing to unpack .../002-python3.7-minimal_3.7.7-1_armhf.deb ...
Unpacking python3.7-minimal (3.7.7-1) ...
Selecting previously unselected package sgml-base.
Preparing to unpack .../003-sgml-base_1.29.1_all.deb ...
Unpacking sgml-base (1.29.1) ...
Selecting previously unselected package sensible-utils.
Preparing to unpack .../004-sensible-utils_0.0.12+nmu1_all.deb ...
Unpacking sensible-utils (0.0.12+nmu1) ...
Selecting previously unselected package ucf.
Preparing to unpack .../005-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 .../006-tex-common_6.13_all.deb ...
Unpacking tex-common (6.13) ...
Selecting previously unselected package libmagic-mgc.
Preparing to unpack .../007-libmagic-mgc_1%3a5.38-4_armhf.deb ...
Unpacking libmagic-mgc (1:5.38-4) ...
Selecting previously unselected package libmagic1:armhf.
Preparing to unpack .../008-libmagic1_1%3a5.38-4_armhf.deb ...
Unpacking libmagic1:armhf (1:5.38-4) ...
Selecting previously unselected package file.
Preparing to unpack .../009-file_1%3a5.38-4_armhf.deb ...
Unpacking file (1:5.38-4) ...
Selecting previously unselected package gettext-base.
Preparing to unpack .../010-gettext-base_0.19.8.1-10_armhf.deb ...
Unpacking gettext-base (0.19.8.1-10) ...
Selecting previously unselected package libsigsegv2:armhf.
Preparing to unpack .../011-libsigsegv2_2.12-2_armhf.deb ...
Unpacking libsigsegv2:armhf (2.12-2) ...
Selecting previously unselected package m4.
Preparing to unpack .../012-m4_1.4.18-4_armhf.deb ...
Unpacking m4 (1.4.18-4) ...
Selecting previously unselected package autoconf.
Preparing to unpack .../013-autoconf_2.69-11.1_all.deb ...
Unpacking autoconf (2.69-11.1) ...
Selecting previously unselected package autotools-dev.
Preparing to unpack .../014-autotools-dev_20180224.1_all.deb ...
Unpacking autotools-dev (20180224.1) ...
Selecting previously unselected package automake.
Preparing to unpack .../015-automake_1%3a1.16.1-4_all.deb ...
Unpacking automake (1:1.16.1-4) ...
Selecting previously unselected package autopoint.
Preparing to unpack .../016-autopoint_0.19.8.1-10_all.deb ...
Unpacking autopoint (0.19.8.1-10) ...
Selecting previously unselected package openssl.
Preparing to unpack .../017-openssl_1.1.1d-2_armhf.deb ...
Unpacking openssl (1.1.1d-2) ...
Selecting previously unselected package ca-certificates.
Preparing to unpack .../018-ca-certificates_20190110_all.deb ...
Unpacking ca-certificates (20190110) ...
Selecting previously unselected package cython3.
Preparing to unpack .../019-cython3_0.29.14-0.1+b1_armhf.deb ...
Unpacking cython3 (0.29.14-0.1+b1) ...
Selecting previously unselected package libtool.
Preparing to unpack .../020-libtool_2.4.6-14_all.deb ...
Unpacking libtool (2.4.6-14) ...
Selecting previously unselected package dh-autoreconf.
Preparing to unpack .../021-dh-autoreconf_19_all.deb ...
Unpacking dh-autoreconf (19) ...
Selecting previously unselected package libdebhelper-perl.
Preparing to unpack .../022-libdebhelper-perl_12.10_all.deb ...
Unpacking libdebhelper-perl (12.10) ...
Selecting previously unselected package libarchive-zip-perl.
Preparing to unpack .../023-libarchive-zip-perl_1.68-1_all.deb ...
Unpacking libarchive-zip-perl (1.68-1) ...
Selecting previously unselected package libsub-override-perl.
Preparing to unpack .../024-libsub-override-perl_0.09-2_all.deb ...
Unpacking libsub-override-perl (0.09-2) ...
Selecting previously unselected package libfile-stripnondeterminism-perl.
Preparing to unpack .../025-libfile-stripnondeterminism-perl_1.6.3-2_all.deb ...
Unpacking libfile-stripnondeterminism-perl (1.6.3-2) ...
Selecting previously unselected package dh-strip-nondeterminism.
Preparing to unpack .../026-dh-strip-nondeterminism_1.6.3-2_all.deb ...
Unpacking dh-strip-nondeterminism (1.6.3-2) ...
Selecting previously unselected package libelf1:armhf.
Preparing to unpack .../027-libelf1_0.176-1.1_armhf.deb ...
Unpacking libelf1:armhf (0.176-1.1) ...
Selecting previously unselected package dwz.
Preparing to unpack .../028-dwz_0.13-5_armhf.deb ...
Unpacking dwz (0.13-5) ...
Selecting previously unselected package libglib2.0-0:armhf.
Preparing to unpack .../029-libglib2.0-0_2.64.1-1_armhf.deb ...
Unpacking libglib2.0-0:armhf (2.64.1-1) ...
Selecting previously unselected package libicu63:armhf.
Preparing to unpack .../030-libicu63_63.2-3_armhf.deb ...
Unpacking libicu63:armhf (63.2-3) ...
Selecting previously unselected package libxml2:armhf.
Preparing to unpack .../031-libxml2_2.9.10+dfsg-4_armhf.deb ...
Unpacking libxml2:armhf (2.9.10+dfsg-4) ...
Selecting previously unselected package libcroco3:armhf.
Preparing to unpack .../032-libcroco3_0.6.13-1_armhf.deb ...
Unpacking libcroco3:armhf (0.6.13-1) ...
Selecting previously unselected package gettext.
Preparing to unpack .../033-gettext_0.19.8.1-10_armhf.deb ...
Unpacking gettext (0.19.8.1-10) ...
Selecting previously unselected package intltool-debian.
Preparing to unpack .../034-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 .../035-po-debconf_1.0.21_all.deb ...
Unpacking po-debconf (1.0.21) ...
Selecting previously unselected package debhelper.
Preparing to unpack .../036-debhelper_12.10_all.deb ...
Unpacking debhelper (12.10) ...
Selecting previously unselected package python3-lib2to3.
Preparing to unpack .../037-python3-lib2to3_3.8.2-2_all.deb ...
Unpacking python3-lib2to3 (3.8.2-2) ...
Selecting previously unselected package python3-distutils.
Preparing to unpack .../038-python3-distutils_3.8.2-2_all.deb ...
Unpacking python3-distutils (3.8.2-2) ...
Selecting previously unselected package dh-python.
Preparing to unpack .../039-dh-python_4.20200315_all.deb ...
Unpacking dh-python (4.20200315) ...
Selecting previously unselected package xml-core.
Preparing to unpack .../040-xml-core_0.18+nmu1_all.deb ...
Unpacking xml-core (0.18+nmu1) ...
Selecting previously unselected package docutils-common.
Preparing to unpack .../041-docutils-common_0.16+dfsg-2_all.deb ...
Unpacking docutils-common (0.16+dfsg-2) ...
Selecting previously unselected package libpng16-16:armhf.
Preparing to unpack .../042-libpng16-16_1.6.37-2_armhf.deb ...
Unpacking libpng16-16:armhf (1.6.37-2) ...
Selecting previously unselected package libfreetype6:armhf.
Preparing to unpack .../043-libfreetype6_2.10.1-2_armhf.deb ...
Unpacking libfreetype6:armhf (2.10.1-2) ...
Selecting previously unselected package fonts-dejavu-core.
Preparing to unpack .../044-fonts-dejavu-core_2.37-1_all.deb ...
Unpacking fonts-dejavu-core (2.37-1) ...
Selecting previously unselected package fontconfig-config.
Preparing to unpack .../045-fontconfig-config_2.13.1-2_all.deb ...
Unpacking fontconfig-config (2.13.1-2) ...
Selecting previously unselected package libfontconfig1:armhf.
Preparing to unpack .../046-libfontconfig1_2.13.1-2_armhf.deb ...
Unpacking libfontconfig1:armhf (2.13.1-2) ...
Selecting previously unselected package libjpeg62-turbo:armhf.
Preparing to unpack .../047-libjpeg62-turbo_1%3a1.5.2-2+b1_armhf.deb ...
Unpacking libjpeg62-turbo:armhf (1:1.5.2-2+b1) ...
Selecting previously unselected package libjbig0:armhf.
Preparing to unpack .../048-libjbig0_2.1-3.1+b2_armhf.deb ...
Unpacking libjbig0:armhf (2.1-3.1+b2) ...
Selecting previously unselected package libwebp6:armhf.
Preparing to unpack .../049-libwebp6_0.6.1-2_armhf.deb ...
Unpacking libwebp6:armhf (0.6.1-2) ...
Selecting previously unselected package libtiff5:armhf.
Preparing to unpack .../050-libtiff5_4.1.0+git191117-2_armhf.deb ...
Unpacking libtiff5:armhf (4.1.0+git191117-2) ...
Selecting previously unselected package libxau6:armhf.
Preparing to unpack .../051-libxau6_1%3a1.0.8-1+b2_armhf.deb ...
Unpacking libxau6:armhf (1:1.0.8-1+b2) ...
Selecting previously unselected package libxdmcp6:armhf.
Preparing to unpack .../052-libxdmcp6_1%3a1.1.2-3_armhf.deb ...
Unpacking libxdmcp6:armhf (1:1.1.2-3) ...
Selecting previously unselected package libxcb1:armhf.
Preparing to unpack .../053-libxcb1_1.14-2_armhf.deb ...
Unpacking libxcb1:armhf (1.14-2) ...
Selecting previously unselected package libx11-data.
Preparing to unpack .../054-libx11-data_2%3a1.6.9-2_all.deb ...
Unpacking libx11-data (2:1.6.9-2) ...
Selecting previously unselected package libx11-6:armhf.
Preparing to unpack .../055-libx11-6_2%3a1.6.9-2_armhf.deb ...
Unpacking libx11-6:armhf (2:1.6.9-2) ...
Selecting previously unselected package libxpm4:armhf.
Preparing to unpack .../056-libxpm4_1%3a3.5.12-1_armhf.deb ...
Unpacking libxpm4:armhf (1:3.5.12-1) ...
Selecting previously unselected package libgd3:armhf.
Preparing to unpack .../057-libgd3_2.2.5-5.2_armhf.deb ...
Unpacking libgd3:armhf (2.2.5-5.2) ...
Selecting previously unselected package libkpathsea6:armhf.
Preparing to unpack .../058-libkpathsea6_2019.20190605.51237-3_armhf.deb ...
Unpacking libkpathsea6:armhf (2019.20190605.51237-3) ...
Selecting previously unselected package libptexenc1:armhf.
Preparing to unpack .../059-libptexenc1_2019.20190605.51237-3_armhf.deb ...
Unpacking libptexenc1:armhf (2019.20190605.51237-3) ...
Selecting previously unselected package libsynctex2:armhf.
Preparing to unpack .../060-libsynctex2_2019.20190605.51237-3_armhf.deb ...
Unpacking libsynctex2:armhf (2019.20190605.51237-3) ...
Selecting previously unselected package libtexlua53:armhf.
Preparing to unpack .../061-libtexlua53_2019.20190605.51237-3_armhf.deb ...
Unpacking libtexlua53:armhf (2019.20190605.51237-3) ...
Selecting previously unselected package libtexluajit2:armhf.
Preparing to unpack .../062-libtexluajit2_2019.20190605.51237-3_armhf.deb ...
Unpacking libtexluajit2:armhf (2019.20190605.51237-3) ...
Selecting previously unselected package t1utils.
Preparing to unpack .../063-t1utils_1.41-3_armhf.deb ...
Unpacking t1utils (1.41-3) ...
Selecting previously unselected package libpixman-1-0:armhf.
Preparing to unpack .../064-libpixman-1-0_0.36.0-1_armhf.deb ...
Unpacking libpixman-1-0:armhf (0.36.0-1) ...
Selecting previously unselected package libxcb-render0:armhf.
Preparing to unpack .../065-libxcb-render0_1.14-2_armhf.deb ...
Unpacking libxcb-render0:armhf (1.14-2) ...
Selecting previously unselected package libxcb-shm0:armhf.
Preparing to unpack .../066-libxcb-shm0_1.14-2_armhf.deb ...
Unpacking libxcb-shm0:armhf (1.14-2) ...
Selecting previously unselected package libxext6:armhf.
Preparing to unpack .../067-libxext6_2%3a1.3.3-1+b2_armhf.deb ...
Unpacking libxext6:armhf (2:1.3.3-1+b2) ...
Selecting previously unselected package libxrender1:armhf.
Preparing to unpack .../068-libxrender1_1%3a0.9.10-1_armhf.deb ...
Unpacking libxrender1:armhf (1:0.9.10-1) ...
Selecting previously unselected package libcairo2:armhf.
Preparing to unpack .../069-libcairo2_1.16.0-4_armhf.deb ...
Unpacking libcairo2:armhf (1.16.0-4) ...
Selecting previously unselected package libgraphite2-3:armhf.
Preparing to unpack .../070-libgraphite2-3_1.3.13-11_armhf.deb ...
Unpacking libgraphite2-3:armhf (1.3.13-11) ...
Selecting previously unselected package libharfbuzz0b:armhf.
Preparing to unpack .../071-libharfbuzz0b_2.6.4-1+rpi1_armhf.deb ...
Unpacking libharfbuzz0b:armhf (2.6.4-1+rpi1) ...
Selecting previously unselected package libharfbuzz-icu0:armhf.
Preparing to unpack .../072-libharfbuzz-icu0_2.6.4-1+rpi1_armhf.deb ...
Unpacking libharfbuzz-icu0:armhf (2.6.4-1+rpi1) ...
Selecting previously unselected package libpaper1:armhf.
Preparing to unpack .../073-libpaper1_1.1.28_armhf.deb ...
Unpacking libpaper1:armhf (1.1.28) ...
Selecting previously unselected package libteckit0:armhf.
Preparing to unpack .../074-libteckit0_2.5.8+ds2-5_armhf.deb ...
Unpacking libteckit0:armhf (2.5.8+ds2-5) ...
Selecting previously unselected package x11-common.
Preparing to unpack .../075-x11-common_1%3a7.7+20_all.deb ...
Unpacking x11-common (1:7.7+20) ...
Selecting previously unselected package libice6:armhf.
Preparing to unpack .../076-libice6_2%3a1.0.9-2_armhf.deb ...
Unpacking libice6:armhf (2:1.0.9-2) ...
Selecting previously unselected package libsm6:armhf.
Preparing to unpack .../077-libsm6_2%3a1.2.3-1_armhf.deb ...
Unpacking libsm6:armhf (2:1.2.3-1) ...
Selecting previously unselected package libxt6:armhf.
Preparing to unpack .../078-libxt6_1%3a1.1.5-1+b3_armhf.deb ...
Unpacking libxt6:armhf (1:1.1.5-1+b3) ...
Selecting previously unselected package libxmu6:armhf.
Preparing to unpack .../079-libxmu6_2%3a1.1.2-2+b3_armhf.deb ...
Unpacking libxmu6:armhf (2:1.1.2-2+b3) ...
Selecting previously unselected package libxaw7:armhf.
Preparing to unpack .../080-libxaw7_2%3a1.0.13-1+b2_armhf.deb ...
Unpacking libxaw7:armhf (2:1.0.13-1+b2) ...
Selecting previously unselected package libxi6:armhf.
Preparing to unpack .../081-libxi6_2%3a1.7.9-1_armhf.deb ...
Unpacking libxi6:armhf (2:1.7.9-1) ...
Selecting previously unselected package libzzip-0-13:armhf.
Preparing to unpack .../082-libzzip-0-13_0.13.62-3.2_armhf.deb ...
Unpacking libzzip-0-13:armhf (0.13.62-3.2) ...
Selecting previously unselected package texlive-binaries.
Preparing to unpack .../083-texlive-binaries_2019.20190605.51237-3_armhf.deb ...
Unpacking texlive-binaries (2019.20190605.51237-3) ...
Selecting previously unselected package fonts-urw-base35.
Preparing to unpack .../084-fonts-urw-base35_20170801.1-3_all.deb ...
Unpacking fonts-urw-base35 (20170801.1-3) ...
Selecting previously unselected package libgs9-common.
Preparing to unpack .../085-libgs9-common_9.52~dfsg-1_all.deb ...
Unpacking libgs9-common (9.52~dfsg-1) ...
Selecting previously unselected package libavahi-common-data:armhf.
Preparing to unpack .../086-libavahi-common-data_0.7-5_armhf.deb ...
Unpacking libavahi-common-data:armhf (0.7-5) ...
Selecting previously unselected package libavahi-common3:armhf.
Preparing to unpack .../087-libavahi-common3_0.7-5_armhf.deb ...
Unpacking libavahi-common3:armhf (0.7-5) ...
Selecting previously unselected package libdbus-1-3:armhf.
Preparing to unpack .../088-libdbus-1-3_1.12.16-2+b1_armhf.deb ...
Unpacking libdbus-1-3:armhf (1.12.16-2+b1) ...
Selecting previously unselected package libavahi-client3:armhf.
Preparing to unpack .../089-libavahi-client3_0.7-5_armhf.deb ...
Unpacking libavahi-client3:armhf (0.7-5) ...
Selecting previously unselected package libkrb5support0:armhf.
Preparing to unpack .../090-libkrb5support0_1.17-7_armhf.deb ...
Unpacking libkrb5support0:armhf (1.17-7) ...
Selecting previously unselected package libk5crypto3:armhf.
Preparing to unpack .../091-libk5crypto3_1.17-7_armhf.deb ...
Unpacking libk5crypto3:armhf (1.17-7) ...
Selecting previously unselected package libkeyutils1:armhf.
Preparing to unpack .../092-libkeyutils1_1.6.1-2_armhf.deb ...
Unpacking libkeyutils1:armhf (1.6.1-2) ...
Selecting previously unselected package libkrb5-3:armhf.
Preparing to unpack .../093-libkrb5-3_1.17-7_armhf.deb ...
Unpacking libkrb5-3:armhf (1.17-7) ...
Selecting previously unselected package libgssapi-krb5-2:armhf.
Preparing to unpack .../094-libgssapi-krb5-2_1.17-7_armhf.deb ...
Unpacking libgssapi-krb5-2:armhf (1.17-7) ...
Selecting previously unselected package libcups2:armhf.
Preparing to unpack .../095-libcups2_2.3.1-11_armhf.deb ...
Unpacking libcups2:armhf (2.3.1-11) ...
Selecting previously unselected package libidn11:armhf.
Preparing to unpack .../096-libidn11_1.33-2.2_armhf.deb ...
Unpacking libidn11:armhf (1.33-2.2) ...
Selecting previously unselected package libijs-0.35:armhf.
Preparing to unpack .../097-libijs-0.35_0.35-15_armhf.deb ...
Unpacking libijs-0.35:armhf (0.35-15) ...
Selecting previously unselected package libjbig2dec0:armhf.
Preparing to unpack .../098-libjbig2dec0_0.18-1_armhf.deb ...
Unpacking libjbig2dec0:armhf (0.18-1) ...
Selecting previously unselected package liblcms2-2:armhf.
Preparing to unpack .../099-liblcms2-2_2.9-4_armhf.deb ...
Unpacking liblcms2-2:armhf (2.9-4) ...
Selecting previously unselected package libopenjp2-7:armhf.
Preparing to unpack .../100-libopenjp2-7_2.3.1-1_armhf.deb ...
Unpacking libopenjp2-7:armhf (2.3.1-1) ...
Selecting previously unselected package libgs9:armhf.
Preparing to unpack .../101-libgs9_9.52~dfsg-1_armhf.deb ...
Unpacking libgs9:armhf (9.52~dfsg-1) ...
Selecting previously unselected package ghostscript.
Preparing to unpack .../102-ghostscript_9.52~dfsg-1_armhf.deb ...
Unpacking ghostscript (9.52~dfsg-1) ...
Selecting previously unselected package dvipng.
Preparing to unpack .../103-dvipng_1.15-1.1+b2_armhf.deb ...
Unpacking dvipng (1.15-1.1+b2) ...
Selecting previously unselected package fontconfig.
Preparing to unpack .../104-fontconfig_2.13.1-2_armhf.deb ...
Unpacking fontconfig (2.13.1-2) ...
Selecting previously unselected package fonts-font-awesome.
Preparing to unpack .../105-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 .../106-fonts-lmodern_2.004.5-6_all.deb ...
Unpacking fonts-lmodern (2.004.5-6) ...
Selecting previously unselected package libcdt5:armhf.
Preparing to unpack .../107-libcdt5_2.42.2-3+b2_armhf.deb ...
Unpacking libcdt5:armhf (2.42.2-3+b2) ...
Selecting previously unselected package libcgraph6:armhf.
Preparing to unpack .../108-libcgraph6_2.42.2-3+b2_armhf.deb ...
Unpacking libcgraph6:armhf (2.42.2-3+b2) ...
Selecting previously unselected package libgts-0.7-5:armhf.
Preparing to unpack .../109-libgts-0.7-5_0.7.6+darcs121130-4_armhf.deb ...
Unpacking libgts-0.7-5:armhf (0.7.6+darcs121130-4) ...
Selecting previously unselected package libltdl7:armhf.
Preparing to unpack .../110-libltdl7_2.4.6-14_armhf.deb ...
Unpacking libltdl7:armhf (2.4.6-14) ...
Selecting previously unselected package libfribidi0:armhf.
Preparing to unpack .../111-libfribidi0_1.0.8-2_armhf.deb ...
Unpacking libfribidi0:armhf (1.0.8-2) ...
Selecting previously unselected package libthai-data.
Preparing to unpack .../112-libthai-data_0.1.28-3_all.deb ...
Unpacking libthai-data (0.1.28-3) ...
Selecting previously unselected package libdatrie1:armhf.
Preparing to unpack .../113-libdatrie1_0.2.12-3+b1_armhf.deb ...
Unpacking libdatrie1:armhf (0.2.12-3+b1) ...
Selecting previously unselected package libthai0:armhf.
Preparing to unpack .../114-libthai0_0.1.28-3_armhf.deb ...
Unpacking libthai0:armhf (0.1.28-3) ...
Selecting previously unselected package libpango-1.0-0:armhf.
Preparing to unpack .../115-libpango-1.0-0_1.42.4-8_armhf.deb ...
Unpacking libpango-1.0-0:armhf (1.42.4-8) ...
Selecting previously unselected package libpangoft2-1.0-0:armhf.
Preparing to unpack .../116-libpangoft2-1.0-0_1.42.4-8_armhf.deb ...
Unpacking libpangoft2-1.0-0:armhf (1.42.4-8) ...
Selecting previously unselected package libpangocairo-1.0-0:armhf.
Preparing to unpack .../117-libpangocairo-1.0-0_1.42.4-8_armhf.deb ...
Unpacking libpangocairo-1.0-0:armhf (1.42.4-8) ...
Selecting previously unselected package libpathplan4:armhf.
Preparing to unpack .../118-libpathplan4_2.42.2-3+b2_armhf.deb ...
Unpacking libpathplan4:armhf (2.42.2-3+b2) ...
Selecting previously unselected package libgvc6.
Preparing to unpack .../119-libgvc6_2.42.2-3+b2_armhf.deb ...
Unpacking libgvc6 (2.42.2-3+b2) ...
Selecting previously unselected package libgvpr2:armhf.
Preparing to unpack .../120-libgvpr2_2.42.2-3+b2_armhf.deb ...
Unpacking libgvpr2:armhf (2.42.2-3+b2) ...
Selecting previously unselected package liblab-gamut1:armhf.
Preparing to unpack .../121-liblab-gamut1_2.42.2-3+b2_armhf.deb ...
Unpacking liblab-gamut1:armhf (2.42.2-3+b2) ...
Selecting previously unselected package graphviz.
Preparing to unpack .../122-graphviz_2.42.2-3+b2_armhf.deb ...
Unpacking graphviz (2.42.2-3+b2) ...
Selecting previously unselected package python3-entrypoints.
Preparing to unpack .../123-python3-entrypoints_0.3-2_all.deb ...
Unpacking python3-entrypoints (0.3-2) ...
Selecting previously unselected package python3-backcall.
Preparing to unpack .../124-python3-backcall_0.1.0-2_all.deb ...
Unpacking python3-backcall (0.1.0-2) ...
Selecting previously unselected package python3-decorator.
Preparing to unpack .../125-python3-decorator_4.4.2-1_all.deb ...
Unpacking python3-decorator (4.4.2-1) ...
Selecting previously unselected package python3-parso.
Preparing to unpack .../126-python3-parso_0.6.2-1_all.deb ...
Unpacking python3-parso (0.6.2-1) ...
Selecting previously unselected package python3-jedi.
Preparing to unpack .../127-python3-jedi_0.16.0-1_all.deb ...
Unpacking python3-jedi (0.16.0-1) ...
Selecting previously unselected package python3-ptyprocess.
Preparing to unpack .../128-python3-ptyprocess_0.6.0-1_all.deb ...
Unpacking python3-ptyprocess (0.6.0-1) ...
Selecting previously unselected package python3-pexpect.
Preparing to unpack .../129-python3-pexpect_4.6.0-1_all.deb ...
Unpacking python3-pexpect (4.6.0-1) ...
Selecting previously unselected package python3-pickleshare.
Preparing to unpack .../130-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 .../131-python3-pkg-resources_44.0.0-1_all.deb ...
Unpacking python3-pkg-resources (44.0.0-1) ...
Selecting previously unselected package python3-six.
Preparing to unpack .../132-python3-six_1.14.0-2_all.deb ...
Unpacking python3-six (1.14.0-2) ...
Selecting previously unselected package python3-wcwidth.
Preparing to unpack .../133-python3-wcwidth_0.1.8+dfsg1-3_all.deb ...
Unpacking python3-wcwidth (0.1.8+dfsg1-3) ...
Selecting previously unselected package python3-prompt-toolkit.
Preparing to unpack .../134-python3-prompt-toolkit_2.0.10-2_all.deb ...
Unpacking python3-prompt-toolkit (2.0.10-2) ...
Selecting previously unselected package python3-pygments.
Preparing to unpack .../135-python3-pygments_2.3.1+dfsg-1_all.deb ...
Unpacking python3-pygments (2.3.1+dfsg-1) ...
Selecting previously unselected package python3-ipython-genutils.
Preparing to unpack .../136-python3-ipython-genutils_0.2.0-2_all.deb ...
Unpacking python3-ipython-genutils (0.2.0-2) ...
Selecting previously unselected package python3-traitlets.
Preparing to unpack .../137-python3-traitlets_4.3.3-2_all.deb ...
Unpacking python3-traitlets (4.3.3-2) ...
Selecting previously unselected package python3-ipython.
Preparing to unpack .../138-python3-ipython_7.13.0-1_all.deb ...
Unpacking python3-ipython (7.13.0-1) ...
Selecting previously unselected package python3-dateutil.
Preparing to unpack .../139-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 .../140-python3-jupyter-core_4.6.3-3_all.deb ...
Unpacking python3-jupyter-core (4.6.3-3) ...
Selecting previously unselected package python3-tornado.
Preparing to unpack .../141-python3-tornado_6.0.3+really5.1.1-3_armhf.deb ...
Unpacking python3-tornado (6.0.3+really5.1.1-3) ...
Selecting previously unselected package libnorm1:armhf.
Preparing to unpack .../142-libnorm1_1.5.8+dfsg2-2_armhf.deb ...
Unpacking libnorm1:armhf (1.5.8+dfsg2-2) ...
Selecting previously unselected package libpgm-5.2-0:armhf.
Preparing to unpack .../143-libpgm-5.2-0_5.2.122~dfsg-3_armhf.deb ...
Unpacking libpgm-5.2-0:armhf (5.2.122~dfsg-3) ...
Selecting previously unselected package libsodium23:armhf.
Preparing to unpack .../144-libsodium23_1.0.18-1_armhf.deb ...
Unpacking libsodium23:armhf (1.0.18-1) ...
Selecting previously unselected package libzmq5:armhf.
Preparing to unpack .../145-libzmq5_4.3.2-2_armhf.deb ...
Unpacking libzmq5:armhf (4.3.2-2) ...
Selecting previously unselected package python3-zmq.
Preparing to unpack .../146-python3-zmq_18.1.1-3_armhf.deb ...
Unpacking python3-zmq (18.1.1-3) ...
Selecting previously unselected package python3-jupyter-client.
Preparing to unpack .../147-python3-jupyter-client_6.1.2-1_all.deb ...
Unpacking python3-jupyter-client (6.1.2-1) ...
Selecting previously unselected package python3-testpath.
Preparing to unpack .../148-python3-testpath_0.4.4+dfsg-1_all.deb ...
Unpacking python3-testpath (0.4.4+dfsg-1) ...
Selecting previously unselected package python3-webencodings.
Preparing to unpack .../149-python3-webencodings_0.5.1-1_all.deb ...
Unpacking python3-webencodings (0.5.1-1) ...
Selecting previously unselected package python3-html5lib.
Preparing to unpack .../150-python3-html5lib_1.0.1-2_all.deb ...
Unpacking python3-html5lib (1.0.1-2) ...
Selecting previously unselected package python3-bleach.
Preparing to unpack .../151-python3-bleach_3.1.4-1_all.deb ...
Unpacking python3-bleach (3.1.4-1) ...
Selecting previously unselected package python3-defusedxml.
Preparing to unpack .../152-python3-defusedxml_0.6.0-2_all.deb ...
Unpacking python3-defusedxml (0.6.0-2) ...
Selecting previously unselected package python3-markupsafe.
Preparing to unpack .../153-python3-markupsafe_1.1.1-1_armhf.deb ...
Unpacking python3-markupsafe (1.1.1-1) ...
Selecting previously unselected package python3-jinja2.
Preparing to unpack .../154-python3-jinja2_2.10.1-2_all.deb ...
Unpacking python3-jinja2 (2.10.1-2) ...
Selecting previously unselected package python3-mistune.
Preparing to unpack .../155-python3-mistune_0.8.4-2_all.deb ...
Unpacking python3-mistune (0.8.4-2) ...
Selecting previously unselected package python3-attr.
Preparing to unpack .../156-python3-attr_19.3.0-2_all.deb ...
Unpacking python3-attr (19.3.0-2) ...
Selecting previously unselected package python3-setuptools.
Preparing to unpack .../157-python3-setuptools_44.0.0-1_all.deb ...
Unpacking python3-setuptools (44.0.0-1) ...
Selecting previously unselected package python3-pyrsistent:armhf.
Preparing to unpack .../158-python3-pyrsistent_0.15.5-1+b1_armhf.deb ...
Unpacking python3-pyrsistent:armhf (0.15.5-1+b1) ...
Selecting previously unselected package python3-jsonschema.
Preparing to unpack .../159-python3-jsonschema_3.0.2-4_all.deb ...
Unpacking python3-jsonschema (3.0.2-4) ...
Selecting previously unselected package python3-nbformat.
Preparing to unpack .../160-python3-nbformat_5.0.5-1_all.deb ...
Unpacking python3-nbformat (5.0.5-1) ...
Selecting previously unselected package python3-pandocfilters.
Preparing to unpack .../161-python3-pandocfilters_1.4.2-2_all.deb ...
Unpacking python3-pandocfilters (1.4.2-2) ...
Selecting previously unselected package python3-nbconvert.
Preparing to unpack .../162-python3-nbconvert_5.6.1-1_all.deb ...
Unpacking python3-nbconvert (5.6.1-1) ...
Selecting previously unselected package jupyter-nbconvert.
Preparing to unpack .../163-jupyter-nbconvert_5.6.1-1_all.deb ...
Unpacking jupyter-nbconvert (5.6.1-1) ...
Selecting previously unselected package libpaper-utils.
Preparing to unpack .../164-libpaper-utils_1.1.28_armhf.deb ...
Unpacking libpaper-utils (1.1.28) ...
Selecting previously unselected package xdg-utils.
Preparing to unpack .../165-xdg-utils_1.1.3-2_all.deb ...
Unpacking xdg-utils (1.1.3-2) ...
Selecting previously unselected package texlive-base.
Preparing to unpack .../166-texlive-base_2019.20200302-1_all.deb ...
Unpacking texlive-base (2019.20200302-1) ...
Selecting previously unselected package texlive-latex-base.
Preparing to unpack .../167-texlive-latex-base_2019.20200302-1_all.deb ...
Unpacking texlive-latex-base (2019.20200302-1) ...
Selecting previously unselected package latexmk.
Preparing to unpack .../168-latexmk_1%3a4.69-0.1_all.deb ...
Unpacking latexmk (1:4.69-0.1) ...
Selecting previously unselected package libapache-pom-java.
Preparing to unpack .../169-libapache-pom-java_18-1_all.deb ...
Unpacking libapache-pom-java (18-1) ...
Selecting previously unselected package libblas3:armhf.
Preparing to unpack .../170-libblas3_3.9.0-1_armhf.deb ...
Unpacking libblas3:armhf (3.9.0-1) ...
Selecting previously unselected package libblas-dev:armhf.
Preparing to unpack .../171-libblas-dev_3.9.0-1_armhf.deb ...
Unpacking libblas-dev:armhf (3.9.0-1) ...
Selecting previously unselected package libc-ares2:armhf.
Preparing to unpack .../172-libc-ares2_1.15.0-1_armhf.deb ...
Unpacking libc-ares2:armhf (1.15.0-1) ...
Selecting previously unselected package libcommons-parent-java.
Preparing to unpack .../173-libcommons-parent-java_43-1_all.deb ...
Unpacking libcommons-parent-java (43-1) ...
Selecting previously unselected package libcommons-logging-java.
Preparing to unpack .../174-libcommons-logging-java_1.2-2_all.deb ...
Unpacking libcommons-logging-java (1.2-2) ...
Selecting previously unselected package libexpat1-dev:armhf.
Preparing to unpack .../175-libexpat1-dev_2.2.9-1_armhf.deb ...
Unpacking libexpat1-dev:armhf (2.2.9-1) ...
Selecting previously unselected package libfontbox-java.
Preparing to unpack .../176-libfontbox-java_1%3a1.8.16-2_all.deb ...
Unpacking libfontbox-java (1:1.8.16-2) ...
Selecting previously unselected package libgfortran5:armhf.
Preparing to unpack .../177-libgfortran5_10-20200324-1+rpi1_armhf.deb ...
Unpacking libgfortran5:armhf (10-20200324-1+rpi1) ...
Selecting previously unselected package libjs-d3.
Preparing to unpack .../178-libjs-d3_3.5.17-2_all.deb ...
Unpacking libjs-d3 (3.5.17-2) ...
Selecting previously unselected package libjs-jquery.
Preparing to unpack .../179-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 .../180-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 .../181-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 .../182-libjs-sphinxdoc_1.8.5-8_all.deb ...
Unpacking libjs-sphinxdoc (1.8.5-8) ...
Selecting previously unselected package liblapack3:armhf.
Preparing to unpack .../183-liblapack3_3.9.0-1_armhf.deb ...
Unpacking liblapack3:armhf (3.9.0-1) ...
Selecting previously unselected package liblbfgsb0:armhf.
Preparing to unpack .../184-liblbfgsb0_3.0+dfsg.3-7_armhf.deb ...
Unpacking liblbfgsb0:armhf (3.0+dfsg.3-7) ...
Selecting previously unselected package libnghttp2-14:armhf.
Preparing to unpack .../185-libnghttp2-14_1.40.0-1+b2_armhf.deb ...
Unpacking libnghttp2-14:armhf (1.40.0-1+b2) ...
Selecting previously unselected package libuv1:armhf.
Preparing to unpack .../186-libuv1_1.34.2-1_armhf.deb ...
Unpacking libuv1:armhf (1.34.2-1) ...
Selecting previously unselected package libnode64:armhf.
Preparing to unpack .../187-libnode64_10.19.0~dfsg-3_armhf.deb ...
Unpacking libnode64:armhf (10.19.0~dfsg-3) ...
Selecting previously unselected package libpdfbox-java.
Preparing to unpack .../188-libpdfbox-java_1%3a1.8.16-2_all.deb ...
Unpacking libpdfbox-java (1:1.8.16-2) ...
Selecting previously unselected package libpython3.8:armhf.
Preparing to unpack .../189-libpython3.8_3.8.2-1_armhf.deb ...
Unpacking libpython3.8:armhf (3.8.2-1) ...
Selecting previously unselected package libpython3.8-dev:armhf.
Preparing to unpack .../190-libpython3.8-dev_3.8.2-1_armhf.deb ...
Unpacking libpython3.8-dev:armhf (3.8.2-1) ...
Selecting previously unselected package libpython3-dev:armhf.
Preparing to unpack .../191-libpython3-dev_3.8.2-2_armhf.deb ...
Unpacking libpython3-dev:armhf (3.8.2-2) ...
Selecting previously unselected package libpython3.7-stdlib:armhf.
Preparing to unpack .../192-libpython3.7-stdlib_3.7.7-1_armhf.deb ...
Unpacking libpython3.7-stdlib:armhf (3.7.7-1) ...
Selecting previously unselected package nodejs.
Preparing to unpack .../193-nodejs_10.19.0~dfsg-3_armhf.deb ...
Unpacking nodejs (10.19.0~dfsg-3) ...
Selecting previously unselected package node-ansi-regex.
Preparing to unpack .../194-node-ansi-regex_5.0.0-1_all.deb ...
Unpacking node-ansi-regex (5.0.0-1) ...
Selecting previously unselected package node-color-name.
Preparing to unpack .../195-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 .../196-node-color-convert_1.9.3-1_all.deb ...
Unpacking node-color-convert (1.9.3-1) ...
Selecting previously unselected package node-ansi-styles.
Preparing to unpack .../197-node-ansi-styles_4.2.1-1_all.deb ...
Unpacking node-ansi-styles (4.2.1-1) ...
Selecting previously unselected package node-pend.
Preparing to unpack .../198-node-pend_1.2.0-3_all.deb ...
Unpacking node-pend (1.2.0-3) ...
Selecting previously unselected package node-browserify-lite.
Preparing to unpack .../199-node-browserify-lite_0.5.1-1_all.deb ...
Unpacking node-browserify-lite (0.5.1-1) ...
Selecting previously unselected package node-camelcase.
Preparing to unpack .../200-node-camelcase_5.3.1-1_all.deb ...
Unpacking node-camelcase (5.3.1-1) ...
Selecting previously unselected package node-clone.
Preparing to unpack .../201-node-clone_2.1.2-1_all.deb ...
Unpacking node-clone (2.1.2-1) ...
Selecting previously unselected package node-defaults.
Preparing to unpack .../202-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 .../203-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 .../204-node-strip-ansi_6.0.0-2_all.deb ...
Unpacking node-strip-ansi (6.0.0-2) ...
Selecting previously unselected package node-string-width.
Preparing to unpack .../205-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 .../206-node-wrap-ansi_4.0.0-2_all.deb ...
Unpacking node-wrap-ansi (4.0.0-2) ...
Selecting previously unselected package node-cliui.
Preparing to unpack .../207-node-cliui_4.1.0-2_all.deb ...
Unpacking node-cliui (4.1.0-2) ...
Selecting previously unselected package node-yallist.
Preparing to unpack .../208-node-yallist_4.0.0-1_all.deb ...
Unpacking node-yallist (4.0.0-1) ...
Selecting previously unselected package node-lru-cache.
Preparing to unpack .../209-node-lru-cache_5.1.1-5_all.deb ...
Unpacking node-lru-cache (5.1.1-5) ...
Selecting previously unselected package node-isexe.
Preparing to unpack .../210-node-isexe_2.0.0-4_all.deb ...
Unpacking node-isexe (2.0.0-4) ...
Selecting previously unselected package node-which.
Preparing to unpack .../211-node-which_2.0.2-1_all.deb ...
Unpacking node-which (2.0.2-1) ...
Selecting previously unselected package node-shebang-regex.
Preparing to unpack .../212-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 .../213-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 .../214-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 .../215-node-decamelize_1.2.0-1_all.deb ...
Unpacking node-decamelize (1.2.0-1) ...
Selecting previously unselected package node-wrappy.
Preparing to unpack .../216-node-wrappy_1.0.2-1_all.deb ...
Unpacking node-wrappy (1.0.2-1) ...
Selecting previously unselected package node-once.
Preparing to unpack .../217-node-once_1.4.0-3_all.deb ...
Unpacking node-once (1.4.0-3) ...
Selecting previously unselected package node-end-of-stream.
Preparing to unpack .../218-node-end-of-stream_1.4.4-1_all.deb ...
Unpacking node-end-of-stream (1.4.4-1) ...
Selecting previously unselected package node-pump.
Preparing to unpack .../219-node-pump_3.0.0-2_all.deb ...
Unpacking node-pump (3.0.0-2) ...
Selecting previously unselected package node-get-stream.
Preparing to unpack .../220-node-get-stream_4.1.0-1_all.deb ...
Unpacking node-get-stream (4.1.0-1) ...
Selecting previously unselected package node-is-stream.
Preparing to unpack .../221-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 .../222-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 .../223-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 .../224-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 .../225-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 .../226-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 .../227-node-p-limit_2.2.2-1_all.deb ...
Unpacking node-p-limit (2.2.2-1) ...
Selecting previously unselected package node-p-locate.
Preparing to unpack .../228-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 .../229-node-path-exists_4.0.0-2_all.deb ...
Unpacking node-path-exists (4.0.0-2) ...
Selecting previously unselected package node-locate-path.
Preparing to unpack .../230-node-locate-path_5.0.0-2_all.deb ...
Unpacking node-locate-path (5.0.0-2) ...
Selecting previously unselected package node-find-up.
Preparing to unpack .../231-node-find-up_4.1.0-2_all.deb ...
Unpacking node-find-up (4.1.0-2) ...
Selecting previously unselected package node-get-caller-file.
Preparing to unpack .../232-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 .../233-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 .../234-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 .../235-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 .../236-node-mimic-fn_3.0.0-1_all.deb ...
Unpacking node-mimic-fn (3.0.0-1) ...
Selecting previously unselected package node-mem.
Preparing to unpack .../237-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 .../238-node-os-locale_4.0.0-1_all.deb ...
Unpacking node-os-locale (4.0.0-1) ...
Selecting previously unselected package node-pegjs.
Preparing to unpack .../239-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 .../240-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 .../241-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 .../242-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 .../243-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 .../244-node-y18n_4.0.0-2_all.deb ...
Unpacking node-y18n (4.0.0-2) ...
Selecting previously unselected package node-yargs-parser.
Preparing to unpack .../245-node-yargs-parser_18.1.1-1_all.deb ...
Unpacking node-yargs-parser (18.1.1-1) ...
Selecting previously unselected package node-yargs.
Preparing to unpack .../246-node-yargs_15.3.0-1_all.deb ...
Unpacking node-yargs (15.3.0-1) ...
Selecting previously unselected package node-uglify.
Preparing to unpack .../247-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 .../248-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 .../249-python-babel-localedata_2.8.0+dfsg.1-2_all.deb ...
Unpacking python-babel-localedata (2.8.0+dfsg.1-2) ...
Selecting previously unselected package python3-alabaster.
Preparing to unpack .../250-python3-alabaster_0.7.8-1.1_all.deb ...
Unpacking python3-alabaster (0.7.8-1.1) ...
Selecting previously unselected package python3-tz.
Preparing to unpack .../251-python3-tz_2019.3-1_all.deb ...
Unpacking python3-tz (2019.3-1) ...
Selecting previously unselected package python3-babel.
Preparing to unpack .../252-python3-babel_2.8.0+dfsg.1-2_all.deb ...
Unpacking python3-babel (2.8.0+dfsg.1-2) ...
Selecting previously unselected package python3-certifi.
Preparing to unpack .../253-python3-certifi_2019.11.28-1_all.deb ...
Unpacking python3-certifi (2019.11.28-1) ...
Selecting previously unselected package python3-chardet.
Preparing to unpack .../254-python3-chardet_3.0.4-4_all.deb ...
Unpacking python3-chardet (3.0.4-4) ...
Selecting previously unselected package zlib1g-dev:armhf.
Preparing to unpack .../255-zlib1g-dev_1%3a1.2.11.dfsg-2_armhf.deb ...
Unpacking zlib1g-dev:armhf (1:1.2.11.dfsg-2) ...
Selecting previously unselected package python3.8-dev.
Preparing to unpack .../256-python3.8-dev_3.8.2-1_armhf.deb ...
Unpacking python3.8-dev (3.8.2-1) ...
Selecting previously unselected package python3-dev.
Preparing to unpack .../257-python3-dev_3.8.2-2_armhf.deb ...
Unpacking python3-dev (3.8.2-2) ...
Selecting previously unselected package python3-roman.
Preparing to unpack .../258-python3-roman_2.0.0-4_all.deb ...
Unpacking python3-roman (2.0.0-4) ...
Selecting previously unselected package python3-docutils.
Preparing to unpack .../259-python3-docutils_0.16+dfsg-2_all.deb ...
Unpacking python3-docutils (0.16+dfsg-2) ...
Selecting previously unselected package python3-idna.
Preparing to unpack .../260-python3-idna_2.8-1_all.deb ...
Unpacking python3-idna (2.8-1) ...
Selecting previously unselected package python3-imagesize.
Preparing to unpack .../261-python3-imagesize_1.2.0-2_all.deb ...
Unpacking python3-imagesize (1.2.0-2) ...
Selecting previously unselected package python3-ipykernel.
Preparing to unpack .../262-python3-ipykernel_5.2.0-1_all.deb ...
Unpacking python3-ipykernel (5.2.0-1) ...
Selecting previously unselected package python3-nose.
Preparing to unpack .../263-python3-nose_1.3.7-5_all.deb ...
Unpacking python3-nose (1.3.7-5) ...
Selecting previously unselected package python3.7.
Preparing to unpack .../264-python3.7_3.7.7-1_armhf.deb ...
Unpacking python3.7 (3.7.7-1) ...
Selecting previously unselected package python3-numpy.
Preparing to unpack .../265-python3-numpy_1%3a1.17.4-5+b1_armhf.deb ...
Unpacking python3-numpy (1:1.17.4-5+b1) ...
Selecting previously unselected package python3-pyparsing.
Preparing to unpack .../266-python3-pyparsing_2.4.6-1_all.deb ...
Unpacking python3-pyparsing (2.4.6-1) ...
Selecting previously unselected package python3-packaging.
Preparing to unpack .../267-python3-packaging_20.3-1_all.deb ...
Unpacking python3-packaging (20.3-1) ...
Selecting previously unselected package python3-parameterized.
Preparing to unpack .../268-python3-parameterized_0.7.0-2_all.deb ...
Unpacking python3-parameterized (0.7.0-2) ...
Selecting previously unselected package python3-pydot.
Preparing to unpack .../269-python3-pydot_1.4.1-3_all.deb ...
Unpacking python3-pydot (1.4.1-3) ...
Selecting previously unselected package python3-urllib3.
Preparing to unpack .../270-python3-urllib3_1.25.8-1_all.deb ...
Unpacking python3-urllib3 (1.25.8-1) ...
Selecting previously unselected package python3-requests.
Preparing to unpack .../271-python3-requests_2.22.0-2_all.deb ...
Unpacking python3-requests (2.22.0-2) ...
Selecting previously unselected package python3-scipy.
Preparing to unpack .../272-python3-scipy_1.3.3-3+b1_armhf.deb ...
Unpacking python3-scipy (1.3.3-3+b1) ...
Selecting previously unselected package sphinx-common.
Preparing to unpack .../273-sphinx-common_1.8.5-8_all.deb ...
Unpacking sphinx-common (1.8.5-8) ...
Selecting previously unselected package python3-sphinx.
Preparing to unpack .../274-python3-sphinx_1.8.5-8_all.deb ...
Unpacking python3-sphinx (1.8.5-8) ...
Selecting previously unselected package sphinx-rtd-theme-common.
Preparing to unpack .../275-sphinx-rtd-theme-common_0.4.3+dfsg-3_all.deb ...
Unpacking sphinx-rtd-theme-common (0.4.3+dfsg-3) ...
Selecting previously unselected package python3-sphinx-rtd-theme.
Preparing to unpack .../276-python3-sphinx-rtd-theme_0.4.3+dfsg-3_all.deb ...
Unpacking python3-sphinx-rtd-theme (0.4.3+dfsg-3) ...
Selecting previously unselected package rdfind.
Preparing to unpack .../277-rdfind_1.4.1-1+b1_armhf.deb ...
Unpacking rdfind (1.4.1-1+b1) ...
Selecting previously unselected package symlinks.
Preparing to unpack .../278-symlinks_1.4-4_armhf.deb ...
Unpacking symlinks (1.4-4) ...
Selecting previously unselected package texlive-fonts-recommended.
Preparing to unpack .../279-texlive-fonts-recommended_2019.20200302-1_all.deb ...
Unpacking texlive-fonts-recommended (2019.20200302-1) ...
Selecting previously unselected package texlive-latex-recommended.
Preparing to unpack .../280-texlive-latex-recommended_2019.20200302-1_all.deb ...
Unpacking texlive-latex-recommended (2019.20200302-1) ...
Selecting previously unselected package texlive-pictures.
Preparing to unpack .../281-texlive-pictures_2019.20200302-1_all.deb ...
Unpacking texlive-pictures (2019.20200302-1) ...
Selecting previously unselected package texlive-latex-extra.
Preparing to unpack .../282-texlive-latex-extra_2019.202000302-1_all.deb ...
Unpacking texlive-latex-extra (2019.202000302-1) ...
Selecting previously unselected package sbuild-build-depends-theano-dummy.
Preparing to unpack .../283-sbuild-build-depends-theano-dummy_0.invalid.0_armhf.deb ...
Unpacking sbuild-build-depends-theano-dummy (0.invalid.0) ...
Setting up libpipeline1:armhf (1.5.2-2) ...
Setting up libgraphite2-3:armhf (1.3.13-11) ...
Setting up liblcms2-2:armhf (2.9-4) ...
Setting up libpixman-1-0:armhf (0.36.0-1) ...
Setting up symlinks (1.4-4) ...
Setting up libxau6:armhf (1:1.0.8-1+b2) ...
Setting up libkeyutils1:armhf (1.6.1-2) ...
Setting up fonts-lato (2.0-2) ...
Setting up libsodium23:armhf (1.0.18-1) ...
Setting up mime-support (3.64) ...
Setting up libdatrie1:armhf (0.2.12-3+b1) ...
Setting up libmagic-mgc (1:5.38-4) ...
Setting up libtexlua53:armhf (2019.20190605.51237-3) ...
Setting up libarchive-zip-perl (1.68-1) ...
Setting up libglib2.0-0:armhf (2.64.1-1) ...
No schema files found: doing nothing.
Setting up libijs-0.35:armhf (0.35-15) ...
Setting up libtexluajit2:armhf (2019.20190605.51237-3) ...
Setting up libdebhelper-perl (12.10) ...
Setting up libfontbox-java (1:1.8.16-2) ...
Setting up rdfind (1.4.1-1+b1) ...
Setting up liblab-gamut1:armhf (2.42.2-3+b2) ...
Setting up libnorm1:armhf (1.5.8+dfsg2-2) ...
Setting up x11-common (1:7.7+20) ...
update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults
invoke-rc.d: could not determine current runlevel
All runlevel operations denied by policy
invoke-rc.d: policy-rc.d denied execution of start.
Setting up libnghttp2-14:armhf (1.40.0-1+b2) ...
Setting up libmagic1:armhf (1:5.38-4) ...
Setting up gettext-base (0.19.8.1-10) ...
Setting up libzzip-0-13:armhf (0.13.62-3.2) ...
Setting up libc-ares2:armhf (1.15.0-1) ...
Setting up file (1:5.38-4) ...
Setting up fonts-urw-base35 (20170801.1-3) ...
Setting up libpython3.7-minimal:armhf (3.7.7-1) ...
Setting up libjs-modernizr (2.6.2+ds1-3) ...
Setting up libjbig0:armhf (2.1-3.1+b2) ...
Setting up libicu63:armhf (63.2-3) ...
Setting up python-babel-localedata (2.8.0+dfsg.1-2) ...
Setting up poppler-data (0.4.9-2) ...
Setting up libkrb5support0:armhf (1.17-7) ...
Setting up libgts-0.7-5:armhf (0.7.6+darcs121130-4) ...
Setting up autotools-dev (20180224.1) ...
Setting up libblas3:armhf (3.9.0-1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode
Setting up libuv1:armhf (1.34.2-1) ...
Setting up libexpat1-dev:armhf (2.2.9-1) ...
Setting up libjpeg62-turbo:armhf (1:1.5.2-2+b1) ...
Setting up libx11-data (2:1.6.9-2) ...
Setting up libjbig2dec0:armhf (0.18-1) ...
Setting up libidn11:armhf (1.33-2.2) ...
Setting up libteckit0:armhf (2.5.8+ds2-5) ...
Setting up libpathplan4:armhf (2.42.2-3+b2) ...
Setting up libapache-pom-java (18-1) ...
Setting up libavahi-common-data:armhf (0.7-5) ...
Setting up libdbus-1-3:armhf (1.12.16-2+b1) ...
Setting up libsigsegv2:armhf (2.12-2) ...
Setting up libfribidi0:armhf (1.0.8-2) ...
Setting up t1utils (1.41-3) ...
Setting up libjs-d3 (3.5.17-2) ...
Setting up libpng16-16:armhf (1.6.37-2) ...
Setting up libnode64:armhf (10.19.0~dfsg-3) ...
Setting up autopoint (0.19.8.1-10) ...
Setting up libwebp6:armhf (0.6.1-2) ...
Setting up fonts-dejavu-core (2.37-1) ...
Setting up libk5crypto3:armhf (1.17-7) ...
Setting up libltdl7:armhf (2.4.6-14) ...
Setting up python3.7-minimal (3.7.7-1) ...
Setting up libkpathsea6:armhf (2019.20190605.51237-3) ...
Setting up libgfortran5:armhf (10-20200324-1+rpi1) ...
Setting up zlib1g-dev:armhf (1:1.2.11.dfsg-2) ...
Setting up sensible-utils (0.0.12+nmu1) ...
Setting up libuchardet0:armhf (0.0.6-3) ...
Setting up fonts-lmodern (2.004.5-6) ...
Setting up libopenjp2-7:armhf (2.3.1-1) ...
Setting up libsub-override-perl (0.09-2) ...
Setting up libthai-data (0.1.28-3) ...
Setting up sgml-base (1.29.1) ...
Setting up libcdt5:armhf (2.42.2-3+b2) ...
Setting up libkrb5-3:armhf (1.17-7) ...
Setting up libcgraph6:armhf (2.42.2-3+b2) ...
Setting up libtiff5:armhf (4.1.0+git191117-2) ...
Setting up libmpdec2:armhf (2.4.2-3) ...
Setting up libjs-jquery (3.3.1~dfsg-3) ...
Setting up libpython3.8-stdlib:armhf (3.8.2-1) ...
Setting up python3.8 (3.8.2-1) ...
Setting up openssl (1.1.1d-2) ...
Setting up libbsd0:armhf (0.10.0-1) ...
Setting up libtinfo5:armhf (6.2-1) ...
Setting up libelf1:armhf (0.176-1.1) ...
Setting up libxml2:armhf (2.9.10+dfsg-4) ...
Setting up fonts-font-awesome (5.0.10+really4.7.0~dfsg-1) ...
Setting up sphinx-rtd-theme-common (0.4.3+dfsg-3) ...
Setting up xdg-utils (1.1.3-2) ...
Setting up libblas-dev:armhf (3.9.0-1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so to provide /usr/lib/arm-linux-gnueabihf/libblas.so (libblas.so-arm-linux-gnueabihf) in auto mode
Setting up libsynctex2:armhf (2019.20190605.51237-3) ...
Setting up libpython3-stdlib:armhf (3.8.2-2) ...
Setting up libpgm-5.2-0:armhf (5.2.122~dfsg-3) ...
Setting up libjs-underscore (1.9.1~dfsg-1) ...
Setting up libgs9-common (9.52~dfsg-1) ...
Setting up libfile-stripnondeterminism-perl (1.6.3-2) ...
Setting up libice6:armhf (2:1.0.9-2) ...
Setting up libxdmcp6:armhf (1:1.1.2-3) ...
Setting up libpython3.7-stdlib:armhf (3.7.7-1) ...
Setting up liblapack3:armhf (3.9.0-1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/lapack/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode
Setting up libxcb1:armhf (1.14-2) ...
Setting up libpdfbox-java (1:1.8.16-2) ...
Setting up libtool (2.4.6-14) ...
Setting up libxcb-render0:armhf (1.14-2) ...
Setting up libcommons-parent-java (43-1) ...
Setting up libavahi-common3:armhf (0.7-5) ...
Setting up libcommons-logging-java (1.2-2) ...
Setting up m4 (1.4.18-4) ...
Setting up python3 (3.8.2-2) ...
Setting up libxcb-shm0:armhf (1.14-2) ...
Setting up python3-pandocfilters (1.4.2-2) ...
Setting up nodejs (10.19.0~dfsg-3) ...
update-alternatives: using /usr/bin/nodejs to provide /usr/bin/js (js) in auto mode
Setting up python3-markupsafe (1.1.1-1) ...
Setting up python3-webencodings (0.5.1-1) ...
Setting up python3-tz (2019.3-1) ...
Setting up node-clone (2.1.2-1) ...
Setting up python3-six (1.14.0-2) ...
Setting up libthai0:armhf (0.1.28-3) ...
Setting up ca-certificates (20190110) ...
Updating certificates in /etc/ssl/certs...
128 added, 0 removed; done.
Setting up python3-roman (2.0.0-4) ...
Setting up python3-decorator (4.4.2-1) ...
Setting up python3-jinja2 (2.10.1-2) ...
Setting up python3-pygments (2.3.1+dfsg-1) ...
Setting up libptexenc1:armhf (2019.20190605.51237-3) ...
Setting up python3-wcwidth (0.1.8+dfsg1-3) ...
Setting up python3-pyparsing (2.4.6-1) ...
Setting up node-y18n (4.0.0-2) ...
Setting up libfreetype6:armhf (2.10.1-2) ...
Setting up node-shebang-regex (2.0.0-1) ...
Setting up python3-certifi (2019.11.28-1) ...
Setting up python3-testpath (0.4.4+dfsg-1) ...
Setting up libpython3.8:armhf (3.8.2-1) ...
Setting up node-is-stream (1.1.0-1) ...
Setting up node-p-finally (1.0.0-2) ...
Setting up bsdmainutils (11.1.2) ...
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:armhf (1.17-7) ...
Setting up python3-idna (2.8-1) ...
Setting up node-pend (1.2.0-3) ...
Setting up cython3 (0.29.14-0.1+b1) ...
Setting up libcroco3:armhf (0.6.13-1) ...
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 python3-html5lib (1.0.1-2) ...
Setting up node-wrappy (1.0.2-1) ...
Setting up libjs-sphinxdoc (1.8.5-8) ...
Setting up python3-pickleshare (0.7.5-1) ...
Setting up autoconf (2.69-11.1) ...
Setting up node-require-directory (2.1.1-1) ...
Setting up python3-urllib3 (1.25.8-1) ...
Setting up dh-strip-nondeterminism (1.6.3-2) ...
Setting up node-defaults (1.0.3-1) ...
Setting up libgvpr2:armhf (2.42.2-3+b2) ...
Setting up python3-pyrsistent:armhf (0.15.5-1+b1) ...
Setting up dwz (0.13-5) ...
Setting up groff-base (1.22.4-4) ...
Setting up xml-core (0.18+nmu1) ...
Setting up node-mimic-fn (3.0.0-1) ...
Setting up libx11-6:armhf (2:1.6.9-2) ...
Setting up libharfbuzz0b:armhf (2.6.4-1+rpi1) ...
Setting up python3-dateutil (2.7.3-3) ...
Setting up python3-lib2to3 (3.8.2-2) ...
Setting up libsm6:armhf (2:1.2.3-1) ...
Setting up python3-mistune (0.8.4-2) ...
Setting up node-npm-run-path (2.0.2-2) ...
Setting up libavahi-client3:armhf (0.7-5) ...
Setting up node-shebang-command (1.2.0-1) ...
Setting up liblbfgsb0:armhf (3.0+dfsg.3-7) ...
Setting up python3-imagesize (1.2.0-2) ...
Setting up python3-ptyprocess (0.6.0-1) ...
Setting up node-strip-eof (1.0.0-2) ...
Setting up python3-pkg-resources (44.0.0-1) ...
Setting up python3-entrypoints (0.3-2) ...
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 python3-prompt-toolkit (2.0.10-2) ...
Setting up python3-distutils (3.8.2-2) ...
Setting up dh-python (4.20200315) ...
Setting up python3-attr (19.3.0-2) ...
Setting up python3-tornado (6.0.3+really5.1.1-3) ...
Setting up libpaper1:armhf (1.1.28) ...
Creating config file /etc/papersize with new version
Setting up python3.7 (3.7.7-1) ...
Setting up node-browserify-lite (0.5.1-1) ...
Setting up node-mem (1.1.0-1) ...
Setting up gettext (0.19.8.1-10) ...
Setting up libharfbuzz-icu0:armhf (2.6.4-1+rpi1) ...
Setting up node-invert-kv (1.0.0-1) ...
Setting up python3-parameterized (0.7.0-2) ...
Setting up node-p-limit (2.2.2-1) ...
Setting up node-yallist (4.0.0-1) ...
Setting up libzmq5:armhf (4.3.2-2) ...
Setting up python3-setuptools (44.0.0-1) ...
Setting up node-ansi-regex (5.0.0-1) ...
Setting up libxpm4:armhf (1:3.5.12-1) ...
Setting up node-once (1.4.0-3) ...
Setting up libxrender1:armhf (1:0.9.10-1) ...
Setting up python3-backcall (0.1.0-2) ...
Setting up python3-parso (0.6.2-1) ...
Setting up python3-babel (2.8.0+dfsg.1-2) ...
update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode
Setting up node-get-caller-file (1.0.2-1) ...
Setting up node-require-main-filename (1.0.1-1) ...
Setting up python3-defusedxml (0.6.0-2) ...
Setting up python3-ipython-genutils (0.2.0-2) ...
Setting up fontconfig-config (2.13.1-2) ...
Setting up python3-alabaster (0.7.8-1.1) ...
Setting up node-isexe (2.0.0-4) ...
Setting up node-path-exists (4.0.0-2) ...
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:armhf (2:1.3.3-1+b2) ...
Setting up node-color-name (1.1.3-1) ...
Setting up node-lodash-compat (3.10.2-1) ...
Setting up node-camelcase (5.3.1-1) ...
Setting up libpaper-utils (1.1.28) ...
Setting up man-db (2.9.1-1) ...
Not building database; man-db/auto-update is not 'true'.
Setting up python3-nose (1.3.7-5) ...
Setting up node-yargs-parser (18.1.1-1) ...
Setting up intltool-debian (0.35.0+20060710.5) ...
Setting up python3-bleach (3.1.4-1) ...
Setting up node-wcwidth.js (1.0.0-1) ...
Setting up tex-common (6.13) ...
update-language: texlive-base not installed and configured, doing nothing!
Setting up node-locate-path (5.0.0-2) ...
Setting up python3-packaging (20.3-1) ...
Setting up python3-chardet (3.0.4-4) ...
Setting up libpython3.8-dev:armhf (3.8.2-1) ...
Setting up python3-jsonschema (3.0.2-4) ...
Setting up python3-pexpect (4.6.0-1) ...
Setting up python3-zmq (18.1.1-3) ...
Setting up sphinx-common (1.8.5-8) ...
Setting up python3-requests (2.22.0-2) ...
Setting up node-strip-ansi (6.0.0-2) ...
Setting up node-which (2.0.2-1) ...
Setting up libxt6:armhf (1:1.1.5-1+b3) ...
Setting up node-lcid (1.0.0-1) ...
Setting up python3-numpy (1:1.17.4-5+b1) ...
Setting up python3.8-dev (3.8.2-1) ...
Setting up libcups2:armhf (2.3.1-11) ...
Setting up python3-traitlets (4.3.3-2) ...
Setting up libfontconfig1:armhf (2.13.1-2) ...
Setting up node-color-convert (1.9.3-1) ...
Setting up python3-jupyter-core (4.6.3-3) ...
Setting up node-string-width (2.1.1-1) ...
Setting up fontconfig (2.13.1-2) ...
Regenerating fonts cache... done.
Setting up node-lru-cache (5.1.1-5) ...
Setting up libxmu6:armhf (2:1.1.2-2+b3) ...
Setting up python3-scipy (1.3.3-3+b1) ...
Setting up libpython3-dev:armhf (3.8.2-2) ...
Setting up node-end-of-stream (1.4.4-1) ...
Setting up libgs9:armhf (9.52~dfsg-1) ...
Setting up libxi6:armhf (2:1.7.9-1) ...
Setting up node-pump (3.0.0-2) ...
Setting up python3-jedi (0.16.0-1) ...
Setting up po-debconf (1.0.21) ...
Setting up preview-latex-style (11.91-2) ...
Setting up libpango-1.0-0:armhf (1.42.4-8) ...
Setting up node-find-up (4.1.0-2) ...
Setting up python3-nbformat (5.0.5-1) ...
Setting up libxaw7:armhf (2:1.0.13-1+b2) ...
Setting up ghostscript (9.52~dfsg-1) ...
Setting up libcairo2:armhf (1.16.0-4) ...
Setting up node-cross-spawn (5.1.0-2) ...
Setting up node-ansi-styles (4.2.1-1) ...
Setting up python3-ipython (7.13.0-1) ...
Setting up python3-dev (3.8.2-2) ...
Setting up node-get-stream (4.1.0-1) ...
Setting up libgd3:armhf (2.2.5-5.2) ...
Setting up texlive-binaries (2019.20190605.51237-3) ...
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 (6.1.2-1) ...
Setting up libpangoft2-1.0-0:armhf (1.42.4-8) ...
Setting up texlive-base (2019.20200302-1) ...
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 libpangocairo-1.0-0:armhf (1.42.4-8) ...
Setting up node-execa (0.10.0+dfsg-1) ...
Setting up dvipng (1.15-1.1+b2) ...
Setting up node-os-locale (4.0.0-1) ...
Setting up node-wrap-ansi (4.0.0-2) ...
Setting up texlive-latex-base (2019.20200302-1) ...
Setting up texlive-latex-recommended (2019.20200302-1) ...
Setting up python3-ipykernel (5.2.0-1) ...
Setting up libgvc6 (2.42.2-3+b2) ...
Setting up texlive-pictures (2019.20200302-1) ...
Setting up python3-nbconvert (5.6.1-1) ...
Setting up texlive-fonts-recommended (2019.20200302-1) ...
Setting up node-cliui (4.1.0-2) ...
Setting up graphviz (2.42.2-3+b2) ...
Setting up node-yargs (15.3.0-1) ...
Setting up python3-pydot (1.4.1-3) ...
Setting up latexmk (1:4.69-0.1) ...
Setting up texlive-latex-extra (2019.202000302-1) ...
Setting up jupyter-nbconvert (5.6.1-1) ...
Setting up node-uglify (2.8.29-6) ...
Setting up dh-autoreconf (19) ...
Setting up debhelper (12.10) ...
Processing triggers for libc-bin (2.30-4+rpi1) ...
Processing triggers for sgml-base (1.29.1) ...
Setting up docutils-common (0.16+dfsg-2) ...
Processing triggers for sgml-base (1.29.1) ...
Setting up python3-docutils (0.16+dfsg-2) ...
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 (1.8.5-8) ...
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-3) ...
Setting up sbuild-build-depends-theano-dummy (0.invalid.0) ...
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 (6.13) ...
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.
+------------------------------------------------------------------------------+
| Build environment |
+------------------------------------------------------------------------------+
Kernel: Linux 4.19.20-v7+ armhf (armv7l)
Toolchain package versions: binutils_2.34-5+rpi1 dpkg-dev_1.19.7 g++-9_9.3.0-8+rpi1 gcc-9_9.3.0-8+rpi1 libc6-dev_2.30-4+rpi1 libstdc++-9-dev_9.3.0-8+rpi1 libstdc++6_10-20200324-1+rpi1 linux-libc-dev_5.2.17-1+rpi1+b2
Package versions: adduser_3.118 apt_2.0.1 autoconf_2.69-11.1 automake_1:1.16.1-4 autopoint_0.19.8.1-10 autotools-dev_20180224.1 base-files_11+rpi1 base-passwd_3.5.47 bash_5.0-6 binutils_2.34-5+rpi1 binutils-arm-linux-gnueabihf_2.34-5+rpi1 binutils-common_2.34-5+rpi1 bsdmainutils_11.1.2 bsdutils_1:2.34-0.1 build-essential_12.8 bzip2_1.0.8-2 ca-certificates_20190110 coreutils_8.30-3 cpp_4:9.2.1-3.1+rpi1 cpp-9_9.3.0-8+rpi1 cython3_0.29.14-0.1+b1 dash_0.5.10.2-7 debconf_1.5.73 debhelper_12.10 debianutils_4.9.1 dh-autoreconf_19 dh-python_4.20200315 dh-strip-nondeterminism_1.6.3-2 diffutils_1:3.7-3 dirmngr_2.2.20-1 docutils-common_0.16+dfsg-2 dpkg_1.19.7 dpkg-dev_1.19.7 dvipng_1.15-1.1+b2 dwz_0.13-5 e2fsprogs_1.45.6-1 fakeroot_1.24-1 fdisk_2.34-0.1 file_1:5.38-4 findutils_4.7.0-1 fontconfig_2.13.1-2 fontconfig-config_2.13.1-2 fonts-dejavu-core_2.37-1 fonts-font-awesome_5.0.10+really4.7.0~dfsg-1 fonts-lato_2.0-2 fonts-lmodern_2.004.5-6 fonts-urw-base35_20170801.1-3 g++_4:9.2.1-3.1+rpi1 g++-9_9.3.0-8+rpi1 gcc_4:9.2.1-3.1+rpi1 gcc-10-base_10-20200324-1+rpi1 gcc-9_9.3.0-8+rpi1 gcc-9-base_9.3.0-8+rpi1 gettext_0.19.8.1-10 gettext-base_0.19.8.1-10 ghostscript_9.52~dfsg-1 gnupg_2.2.20-1 gnupg-l10n_2.2.20-1 gnupg-utils_2.2.20-1 gpg_2.2.20-1 gpg-agent_2.2.20-1 gpg-wks-client_2.2.20-1 gpg-wks-server_2.2.20-1 gpgconf_2.2.20-1 gpgsm_2.2.20-1 gpgv_2.2.20-1 graphviz_2.42.2-3+b2 grep_3.4-1 groff-base_1.22.4-4 gzip_1.10-2 hostname_3.23 init-system-helpers_1.57 intltool-debian_0.35.0+20060710.5 iputils-ping_3:20190709-3 jupyter-nbconvert_5.6.1-1 latexmk_1:4.69-0.1 libacl1_2.2.53-6 libapache-pom-java_18-1 libapt-pkg6.0_2.0.1 libarchive-zip-perl_1.68-1 libasan5_9.3.0-8+rpi1 libassuan0_2.5.3-7 libatomic1_10-20200324-1+rpi1 libattr1_1:2.4.48-5 libaudit-common_1:2.8.5-3 libaudit1_1:2.8.5-3 libavahi-client3_0.7-5 libavahi-common-data_0.7-5 libavahi-common3_0.7-5 libbinutils_2.34-5+rpi1 libblas-dev_3.9.0-1 libblas3_3.9.0-1 libblkid1_2.34-0.1 libbsd0_0.10.0-1 libbz2-1.0_1.0.8-2 libc-ares2_1.15.0-1 libc-bin_2.30-4+rpi1 libc-dev-bin_2.30-4+rpi1 libc6_2.30-4+rpi1 libc6-dev_2.30-4+rpi1 libcairo2_1.16.0-4 libcap-ng0_0.7.9-2.1+b1 libcap2_1:2.33-1 libcap2-bin_1:2.33-1 libcc1-0_10-20200324-1+rpi1 libcdt5_2.42.2-3+b2 libcgraph6_2.42.2-3+b2 libcom-err2_1.45.6-1 libcommons-logging-java_1.2-2 libcommons-parent-java_43-1 libcroco3_0.6.13-1 libcrypt-dev_1:4.4.15-1 libcrypt1_1:4.4.15-1 libctf-nobfd0_2.34-5+rpi1 libctf0_2.34-5+rpi1 libcups2_2.3.1-11 libdatrie1_0.2.12-3+b1 libdb5.3_5.3.28+dfsg1-0.6 libdbus-1-3_1.12.16-2+b1 libdebconfclient0_0.251 libdebhelper-perl_12.10 libdpkg-perl_1.19.7 libelf1_0.176-1.1 libexpat1_2.2.9-1 libexpat1-dev_2.2.9-1 libext2fs2_1.45.6-1 libfakeroot_1.24-1 libfdisk1_2.34-0.1 libffi7_3.3-4 libfile-stripnondeterminism-perl_1.6.3-2 libfontbox-java_1:1.8.16-2 libfontconfig1_2.13.1-2 libfreetype6_2.10.1-2 libfribidi0_1.0.8-2 libgcc-9-dev_9.3.0-8+rpi1 libgcc-s1_10-20200324-1+rpi1 libgcc1_1:10-20200324-1+rpi1 libgcrypt20_1.8.5-5 libgd3_2.2.5-5.2 libgdbm-compat4_1.18.1-5 libgdbm6_1.18.1-5 libgfortran5_10-20200324-1+rpi1 libglib2.0-0_2.64.1-1 libgmp10_2:6.2.0+dfsg-4 libgnutls30_3.6.12-2 libgomp1_10-20200324-1+rpi1 libgpg-error0_1.37-1 libgraphite2-3_1.3.13-11 libgs9_9.52~dfsg-1 libgs9-common_9.52~dfsg-1 libgssapi-krb5-2_1.17-7 libgts-0.7-5_0.7.6+darcs121130-4 libgvc6_2.42.2-3+b2 libgvpr2_2.42.2-3+b2 libharfbuzz-icu0_2.6.4-1+rpi1 libharfbuzz0b_2.6.4-1+rpi1 libhogweed5_3.5.1+really3.5.1-2 libice6_2:1.0.9-2 libicu63_63.2-3 libidn11_1.33-2.2 libidn2-0_2.3.0-1 libijs-0.35_0.35-15 libisl22_0.22.1-1 libjbig0_2.1-3.1+b2 libjbig2dec0_0.18-1 libjpeg62-turbo_1:1.5.2-2+b1 libjs-d3_3.5.17-2 libjs-jquery_3.3.1~dfsg-3 libjs-modernizr_2.6.2+ds1-3 libjs-sphinxdoc_1.8.5-8 libjs-underscore_1.9.1~dfsg-1 libk5crypto3_1.17-7 libkeyutils1_1.6.1-2 libkpathsea6_2019.20190605.51237-3 libkrb5-3_1.17-7 libkrb5support0_1.17-7 libksba8_1.3.5-2 liblab-gamut1_2.42.2-3+b2 liblapack3_3.9.0-1 liblbfgsb0_3.0+dfsg.3-7 liblcms2-2_2.9-4 libldap-2.4-2_2.4.49+dfsg-2 libldap-common_2.4.49+dfsg-2 libltdl7_2.4.6-14 liblz4-1_1.9.2-2 liblzma5_5.2.4-1 libmagic-mgc_1:5.38-4 libmagic1_1:5.38-4 libmount1_2.34-0.1 libmpc3_1.1.0-1 libmpdec2_2.4.2-3 libmpfr6_4.0.2-1 libncursesw6_6.2-1 libnettle7_3.5.1+really3.5.1-2 libnghttp2-14_1.40.0-1+b2 libnode64_10.19.0~dfsg-3 libnorm1_1.5.8+dfsg2-2 libnpth0_1.6-1 libopenjp2-7_2.3.1-1 libp11-kit0_0.23.20-1 libpam-cap_1:2.33-1 libpam-modules_1.3.1-5 libpam-modules-bin_1.3.1-5 libpam-runtime_1.3.1-5 libpam0g_1.3.1-5 libpango-1.0-0_1.42.4-8 libpangocairo-1.0-0_1.42.4-8 libpangoft2-1.0-0_1.42.4-8 libpaper-utils_1.1.28 libpaper1_1.1.28 libpathplan4_2.42.2-3+b2 libpcre2-8-0_10.34-7 libpcre3_2:8.39-12 libpdfbox-java_1:1.8.16-2 libperl5.28_5.28.1-6 libperl5.30_5.30.0-9 libpgm-5.2-0_5.2.122~dfsg-3 libpipeline1_1.5.2-2 libpixman-1-0_0.36.0-1 libpng16-16_1.6.37-2 libptexenc1_2019.20190605.51237-3 libpython3-dev_3.8.2-2 libpython3-stdlib_3.8.2-2 libpython3.7-minimal_3.7.7-1 libpython3.7-stdlib_3.7.7-1 libpython3.8_3.8.2-1 libpython3.8-dev_3.8.2-1 libpython3.8-minimal_3.8.2-1 libpython3.8-stdlib_3.8.2-1 libreadline7_7.0-5 libreadline8_8.0-4 libsasl2-2_2.1.27+dfsg-2 libsasl2-modules-db_2.1.27+dfsg-2 libseccomp2_2.4.3-1+rpi1 libselinux1_3.0-1+b1 libsemanage-common_3.0-1 libsemanage1_3.0-1+b1 libsepol1_3.0-1 libsigsegv2_2.12-2 libsm6_2:1.2.3-1 libsmartcols1_2.34-0.1 libsodium23_1.0.18-1 libsqlite3-0_3.31.1-4 libss2_1.45.6-1 libssl1.1_1.1.1d-2 libstdc++-9-dev_9.3.0-8+rpi1 libstdc++6_10-20200324-1+rpi1 libsub-override-perl_0.09-2 libsynctex2_2019.20190605.51237-3 libsystemd0_244.3-1+rpi1 libtasn1-6_4.16.0-2 libteckit0_2.5.8+ds2-5 libtexlua53_2019.20190605.51237-3 libtexluajit2_2019.20190605.51237-3 libthai-data_0.1.28-3 libthai0_0.1.28-3 libtiff5_4.1.0+git191117-2 libtinfo5_6.2-1 libtinfo6_6.2-1 libtool_2.4.6-14 libubsan1_10-20200324-1+rpi1 libuchardet0_0.0.6-3 libudev1_244.3-1+rpi1 libunistring2_0.9.10-2 libuuid1_2.34-0.1 libuv1_1.34.2-1 libwebp6_0.6.1-2 libx11-6_2:1.6.9-2 libx11-data_2:1.6.9-2 libxau6_1:1.0.8-1+b2 libxaw7_2:1.0.13-1+b2 libxcb-render0_1.14-2 libxcb-shm0_1.14-2 libxcb1_1.14-2 libxdmcp6_1:1.1.2-3 libxext6_2:1.3.3-1+b2 libxi6_2:1.7.9-1 libxml2_2.9.10+dfsg-4 libxmu6_2:1.1.2-2+b3 libxpm4_1:3.5.12-1 libxrender1_1:0.9.10-1 libxt6_1:1.1.5-1+b3 libzmq5_4.3.2-2 libzstd1_1.4.4+dfsg-3+rpi1 libzzip-0-13_0.13.62-3.2 linux-libc-dev_5.2.17-1+rpi1+b2 login_1:4.8.1-1 logsave_1.45.6-1 lsb-base_11.1.0+rpi1 m4_1.4.18-4 make_4.2.1-1.2 man-db_2.9.1-1 mawk_1.3.4.20200120-2 mime-support_3.64 mount_2.34-0.1 ncurses-base_6.2-1 ncurses-bin_6.2-1 node-ansi-regex_5.0.0-1 node-ansi-styles_4.2.1-1 node-browserify-lite_0.5.1-1 node-camelcase_5.3.1-1 node-cliui_4.1.0-2 node-clone_2.1.2-1 node-color-convert_1.9.3-1 node-color-name_1.1.3-1 node-cross-spawn_5.1.0-2 node-decamelize_1.2.0-1 node-defaults_1.0.3-1 node-end-of-stream_1.4.4-1 node-execa_0.10.0+dfsg-1 node-find-up_4.1.0-2 node-get-caller-file_1.0.2-1 node-get-stream_4.1.0-1 node-invert-kv_1.0.0-1 node-is-stream_1.1.0-1 node-isexe_2.0.0-4 node-lcid_1.0.0-1 node-locate-path_5.0.0-2 node-lodash-compat_3.10.2-1 node-lru-cache_5.1.1-5 node-mem_1.1.0-1 node-mimic-fn_3.0.0-1 node-npm-run-path_2.0.2-2 node-once_1.4.0-3 node-os-locale_4.0.0-1 node-p-finally_1.0.0-2 node-p-limit_2.2.2-1 node-p-locate_2.0.0-1 node-path-exists_4.0.0-2 node-pegjs_0.7.0-2 node-pend_1.2.0-3 node-pump_3.0.0-2 node-require-directory_2.1.1-1 node-require-main-filename_1.0.1-1 node-set-blocking_2.0.0-1 node-shebang-command_1.2.0-1 node-shebang-regex_2.0.0-1 node-signal-exit_3.0.2-1 node-string-width_2.1.1-1 node-strip-ansi_6.0.0-2 node-strip-eof_1.0.0-2 node-uglify_2.8.29-6 node-wcwidth.js_1.0.0-1 node-which_2.0.2-1 node-which-module_2.0.0-1 node-wrap-ansi_4.0.0-2 node-wrappy_1.0.2-1 node-y18n_4.0.0-2 node-yallist_4.0.0-1 node-yargs_15.3.0-1 node-yargs-parser_18.1.1-1 nodejs_10.19.0~dfsg-3 openssl_1.1.1d-2 passwd_1:4.8.1-1 patch_2.7.6-6 perl_5.30.0-9 perl-base_5.30.0-9 perl-modules-5.28_5.28.1-6 perl-modules-5.30_5.30.0-9 pinentry-curses_1.1.0-3 po-debconf_1.0.21 poppler-data_0.4.9-2 preview-latex-style_11.91-2 python-babel-localedata_2.8.0+dfsg.1-2 python3_3.8.2-2 python3-alabaster_0.7.8-1.1 python3-attr_19.3.0-2 python3-babel_2.8.0+dfsg.1-2 python3-backcall_0.1.0-2 python3-bleach_3.1.4-1 python3-certifi_2019.11.28-1 python3-chardet_3.0.4-4 python3-dateutil_2.7.3-3 python3-decorator_4.4.2-1 python3-defusedxml_0.6.0-2 python3-dev_3.8.2-2 python3-distutils_3.8.2-2 python3-docutils_0.16+dfsg-2 python3-entrypoints_0.3-2 python3-html5lib_1.0.1-2 python3-idna_2.8-1 python3-imagesize_1.2.0-2 python3-ipykernel_5.2.0-1 python3-ipython_7.13.0-1 python3-ipython-genutils_0.2.0-2 python3-jedi_0.16.0-1 python3-jinja2_2.10.1-2 python3-jsonschema_3.0.2-4 python3-jupyter-client_6.1.2-1 python3-jupyter-core_4.6.3-3 python3-lib2to3_3.8.2-2 python3-markupsafe_1.1.1-1 python3-minimal_3.8.2-2 python3-mistune_0.8.4-2 python3-nbconvert_5.6.1-1 python3-nbformat_5.0.5-1 python3-nose_1.3.7-5 python3-numpy_1:1.17.4-5+b1 python3-packaging_20.3-1 python3-pandocfilters_1.4.2-2 python3-parameterized_0.7.0-2 python3-parso_0.6.2-1 python3-pexpect_4.6.0-1 python3-pickleshare_0.7.5-1 python3-pkg-resources_44.0.0-1 python3-prompt-toolkit_2.0.10-2 python3-ptyprocess_0.6.0-1 python3-pydot_1.4.1-3 python3-pygments_2.3.1+dfsg-1 python3-pyparsing_2.4.6-1 python3-pyrsistent_0.15.5-1+b1 python3-requests_2.22.0-2 python3-roman_2.0.0-4 python3-scipy_1.3.3-3+b1 python3-setuptools_44.0.0-1 python3-six_1.14.0-2 python3-sphinx_1.8.5-8 python3-sphinx-rtd-theme_0.4.3+dfsg-3 python3-testpath_0.4.4+dfsg-1 python3-tornado_6.0.3+really5.1.1-3 python3-traitlets_4.3.3-2 python3-tz_2019.3-1 python3-urllib3_1.25.8-1 python3-wcwidth_0.1.8+dfsg1-3 python3-webencodings_0.5.1-1 python3-zmq_18.1.1-3 python3.7_3.7.7-1 python3.7-minimal_3.7.7-1 python3.8_3.8.2-1 python3.8-dev_3.8.2-1 python3.8-minimal_3.8.2-1 raspbian-archive-keyring_20120528.2 rdfind_1.4.1-1+b1 readline-common_8.0-4 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-theano-dummy_0.invalid.0 sed_4.7-1 sensible-utils_0.0.12+nmu1 sgml-base_1.29.1 sphinx-common_1.8.5-8 sphinx-rtd-theme-common_0.4.3+dfsg-3 symlinks_1.4-4 sysvinit-utils_2.96-3 t1utils_1.41-3 tar_1.30+dfsg-7 tex-common_6.13 texlive-base_2019.20200302-1 texlive-binaries_2019.20190605.51237-3 texlive-fonts-recommended_2019.20200302-1 texlive-latex-base_2019.20200302-1 texlive-latex-extra_2019.202000302-1 texlive-latex-recommended_2019.20200302-1 texlive-pictures_2019.20200302-1 tzdata_2019c-3 ucf_3.0038+nmu1 util-linux_2.34-0.1 x11-common_1:7.7+20 xdg-utils_1.1.3-2 xml-core_0.18+nmu1 xz-utils_5.2.4-1 zlib1g_1:1.2.11.dfsg-2 zlib1g-dev_1:1.2.11.dfsg-2
+------------------------------------------------------------------------------+
| Build |
+------------------------------------------------------------------------------+
Unpack source
-------------
gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/sbuild-nonexistent/.gnupg/trustedkeys.kbx': General error
gpgv: Signature made Thu Apr 2 19:06:29 2020 UTC
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_1.0.4+dfsg-2.dsc
dpkg-source: info: extracting theano in /<<BUILDDIR>>/theano-1.0.4+dfsg
dpkg-source: info: unpacking theano_1.0.4+dfsg.orig.tar.gz
dpkg-source: info: unpacking theano_1.0.4+dfsg-2.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 opencl-warn.patch
dpkg-source: info: applying python3-shebangs.patch
dpkg-source: info: applying sphinx2-compat.patch
dpkg-source: info: applying fix-syntax-warnings.patch
dpkg-source: info: applying numpyscipy-compat.patch
dpkg-source: info: applying fail-on-test-fail.patch
Check disk space
----------------
Sufficient free space for build
User Environment
----------------
APT_CONFIG=/var/lib/sbuild/apt.conf
DBUS_SESSION_BUS_ADDRESS=unix:path=/run/user/112/bus
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
INVOCATION_ID=720b06fe9d064e5ca4b0c1eb263ac862
JOURNAL_STREAM=8:20551
LANG=en_GB.UTF-8
LC_ALL=POSIX
LOGNAME=buildd
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
PWD=/
SCHROOT_ALIAS_NAME=bullseye-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=bullseye-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=116
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=bullseye-staging-armhf-sbuild-6351449c-3c6b-476d-8d25-af5c1230f52a
SCHROOT_UID=112
SCHROOT_USER=buildd
SHELL=/bin/sh
USER=buildd
XDG_RUNTIME_DIR=/run/user/112
XDG_SESSION_ID=c1503
dpkg-buildpackage
-----------------
dpkg-buildpackage: info: source package theano
dpkg-buildpackage: info: source version 1.0.4+dfsg-2
dpkg-buildpackage: info: source distribution unstable
dpkg-source --before-build .
dpkg-buildpackage: info: host architecture armhf
dpkg-source: info: using options from theano-1.0.4+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/
debian/rules clean
dh clean --with python3,sphinxdoc --buildsystem=pybuild
debian/rules override_dh_auto_clean
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+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 '/<<BUILDDIR>>/theano-1.0.4+dfsg/debian/missing-source/graphlib-dot'
rm -rf build
make[2]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg/debian/missing-source/graphlib-dot'
dh_auto_clean
I: pybuild base:217: python3.8 setup.py clean
running clean
removing '/<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build' (and everything under it)
'build/bdist.linux-armhf' does not exist -- can't clean it
'build/scripts-3.8' does not exist -- can't clean it
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_autoreconf_clean -O--buildsystem=pybuild
dh_clean -O--buildsystem=pybuild
debian/rules binary-arch
dh binary-arch --with python3,sphinxdoc --buildsystem=pybuild
dh_update_autotools_config -a -O--buildsystem=pybuild
dh_autoreconf -a -O--buildsystem=pybuild
dh_auto_configure -a -O--buildsystem=pybuild
I: pybuild base:217: python3.8 setup.py config
running config
debian/rules override_dh_auto_build
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+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 '/<<BUILDDIR>>/theano-1.0.4+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 '/<<BUILDDIR>>/theano-1.0.4+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
cd /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/scan_module && cython3 scan_perform.pyx
/usr/lib/python3/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/scan_module/scan_perform.pyx
tree = Parsing.p_module(s, pxd, full_module_name)
#remove relative paths from comments - they are unreproducible (depends on the number of levels in the build path) and probably wrong when installed
cd /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/scan_module && sed -iE -e 's#/\* "[./]*usr/lib/#/\* "/usr/lib/#g' scan_perform.c
#this patch is to code Cython copies from itself (Cython/Includes/numpy/__init__.pxd), that only exists in older versions - #918771
cd /<<BUILDDIR>>/theano-1.0.4+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 /<<BUILDDIR>>/theano-1.0.4+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 /<<BUILDDIR>>/theano-1.0.4+dfsg/doc/library/d3viz/index.ipynb jupyter_tmp && jupyter-nbconvert --to notebook --execute /<<BUILDDIR>>/theano-1.0.4+dfsg/jupyter_tmp/index.ipynb --output /<<BUILDDIR>>/theano-1.0.4+dfsg/jupyter_tmp/test.ipynb
[NbConvertApp] Converting notebook /<<BUILDDIR>>/theano-1.0.4+dfsg/jupyter_tmp/index.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python3
[NbConvertApp] Writing 186059 bytes to /<<BUILDDIR>>/theano-1.0.4+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 505642 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 v1.8.5
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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnConvDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+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.
/<<BUILDDIR>>/theano-1.0.4+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.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/linalg/ops.py:docstring of theano.sandbox.linalg.ops.HintsOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.ConstructSparseFromList.make_node:8: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/io.py:docstring of theano.tensor.io.MPIRecv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+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.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.FusionOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.InplaceElemwiseOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.ShapeOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+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%] html/theano-short.bib
copying downloadable files... [ 18%] html/theano-full.bib
copying downloadable files... [ 27%] html/extending/extending_theano_solution_1.py
copying downloadable files... [ 36%] html/omlw2014/omlw_presentation.pdf
copying downloadable files... [ 45%] html/library/d3viz/index.ipynb
copying downloadable files... [ 54%] html/library/d3viz/examples/mlp2.png
copying downloadable files... [ 63%] html/library/d3viz/examples/mlp2.pdf
copying downloadable files... [ 72%] html/tutorial/adding_solution_1.py
copying downloadable files... [ 81%] html/tutorial/loop_solution_1.py
copying downloadable files... [ 90%] html/tutorial/modes_solution_1.py
copying downloadable files... [100%] html/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, 130 warnings.
The HTML pages are in ..
Running Sphinx v1.8.5
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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnConvDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+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.
/<<BUILDDIR>>/theano-1.0.4+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.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/linalg/ops.py:docstring of theano.sandbox.linalg.ops.HintsOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.ConstructSparseFromList.make_node:8: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/io.py:docstring of theano.tensor.io.MPIRecv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string.
/<<BUILDDIR>>/theano-1.0.4+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.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.FusionOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.InplaceElemwiseOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.ShapeOptimizer.add_requirements:3: WARNING: Unexpected indentation.
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:19: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:12: WARNING: Unknown target name: "py".
/<<BUILDDIR>>/theano-1.0.4+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, 130 warnings.
The LaTeX files are in ../../../../tmp/tmpn6a77e_t.
Run 'make' in that directory to run these through (pdf)latex
(use `make latexpdf' here to do that automatically).
make[2]: Entering directory '/tmp/tmpn6a77e_t'
latexmk -pdf -dvi- -ps- 'theano.tex'
Rc files read:
/etc/LatexMk
latexmkrc
Latexmk: This is Latexmk, John Collins, 6 Feb. 2020, version: 4.69.
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 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex)
restricted \write18 enabled.
entering extended mode
(./theano.tex
LaTeX2e <2020-02-02> patch level 5
L3 programming layer <2020-02-25> (./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 2019/12/20 v1.4l 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<<t1.cmap>>)
(/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/ltxcmds/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/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)
(./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/kvoptions/kvoptions.sty
(/usr/share/texlive/texmf-dist/tex/generic/kvsetkeys/kvsetkeys.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty
(/usr/share/texlive/texmf-dist/tex/generic/iftex/ifvtex.sty
(/usr/share/texlive/texmf-dist/tex/generic/iftex/iftex.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty
(/usr/share/texlive/texmf-dist/tex/latex/pdftexcmds/pdftexcmds.sty
(/usr/share/texlive/texmf-dist/tex/generic/infwarerr/infwarerr.sty))
(/usr/share/texlive/texmf-dist/tex/generic/kvdefinekeys/kvdefinekeys.sty)
(/usr/share/texlive/texmf-dist/tex/generic/pdfescape/pdfescape.sty)
(/usr/share/texlive/texmf-dist/tex/latex/hycolor/hycolor.sty)
(/usr/share/texlive/texmf-dist/tex/latex/letltxmacro/letltxmacro.sty)
(/usr/share/texlive/texmf-dist/tex/latex/auxhook/auxhook.sty)
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def)
(/usr/share/texlive/texmf-dist/tex/generic/intcalc/intcalc.sty)
(/usr/share/texlive/texmf-dist/tex/generic/etexcmds/etexcmds.sty)
(/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/generic/bitset/bitset.sty
(/usr/share/texlive/texmf-dist/tex/generic/bigintcalc/bigintcalc.sty))
(/usr/share/texlive/texmf-dist/tex/generic/atbegshi/atbegshi.sty))
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def
(/usr/share/texlive/texmf-dist/tex/latex/atveryend/atveryend.sty)
(/usr/share/texlive/texmf-dist/tex/latex/rerunfilecheck/rerunfilecheck.sty
(/usr/share/texlive/texmf-dist/tex/generic/uniquecounter/uniquecounter.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty)
Writing index file theano.idx
(/usr/share/texlive/texmf-dist/tex/latex/l3backend/l3backend-pdfmode.def)
(./theano.aux) (/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/epstopdf-pkg/epstopdf-base.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/latex/refcount/refcount.sty)
(/usr/share/texlive/texmf-dist/tex/generic/gettitlestring/gettitlestring.sty))
(/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd)
(/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 20.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 23.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 26.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 46.
)<<ot1.cmap>><<oml.cmap>><<oms.cmap>><<omx.cmap>>
(/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 521.
LaTeX Warning: Hyper reference `LICENSE:license' on page 15 undefined on input
line 528.
(/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [15]
LaTeX Warning: Hyper reference `install:install' on page 16 undefined on input
line 611.
LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 16 undefined o
n input line 614.
LaTeX Warning: Hyper reference `library/index:libdoc' on page 16 undefined on i
nput line 618.
LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 16 undefined o
n input line 620.
[16] [17]
LaTeX Warning: Hyper reference `tutorial/multi_cores:tut-multi-cores' on page 1
8 undefined on input line 744.
[18]
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 19 undefin
ed on input line 832.
LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc'
on page 19 undefined on input line 843.
[19] [20]
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 21 undefin
ed on input line 991.
LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc'
on page 21 undefined on input line 1002.
[21] [22]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 23 und
efined on input line 1134.
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 23 und
efined on input line 1171.
[23]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 24 und
efined on input line 1213.
[24] [25]
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 26 undefin
ed on input line 1356.
[26]
LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc'
on page 27 undefined on input line 1367.
[27] [28]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 29 und
efined on input line 1522.
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 29 und
efined on input line 1559.
[29]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 30 und
efined on input line 1601.
[30] [31]
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 32 undefin
ed on input line 1791.
[32]
LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc'
on page 33 undefined on input line 1802.
[33]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 34 und
efined on input line 1911.
[34]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 35 und
efined on input line 1948.
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 35 und
efined on input line 1990.
[35] [36]
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 37 undefin
ed on input line 2101.
LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc'
on page 37 undefined on input line 2112.
[37] [38]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 39 und
efined on input line 2244.
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 39 und
efined on input line 2281.
[39]
LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 40 und
efined on input line 2323.
[40]
LaTeX Warning: Hyper reference `tutorial/using_gpu:testing-the-gpu' on page 41
undefined on input line 2387.
LaTeX Warning: Hyper reference `updating:updating' on page 41 undefined on inpu
t line 2390.
[41]
LaTeX Warning: Hyper reference `install:install' on page 42 undefined on input
line 2502.
LaTeX Warning: Hyper reference `glossary:glossary' on page 42 undefined on inpu
t line 2504.
[42] [43] [44]
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 45 unde
fined on input line 2660.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 45 undefined on input line 2685.
LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 45 un
defined on input line 2696.
[45]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable.eva
l' on page 46 undefined on input line 2722.
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-broadcastabl
e' on page 46 undefined on input line 2783.
[46]
Underfull \hbox (badness 10000) in paragraph at lines 2788--2789
[]\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 2791--2792
[]\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 2794--2795
[]\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 2797--2798
[]\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 2800--2801
[]\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 2803--2804
[]\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 2806--2807
[]\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 2811.
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-basic-tensor' on pa
ge 47 undefined on input line 2843.
[47]
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-elementwise'
on page 48 undefined on input line 2866.
[48 <./logistic.png>]
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-elementwise'
on page 49 undefined on input line 2905.
LaTeX Warning: Hyper reference `library/compile/io:function-inputs' on page 49
undefined on input line 2952.
[49]
LaTeX Warning: Hyper reference `library/compile/function:usingfunction' on page
50 undefined on input line 2987.
LaTeX Warning: Hyper reference `library/compile/shared:libdoc-compile-shared' o
n page 50 undefined on input line 3008.
[50]
LaTeX Warning: Hyper reference `tutorial/using_gpu:using-gpu' on page 51 undefi
ned on input line 3068.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
(/usr/share/texlive/texmf-dist/tex/latex/base/t1cmtt.fd)
(/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmtt.fd)
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
[51]
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n_module.Function.copy' on page 52 undefined on input line 3110.
[52]
LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:libdoc-tens
or-shared-randomstreams' on page 53 undefined on input line 3182.
LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran
dom' on page 53 undefined on input line 3183.
LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran
dom' on page 53 undefined on input line 3205.
LaTeX Warning: Hyper reference `tutorial/examples:other-implementations' on pag
e 53 undefined on input line 3206.
[53]
LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:theano.tens
or.shared_randomstreams.RandomStreams' on page 54 undefined on input line 3289.
LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:theano.sandbox.rng_mrg.
MRG_RandomStreams' on page 54 undefined on input line 3290.
[54] [55]
LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran
dom' on page 56 undefined on input line 3356.
LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:libdoc-rng-mrg' on page
56 undefined on input line 3361.
[56] [57] [58 <./dlogistic.png>]
LaTeX Warning: Hyper reference `library/gradient:libdoc-gradient' on page 59 un
defined on input line 3529.
LaTeX Warning: Hyper reference `extending/index:extending' on page 59 undefined
on input line 3532.
LaTeX Warning: Hyper reference `library/gradient:theano.gradient.jacobian' on p
age 59 undefined on input line 3541.
LaTeX Warning: Hyper reference `tutorial/loop:tutloop' on page 59 undefined on
input line 3555.
[59]
LaTeX Warning: Hyper reference `library/gradient:theano.gradient.hessian' on pa
ge 60 undefined on input line 3590.
[60]
LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 61 undefine
d on input line 3654.
LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 61 undefine
d on input line 3687.
[61] [62]
LaTeX Warning: Hyper reference `tutorial/debug_faq:test-values' on page 63 unde
fined on input line 3821.
[63]
LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 64 undefined on
input line 3875.
[64] [65]
Overfull \vbox (1.67064pt too high) detected at line 4010
[66]
Overfull \vbox (3.27065pt too high) detected at line 4086
[67] [68] [69]
Overfull \vbox (0.82033pt too high) detected at line 4232
[70] [71] [72] [73]
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 74 unde
fined on input line 4465.
[74 <./bcast.png>] [75]
LaTeX Warning: Hyper reference `library/sparse/index:libdoc-sparse' on page 76
undefined on input line 4560.
[76]
LaTeX Warning: Hyper reference `library/sparse/index:libdoc-sparse' on page 77
undefined on input line 4614.
[77] [78]
LaTeX Warning: Hyper reference `library/sparse/index:libdoc-sparse' on page 79
undefined on input line 4716.
LaTeX Warning: Hyper reference `install_ubuntu:gpu-linux' on page 79 undefined
on input line 4774.
LaTeX Warning: Hyper reference `install_macos:gpu-macos' on page 79 undefined o
n input line 4774.
LaTeX Warning: Hyper reference `install_windows:gpu-windows' on page 79 undefin
ed on input line 4774.
[79]
LaTeX Warning: Hyper reference `library/index:theano.shared' on page 80 undefin
ed on input line 4827.
[80]
LaTeX Warning: Hyper reference `tutorial/using_multi_gpu:tut-using-multi-gpu' o
n page 81 undefined on input line 4888.
[81]
LaTeX Warning: Hyper reference `tutorial/aliasing:borrowfunction' on page 82 un
defined on input line 4915.
[82]
LaTeX Warning: Hyper reference `tutorial/aliasing:aliasing' on page 83 undefine
d on input line 5019.
[83]
LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 84 undefine
d on input line 5088.
[84]
Underfull \hbox (badness 10000) in paragraph at lines 5139--5140
[]\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 5352.
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 88 undefin
ed on input line 5367.
[88]
LaTeX Warning: Hyper reference `library/config:config.print_active_device' on p
age 89 undefined on input line 5418.
[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 6415.
LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship11' on pag
e 115 undefined on input line 6416.
[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 6725.
[121]
LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 122
undefined on input line 6736.
LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 122 und
efined on input line 6739.
LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 122 undef
ined on input line 6751.
[122] [123]
Underfull \hbox (badness 10000) in paragraph at lines 6865--6868
[]
LaTeX Warning: Hyper reference `library/compile/nanguardmode:nanguardmode' on p
age 124 undefined on input line 6872.
LaTeX Warning: Hyper reference `library/config:config.mode' on page 124 undefin
ed on input line 6877.
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\T1/phv/m/n/10.95 short
Overfull \hbox (34.68462pt too wide) in paragraph at lines 6915--6915
[]\T1/pcr/m/n/10.95 FAST_COMPILE|
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\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 6915--6915
[]\T1/pcr/m/n/10.95 FAST_RUN|
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\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 6915--6915
[]\T1/pcr/m/n/10.95 DebugMode|
LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 124
undefined on input line 6922.
LaTeX Warning: Hyper reference `library/config:config.linker' on page 124 undef
ined on input line 6932.
Underfull \hbox (badness 10000) in paragraph at lines 7051--7051
[]\T1/ptm/m/n/10.95 Nan-Guard-
Underfull \hbox (badness 10000) in paragraph at lines 7051--7051
[]\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 7055.
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/phv/m/n/10.95 Com-pile
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/phv/m/n/10.95 Ex-e-cu-tion
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/ptm/m/n/10.95 o1
LaTeX Warning: Hyper reference `optimizations:optimizations' on page 125 undefi
ned on input line 7153.
[125]
LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 12
6 undefined on input line 7196.
LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on
page 126 undefined on input line 7202.
LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 126 u
ndefined on input line 7206.
Underfull \hbox (badness 10000) in paragraph at lines 7201--7207
[]\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 7208--7215
\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 7208--7215
\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 7311--7312
[]
[128]
Overfull \hbox (132.49107pt too wide) in paragraph at lines 7320--7321
[]
[129 <./logreg_pydotprint_prediction2.png>]
Overfull \hbox (659.4564pt too wide) in paragraph at lines 7329--7330
[]
[130 <./logreg_pydotprint_predict2.png>]
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 131 undefined on input line 7334.
[131 <./logreg_pydotprint_train2.png>]
LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 132 und
efined on input line 7351.
LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 132 und
efined on input line 7356.
[132 <./d3viz.png>] [133]
Overfull \vbox (2.07271pt too high) detected at line 7497
[134] [135] [136]
LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 137
undefined on input line 7629.
LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on
page 137 undefined on input line 7642.
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 137 undefined on input line 7645.
LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 137 u
ndefined on input line 7647.
LaTeX Warning: Hyper reference `library/config:config.mode' on page 137 undefin
ed on input line 7654.
LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 137 u
ndefined on input line 7657.
[137]
Underfull \hbox (badness 10000) in paragraph at lines 7697--7699
[]\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 7697--7699
\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
[139]
Underfull \hbox (badness 10000) in paragraph at lines 7799--7804
\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 7856
[140] [141]
LaTeX Warning: Hyper reference `library/tests:theano.tests.breakpoint.PdbBreakp
oint' on page 142 undefined on input line 7939.
LaTeX Warning: Hyper reference `library/tests:theano.tests.breakpoint.PdbBreakp
oint' on page 142 undefined on input line 7940.
LaTeX Warning: Hyper reference `library/compile/nanguardmode:nanguardmode' on p
age 142 undefined on input line 7980.
LaTeX Warning: Hyper reference `tutorial/nan_tutorial:allocempty' on page 142 u
ndefined on input line 7982.
[142]
LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 14
3 undefined on input line 7987.
LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 143
undefined on input line 7992.
[143]
LaTeX Warning: Hyper reference `library/config:config.profile' on page 144 unde
fined on input line 8041.
LaTeX Warning: Hyper reference `library/config:config.profile_memory' on page 1
44 undefined on input line 8044.
LaTeX Warning: Hyper reference `library/config:config.profile' on page 144 unde
fined on input line 8044.
LaTeX Warning: Hyper reference `library/config:config.profile_optimizer' on pag
e 144 undefined on input line 8048.
LaTeX Warning: Hyper reference `library/config:config.profile' on page 144 unde
fined on input line 8049.
Overfull \hbox (197.92802pt too wide) in paragraph at lines 8061--8061
[]
Underfull \hbox (badness 10000) in paragraph at lines 8061--8061
Underfull \hbox (badness 10000) in paragraph at lines 8117--8118
[]\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 8175.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 146
undefined on input line 8175.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 146 undef
ined on input line 8176.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 146 und
efined on input line 8180.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 146 un
defined on input line 8200.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 146
undefined on input line 8200.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 146 undef
ined on input line 8201.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 146 und
efined on input line 8201.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 146
undefined on input line 8203.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 146 un
defined on input line 8203.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 146 undef
ined on input line 8204.
[146 <./apply.png>]
LaTeX Warning: Hyper reference `glossary:term-broadcasting' on page 147 undefin
ed on input line 8256.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 147 un
defined on input line 8279.
LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 147
undefined on input line 8279.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 147 undef
ined on input line 8279.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 147
undefined on input line 8279.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 147 und
efined on input line 8280.
LaTeX Warning: Hyper reference `glossary:term-graph' on page 147 undefined on i
nput line 8287.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 147
undefined on input line 8288.
[147]
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 8295.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 148 un
defined on input line 8300.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef
ined on input line 8301.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef
ined on input line 8307.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148
undefined on input line 8311.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148
undefined on input line 8315.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef
ined on input line 8326.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148
undefined on input line 8329.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 148 un
defined on input line 8329.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 148 und
efined on input line 8343.
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on
page 148 undefined on input line 8346.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 148 und
efined on input line 8368.
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on
page 148 undefined on input line 8369.
LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on
page 148 undefined on input line 8369.
[148]
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 149
undefined on input line 8399.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 149 und
efined on input line 8410.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un
defined on input line 8417.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 149 und
efined on input line 8428.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un
defined on input line 8432.
LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 149
undefined on input line 8444.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 149
undefined on input line 8450.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 149 undef
ined on input line 8452.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un
defined on input line 8452.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 149 undef
ined on input line 8454.
[149] [150]
LaTeX Warning: Hyper reference `tutorial/gradients:tutcomputinggrads' on page 1
51 undefined on input line 8545.
LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 15
1 undefined on input line 8567.
LaTeX Warning: Hyper reference `optimizations:optimizations' on page 151 undefi
ned on input line 8567.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 8580.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 8580.
[151]
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 152 undefined on input line 8588.
Overfull \hbox (6.0pt too wide) in paragraph at lines 8607--8607
[]|
Overfull \hbox (157.20721pt too wide) in paragraph at lines 8607--8607
[][]|
Overfull \hbox (6.0pt too wide) in paragraph at lines 8607--8607
[]|
Overfull \hbox (157.43991pt too wide) in paragraph at lines 8607--8607
[][]|
Overfull \hbox (6.00545pt too wide) in paragraph at lines 8607--8608
[][]
[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 8744.
LaTeX Warning: Hyper reference `library/misc/pkl_utils:theano.misc.pkl_utils.lo
ad' on page 154 undefined on input line 8744.
[154] [155] [156] [157]
LaTeX Warning: Hyper reference `library/gpuarray/type:libdoc-gpuarray-type' on
page 158 undefined on input line 9009.
[158] [159]
LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 160 undef
ined on input line 9099.
[160]
LaTeX Warning: Hyper reference `extending/extending_theano_c:extending-theano-c
' on page 161 undefined on input line 9220.
LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 161 undefined
on input line 9232.
[161]
LaTeX Warning: Hyper reference `dev_start_guide:dev-start-guide' on page 162 un
defined on input line 9236.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 162 undef
ined on input line 9257.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 162 und
efined on input line 9258.
LaTeX Warning: Hyper reference `extending/op:perform' on page 162 undefined on
input line 9267.
LaTeX Warning: Hyper reference `extending/inplace:views-and-inplace' on page 16
2 undefined on input line 9268.
[162]
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 163 un
defined on input line 9286.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 163
undefined on input line 9286.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 163
undefined on input line 9287.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 163
undefined on input line 9289.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 163 un
defined on input line 9289.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 163 un
defined on input line 9290.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 163 undef
ined on input line 9291.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 163 undefined on input line 9293.
LaTeX Warning: Hyper reference `extending/op:op-contract' on page 163 undefined
on input line 9303.
[163 <./apply_node.png>]
LaTeX Warning: Hyper reference `extending/op:make_node' on page 164 undefined o
n input line 9353.
LaTeX Warning: Hyper reference `extending/op:perform' on page 164 undefined on
input line 9354.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 164 undefined
on input line 9354.
LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 164 undefined
on input line 9355.
LaTeX Warning: Hyper reference `extending/op:make_node' on page 164 undefined o
n input line 9358.
LaTeX Warning: Hyper reference `extending/op:perform' on page 164 undefined on
input line 9379.
LaTeX Warning: Hyper reference `extending/op:make_node' on page 164 undefined o
n input line 9384.
[164]
LaTeX Warning: Hyper reference `extending/op:perform' on page 165 undefined on
input line 9408.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 165 undefined
on input line 9412.
LaTeX Warning: Hyper reference `extending/extending_theano_c:extending-theano-c
' on page 165 undefined on input line 9414.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 165 undefined
on input line 9414.
LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 165 undefined
on input line 9418.
LaTeX Warning: Hyper reference `extending/op:perform' on page 165 undefined on
input line 9418.
LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 165 undefined
on input line 9449.
LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 165 undefined
on input line 9452.
LaTeX Warning: Hyper reference `extending/op:perform' on page 165 undefined on
input line 9454.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 165 undefined
on input line 9454.
LaTeX Warning: Hyper reference `extending/op:make_node' on page 165 undefined o
n input line 9456.
LaTeX Warning: Hyper reference `extending/op:make_node' on page 165 undefined o
n input line 9457.
LaTeX Warning: Hyper reference `extending/op:make_node' on page 165 undefined o
n input line 9458.
LaTeX Warning: Hyper reference `extending/op:__str__' on page 165 undefined on
input line 9467.
LaTeX Warning: Hyper reference `extending/op:__eq__' on page 165 undefined on i
nput line 9470.
LaTeX Warning: Hyper reference `extending/op:__hash__' on page 165 undefined on
input line 9470.
LaTeX Warning: Hyper reference `extending/op:__eq__' on page 165 undefined on i
nput line 9475.
[165]
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 9484.
LaTeX Warning: Hyper reference `extending/op:__eq__' on page 166 undefined on i
nput line 9485.
LaTeX Warning: Hyper reference `extending/op:__hash__' on page 166 undefined on
input line 9485.
LaTeX Warning: Hyper reference `extending/op:__eq__' on page 166 undefined on i
nput line 9486.
LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o
n input line 9487.
LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o
n input line 9488.
LaTeX Warning: Hyper reference `extending/op:__hash__' on page 166 undefined on
input line 9489.
LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o
n input line 9490.
LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o
n input line 9491.
LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o
n input line 9492.
LaTeX Warning: Hyper reference `extending/op:__str__' on page 166 undefined on
input line 9492.
LaTeX Warning: Hyper reference `extending/op:infer_shape' on page 166 undefined
on input line 9495.
LaTeX Warning: Hyper reference `extending/op:infer_shape' on page 166 undefined
on input line 9500.
LaTeX Warning: Hyper reference `extending/op:grad' on page 166 undefined on inp
ut line 9506.
LaTeX Warning: Hyper reference `extending/op:grad' on page 166 undefined on inp
ut line 9519.
LaTeX Warning: Hyper reference `extending/op:R_op' on page 166 undefined on inp
ut line 9522.
[166]
Underfull \vbox (badness 10000) detected at line 9606
Overfull \vbox (2.47066pt too high) detected at line 9606
[167] [168]
LaTeX Warning: Hyper reference `extending/op:__props__' on page 169 undefined o
n input line 9697.
[169]
LaTeX Warning: Hyper reference `extending/op:__props__' on page 170 undefined o
n input line 9733.
LaTeX Warning: Hyper reference `extending/op:__eq__' on page 170 undefined on i
nput line 9734.
LaTeX Warning: Hyper reference `extending/op:__hash__' on page 170 undefined on
input line 9734.
LaTeX Warning: Hyper reference `extending/op:__str__' on page 170 undefined on
input line 9735.
[170] [171]
LaTeX Warning: Hyper reference `extending/unittest:validating-grad' on page 172
undefined on input line 9852.
Underfull \hbox (badness 10000) in paragraph at lines 9870--9874
\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 9997.
LaTeX Warning: Hyper reference `extending/op:infer_shape' on page 174 undefined
on input line 10010.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
[174]
LaTeX Warning: Hyper reference `dev_start_guide:quality-contributions' on page
175 undefined on input line 10089.
[175]
Underfull \hbox (badness 10000) in paragraph at lines 10102--10107
[]\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 10112.
LaTeX Warning: Hyper reference `extending/other_ops:other-ops' on page 176 unde
fined on input line 10114.
LaTeX Warning: Hyper reference `extending/other_ops:scalar-ops' on page 176 und
efined on input line 10118.
LaTeX Warning: Hyper reference `extending/other_ops:scipy-ops' on page 176 unde
fined on input line 10121.
LaTeX Warning: Hyper reference `extending/other_ops:sparse-ops' on page 176 und
efined on input line 10124.
LaTeX Warning: Hyper reference `extending/other_ops:random-ops' on page 176 und
efined on input line 10127.
LaTeX Warning: Hyper reference `extending/other_ops:openmp-ops' on page 176 und
efined on input line 10130.
LaTeX Warning: Hyper reference `extending/other_ops:numba-ops' on page 176 unde
fined on input line 10133.
LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on
page 176 undefined on input line 10144.
[176] [177] [178]
Underfull \hbox (badness 10000) in paragraph at lines 10379--10382
\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 10469.
LaTeX Warning: Hyper reference `extending/cop:Op.c_libraries' on page 180 undef
ined on input line 10473.
LaTeX Warning: Hyper reference `extending/cop:Op.c_lib_dirs' on page 180 undefi
ned on input line 10473.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cleanup' on page 180 un
defined on input line 10477.
LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code' on page 180 undef
ined on input line 10481.
LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_apply' on page 180
undefined on input line 10481.
LaTeX Warning: Hyper reference `extending/cop:Op.c_compile_args' on page 180 un
defined on input line 10486.
LaTeX Warning: Hyper reference `extending/cop:Op.c_no_compile_args' on page 180
undefined on input line 10487.
[180]
LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 181 undefined
on input line 10492.
LaTeX Warning: Hyper reference `extending/cop:Op.c_support_code' on page 181 un
defined on input line 10493.
LaTeX Warning: Hyper reference `extending/cop:Op.c_support_code_apply' on page
181 undefined on input line 10493.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cache_version' on page
181 undefined on input line 10494.
Underfull \hbox (badness 10000) in paragraph at lines 10492--10497
[]\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 10503.
[181] [182]
Overfull \vbox (2.50832pt too high) detected at line 10753
[183]
Underfull \vbox (badness 10000) detected at line 10753
Overfull \vbox (2.47066pt too high) detected at line 10753
[184]
Overfull \vbox (1.72316pt too high) detected at line 10906
[185]
Underfull \vbox (badness 10000) detected at line 10906
Overfull \vbox (2.47066pt too high) detected at line 10906
[186]
LaTeX Warning: Hyper reference `extending/cop:Op' on page 187 undefined on inpu
t line 10912.
[187]
LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cache_version' on page
188 undefined on input line 10928.
[188]
Underfull \vbox (badness 10000) detected at line 11045
Overfull \vbox (2.47066pt too high) detected at line 11045
[189]
LaTeX Warning: Hyper reference `extending/cop:Op' on page 190 undefined on inpu
t line 11056.
[190]
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 191 un
defined on input line 11135.
Underfull \hbox (badness 10000) in paragraph at lines 11168--11171
[]\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 11217.
LaTeX Warning: Hyper reference `extending/other_ops:alternate-theano-types' on
page 192 undefined on input line 11276.
[192] [193] [194] [195]
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 196
undefined on input line 11446.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 196 undefined on input line 11451.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 196
undefined on input line 11458.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 196 un
defined on input line 11471.
LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraph' on page 1
96 undefined on input line 11472.
LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 19
6 undefined on input line 11476.
LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on
page 196 undefined on input line 11478.
LaTeX Warning: Hyper reference `glossary:term-optimizer' on page 196 undefined
on input line 11485.
LaTeX Warning: Hyper reference `glossary:term-mode' on page 196 undefined on in
put line 11486.
LaTeX Warning: Hyper reference `glossary:term-linker' on page 196 undefined on
input line 11495.
[196]
LaTeX Warning: Hyper reference `library/config:config.compiledir' on page 197 u
ndefined on input line 11528.
LaTeX Warning: Hyper reference `library/config:config.base_compiledir' on page
197 undefined on input line 11529.
LaTeX Warning: Hyper reference `library/config:module-config' on page 197 undef
ined on input line 11530.
[197]
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Type' on page
198 undefined on input line 11625.
[198]
LaTeX Warning: Hyper reference `glossary:term-variable' on page 199 undefined o
n input line 11719.
[199]
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 200 und
efined on input line 11857.
[200]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 20
1 undefined on input line 11943.
[201] [202]
Overfull \vbox (10.92513pt too high) detected at line 12097
[203] [204]
LaTeX Warning: Hyper reference `extending/inplace:views-and-inplace' on page 20
5 undefined on input line 12184.
LaTeX Warning: Hyper reference `extending/cop:cop' on page 205 undefined on inp
ut line 12191.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 205 undef
ined on input line 12192.
LaTeX Warning: Hyper reference `extending/inplace:views-and-inplace' on page 20
5 undefined on input line 12205.
[205]
LaTeX Warning: Hyper reference `extending/op:perform' on page 206 undefined on
input line 12311.
LaTeX Warning: Hyper reference `extending/op:make_node' on page 206 undefined o
n input line 12322.
[206]
LaTeX Warning: Hyper reference `extending/op:perform' on page 207 undefined on
input line 12412.
[207]
LaTeX Warning: Hyper reference `library/gradient:theano.gradient.grad_undefined
' on page 208 undefined on input line 12447.
LaTeX Warning: Hyper reference `library/gradient:theano.gradient.grad_not_imple
mented' on page 208 undefined on input line 12448.
[208]
Underfull \hbox (badness 10000) in paragraph at lines 12527--12534
[]\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 12535.
LaTeX Warning: Hyper reference `extending/op:grad' on page 209 undefined on inp
ut line 12539.
[209]
Underfull \hbox (badness 10000) in paragraph at lines 12631--12636
[]\T1/ptm/m/n/10.95 The grad method
Underfull \hbox (badness 10000) in paragraph at lines 12640--12645
[]\T1/ptm/m/n/10.95 If
[210]
LaTeX Warning: Hyper reference `extending/op:grad' on page 211 undefined on inp
ut line 12737.
LaTeX Warning: Hyper reference `extending/op:R_op' on page 211 undefined on inp
ut line 12737.
LaTeX Warning: Hyper reference `extending/op:R_op' on page 211 undefined on inp
ut line 12747.
LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 211 undefin
ed on input line 12749.
[211]
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 212 undef
ined on input line 12824.
[212]
LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 213
undefined on input line 12883.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 213
undefined on input line 12884.
[213] [214]
LaTeX Warning: Hyper reference `glossary:term-view' on page 215 undefined on in
put line 12981.
LaTeX Warning: Hyper reference `glossary:term-inplace' on page 215 undefined on
input line 12982.
Overfull \vbox (0.70735pt too high) detected at line 13048
[215]
LaTeX Warning: Hyper reference `glossary:term-pure' on page 216 undefined on in
put line 13104.
[216]
LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 21
7 undefined on input line 13158.
[217] [218]
LaTeX Warning: Hyper reference `tutorial/sparse:tutsparse' on page 219 undefine
d on input line 13243.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.Cast'
on page 219 undefined on input line 13263.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.Ensure
SortedIndices' on page 219 undefined on input line 13269.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.Remove
0' on page 219 undefined on input line 13273.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.clean'
on page 219 undefined on input line 13278.
LaTeX Warning: Hyper reference `tutorial/sparse:tutsparse-gradient' on page 219
undefined on input line 13284.
[219]
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_pr
operties' on page 220 undefined on input line 13303.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_da
ta' on page 220 undefined on input line 13304.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_in
dices' on page 220 undefined on input line 13305.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_in
dptr' on page 220 undefined on input line 13306.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_sh
ape' on page 220 undefined on input line 13307.
Underfull \hbox (badness 6412) in paragraph at lines 13302--13309
[]\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 13319.
[220]
LaTeX Warning: Hyper reference `library/typed_list:libdoc-typed-list' on page 2
21 undefined on input line 13416.
[221]
LaTeX Warning: Hyper reference `library/scalar/index:libdoc-scalar' on page 222
undefined on input line 13422.
LaTeX Warning: Hyper reference `extending/other_ops:sparse-ops' on page 222 und
efined on input line 13427.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Generic' on pa
ge 222 undefined on input line 13433.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.CDataType' on
page 222 undefined on input line 13438.
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 222 und
efined on input line 13447.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Type' on page
222 undefined on input line 13482.
[222]
LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 223 und
efined on input line 13581.
[223]
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 224
undefined on input line 13628.
[224] [225]
Underfull \hbox (badness 10000) in paragraph at lines 13794--13803
[]\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 13841.
[227]
LaTeX Warning: Hyper reference `glossary:term-linker' on page 228 undefined on
input line 13932.
[228]
LaTeX Warning: Hyper reference `tutorial/aliasing:aliasing' on page 229 undefin
ed on input line 13997.
[229] [230]
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 231 undef
ined on input line 14064.
LaTeX Warning: Hyper reference `extending/cop:Op.get_params' on page 231 undefi
ned on input line 14103.
[231]
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 232 undef
ined on input line 14229.
LaTeX Warning: Hyper reference `extending/cop:Op.get_params' on page 232 undefi
ned on input line 14258.
[232]
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 233 undef
ined on input line 14269.
LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 233 undef
ined on input line 14279.
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_support_code' on
page 233 undefined on input line 14279.
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_support_code' on
page 233 undefined on input line 14296.
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_support_code_app
ly' on page 233 undefined on input line 14297.
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi
on' on page 233 undefined on input line 14349.
[233]
LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_struct' on page 23
4 undefined on input line 14380.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 234 un
defined on input line 14417.
[234] [235] [236]
LaTeX Warning: Hyper reference `extending/type:PureType.filter' on page 237 und
efined on input line 14578.
LaTeX Warning: Hyper reference `extending/type:PureType.__eq__' on page 237 und
efined on input line 14581.
LaTeX Warning: Hyper reference `extending/type:PureType.__hash__' on page 237 u
ndefined on input line 14584.
LaTeX Warning: Hyper reference `extending/type:PureType.values_eq' on page 237
undefined on input line 14587.
LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_declare' on page
237 undefined on input line 14595.
LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_init' on page 237
undefined on input line 14598.
LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_extract' on page
237 undefined on input line 14601.
LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_cleanup' on page
237 undefined on input line 14604.
LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_headers' on page
237 undefined on input line 14609.
LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type.
ParamsType' on page 237 undefined on input line 14619.
LaTeX Warning: Hyper reference `library/gof/params_type:libdoc-gof-params-type'
on page 237 undefined on input line 14621.
[237]
LaTeX Warning: Hyper reference `extending/op:perform' on page 238 undefined on
input line 14658.
LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 238 undefined
on input line 14669.
LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_struct' on page 23
8 undefined on input line 14670.
[238]
Overfull \vbox (2.923pt too high) detected at line 14780
[239]
LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 240 undefi
ned on input line 14786.
LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on
page 240 undefined on input line 14792.
LaTeX Warning: Hyper reference `extending/extending_theano_c:extending-theano-c
' on page 240 undefined on input line 14792.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.i
nfer_context_name' on page 240 undefined on input line 14810.
[240]
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.a
s_gpuarray_variable' on page 241 undefined on input line 14827.
Underfull \hbox (badness 10000) in paragraph at lines 14827--14832
[]\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 14860.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G
puFromHost' on page 241 undefined on input line 14870.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G
puEye' on page 241 undefined on input line 14870.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G
puKernelBase' on page 241 undefined on input line 14878.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.C
GpuKernelBase' on page 241 undefined on input line 14878.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G
puKernelBase' on page 241 undefined on input line 14881.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.K
ernel' on page 241 undefined on input line 14882.
[241]
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code' on page 24
2 undefined on input line 14937.
[242]
LaTeX Warning: Hyper reference `library/gpuarray/extra:module-theano.gpuarray.f
p16_help' on page 243 undefined on input line 14978.
LaTeX Warning: Hyper reference `library/gpuarray/extra:theano.gpuarray.fp16_hel
p.load_w' on page 243 undefined on input line 14981.
LaTeX Warning: Hyper reference `library/gpuarray/extra:theano.gpuarray.fp16_hel
p.write_w' on page 243 undefined on input line 14982.
LaTeX Warning: Hyper reference `library/gpuarray/extra:theano.gpuarray.fp16_hel
p.work_dtype' on page 243 undefined on input line 14983.
[243] [244]
Underfull \vbox (badness 10000) detected at line 15161
Overfull \vbox (2.47066pt too high) detected at line 15161
[245] [246] [247]
Underfull \vbox (badness 10000) detected at line 15269
[248] [249]
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 250 un
defined on input line 15347.
LaTeX Warning: Hyper reference `extending/optimization:navigator' on page 250 u
ndefined on input line 15349.
LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on
page 250 undefined on input line 15382.
Underfull \hbox (badness 10000) in paragraph at lines 15393--15395
[]\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 15416.
[251]
LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on
page 252 undefined on input line 15475.
LaTeX Warning: Hyper reference `library/gof/toolbox:libdoc-gof-toolbox' on page
252 undefined on input line 15476.
LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeaturelist
' on page 252 undefined on input line 15484.
LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 252
undefined on input line 15500.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 252 un
defined on input line 15501.
[252]
Overfull \vbox (0.72308pt too high) detected at line 15598
[253]
LaTeX Warning: Hyper reference `extending/optimization:navigator' on page 254 u
ndefined on input line 15612.
LaTeX Warning: Hyper reference `extending/optimization:navigator' on page 254 u
ndefined on input line 15612.
LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 254 un
defined on input line 15640.
LaTeX Warning: Hyper reference `extending/optimization:PatternSub' on page 254
undefined on input line 15661.
[254]
LaTeX Warning: Hyper reference `extending/optimization:PatternSub' on page 255
undefined on input line 15700.
[255] [256]
LaTeX Warning: Hyper reference `extending/optimization:optdb-structure' on page
257 undefined on input line 15856.
[257]
LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 258 u
ndefined on input line 16021.
[258]
Underfull \hbox (badness 10000) in paragraph at lines 16054--16055
[]\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 16075.
[259]
Underfull \vbox (badness 10000) detected at line 16265
Underfull \vbox (badness 10000) detected at line 16265
[260]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[261]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[262]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[263] [264]
Underfull \vbox (badness 10000) detected at line 16391
Overfull \vbox (9.22032pt too high) detected at line 16391
[265]
Underfull \hbox (badness 10000) in paragraph at lines 16395--16401
[]\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 16496.
[268] [269] [270] [271] [272]
LaTeX Warning: Hyper reference `library/config:config.mode' on page 273 undefin
ed on input line 16836.
LaTeX Warning: Hyper reference `library/config:module-config' on page 273 undef
ined on input line 16837.
LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 273
undefined on input line 16839.
[273]
LaTeX Warning: Hyper reference `library/config:module-config' on page 274 undef
ined on input line 16896.
[274] [275]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17028.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17028.
[276] [277]
LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on
page 278 undefined on input line 17153.
LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 278 undefined on
input line 17156.
LaTeX Warning: Hyper reference `extending/scan:scan-internals-optimizations' on
page 278 undefined on input line 17160.
LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 27
8 undefined on input line 17168.
[278]
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Type of
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 scan
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 in-ner in-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 in-ner out-put
Underfull \hbox (badness 6910) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 at timestep \T1/phv/m/sl/10.95 t
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 (in-dexed from
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ing outer
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ing ar-gu-
Underfull \hbox (badness 7777) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ment of the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/sl/10.95 theano.scan()
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 In-di-vid-ual se-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Non-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Non-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurring
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Singly-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 6157) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 (value at
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 at pre-vi-ous
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Multiply-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial val-
Underfull \hbox (badness 5652) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 ues for the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 re-quired
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 timesteps
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Multiply-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 mul-ti-ple
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-puts
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial val-
Underfull \hbox (badness 5652) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 ues for the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 re-quired
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 timesteps
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put val-ues
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 mul-ti-ple fu-ture
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\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 17575.
LaTeX Warning: Hyper reference `extending/type:type-contract' on page 283 undef
ined on input line 17575.
LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 283 und
efined on input line 17577.
LaTeX Warning: Hyper reference `extending/optimization:optdb' on page 283 undef
ined on input line 17583.
LaTeX Warning: Hyper reference `extending/op:op-contract' on page 283 undefined
on input line 17590.
LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 283 und
efined on input line 17591.
[283]
LaTeX Warning: Hyper reference `index:theano-community' on page 284 undefined o
n input line 17614.
[284]
LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 285 undefi
ned on input line 17676.
LaTeX Warning: Hyper reference `internal/metadocumentation:metadocumentation-ni
ghtly-build' on page 285 undefined on input line 17682.
LaTeX Warning: Hyper reference `dev_start_guide:vim-pep8' on page 285 undefined
on input line 17698.
LaTeX Warning: Hyper reference `dev_start_guide:emacs-pep8' on page 285 undefin
ed on input line 17698.
[285] [286] [287]
LaTeX Warning: Hyper reference `internal/metadocumentation:metadocumentation' o
n page 288 undefined on input line 17897.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17931.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17931.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17932.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17932.
[288]
LaTeX Warning: Hyper reference `library/tensor/elemwise:theano.tensor.elemwise.
Elemwise' on page 289 undefined on input line 17967.
[289]
LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 290 undefi
ned on input line 18095.
LaTeX Warning: Hyper reference `dev_start_guide:dev-workflow' on page 290 undef
ined on input line 18117.
[290] [291]
LaTeX Warning: Hyper reference `dev_start_guide:quality-contributions' on page
292 undefined on input line 18206.
[292] [293]
LaTeX Warning: Hyper reference `optimizations:term-merge' on page 294 undefined
on input line 18347.
LaTeX Warning: Hyper reference `optimizations:term-add-canonicalization' on pag
e 294 undefined on input line 18347.
LaTeX Warning: Hyper reference `optimizations:term-inplace-elemwise' on page 29
4 undefined on input line 18350.
LaTeX Warning: Hyper reference `optimizations:term-constant-folding' on page 29
4 undefined on input line 18353.
LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 29
4 undefined on input line 18364.
LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu
t line 18382.
LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu
t line 18382.
LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu
t line 18634.
LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu
t line 18634.
(/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 17.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 20.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 34.
)
LaTeX Warning: Hyper reference `optimizations:term-merge' on page 294 undefined
on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-constant-folding' on page 29
4 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-gpu-transfer' on page 294 un
defined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-shape-promotion' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-fill-cut' on page 294 undefi
ned on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inc-subtensor-serialization'
on page 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-reshape-chain' on page 294 u
ndefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-constant-elimination' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-add-canonicalization' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-mul-canonicalization' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-dot22' on page 294 undefined
on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-sparse-dot' on page 294 unde
fined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-sum-scalar-mul' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-neg-neg' on page 294 undefin
ed on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-neg-div-neg' on page 294 und
efined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-add-specialization' on page
294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-mul-specialization' on page
294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-pow-specialization' on page
294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inplace-setsubtensor' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-gemm' on page 294 undefined
on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inplace-elemwise' on page 29
4 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inplace-random' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-elemwise-fusion' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-local-log-softmax' on page 2
94 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-local-remove-all-assert' on
page 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu
t line 18634.
LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu
t line 18634.
LaTeX Warning: Hyper reference `optimizations:term-merge' on page 294 undefined
on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-constant-folding' on page 29
4 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-gpu-transfer' on page 294 un
defined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-shape-promotion' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-fill-cut' on page 294 undefi
ned on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inc-subtensor-serialization'
on page 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-reshape-chain' on page 294 u
ndefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-constant-elimination' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-add-canonicalization' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-mul-canonicalization' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-dot22' on page 294 undefined
on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-sparse-dot' on page 294 unde
fined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-sum-scalar-mul' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-neg-neg' on page 294 undefin
ed on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-neg-div-neg' on page 294 und
efined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-add-specialization' on page
294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-mul-specialization' on page
294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-pow-specialization' on page
294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inplace-setsubtensor' on pag
e 294 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-gemm' on page 294 undefined
on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inplace-elemwise' on page 29
4 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-inplace-random' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-elemwise-fusion' on page 294
undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-local-log-softmax' on page 2
94 undefined on input line 18634.
LaTeX Warning: Hyper reference `optimizations:term-local-remove-all-assert' on
page 294 undefined on input line 18634.
[294]
LaTeX Warning: Hyper reference `glossary:term-apply' on page 295 undefined on i
nput line 18646.
[295]
Underfull \hbox (badness 10000) in paragraph at lines 18685--18686
[]\T1/pcr/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) ->
Underfull \hbox (badness 10000) in paragraph at lines 18689--18691
[]\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 18720.
Underfull \hbox (badness 10000) in paragraph at lines 18731--18733
[]\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 18878.
LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval
ue.shared' on page 298 undefined on input line 18880.
[298]
Underfull \hbox (badness 10000) in paragraph at lines 18897--18905
[]\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 18937.
Underfull \hbox (badness 10000) in paragraph at lines 18976--18976
[]\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 18983.
[299]
LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval
ue.shared' on page 300 undefined on input line 19019.
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.function' on page 300 undefined on input line 19038.
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.In' on page 300 undefined on input line 19054.
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.Out' on page 300 undefined on input line 19054.
LaTeX Warning: Hyper reference `tutorial/examples:basictutexamples' on page 300
undefined on input line 19055.
LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 300 undefin
ed on input line 19055.
[300]
Underfull \hbox (badness 7238) in paragraph at lines 19152--19152
[]\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 19196--19196
[]\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 19196--19196
\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 19196--19196
\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 19196--19196
\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 19197.
[301]
Underfull \hbox (badness 10000) in paragraph at lines 19201--19204
[]\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 19212--19214
[]\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 19216--19220
[]\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 19216--19220
\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 19266.
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.In' on page 303 undefined on input line 19276.
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.Out' on page 303 undefined on input line 19278.
LaTeX Warning: Hyper reference `library/config::doc' on page 303 undefined on i
nput line 19282.
Underfull \hbox (badness 10000) in paragraph at lines 19311--19311
[]\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19348--19348
[]\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 19348--19348
\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 19511--19517
[]\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 19875.
LaTeX Warning: Hyper reference `library/compile/ops:theano.compile.ops.as_op' o
n page 311 undefined on input line 19875.
[311] [312] [313] [314] [315] [316] [317] [318] [319] [320] [321] [322]
Underfull \hbox (badness 10000) in paragraph at lines 21010--21010
[]\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 21010--21010
\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 21094.
LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 32
4 undefined on input line 21106.
LaTeX Warning: Hyper reference `library/compile/nanguardmode:nanguardmode' on p
age 324 undefined on input line 21109.
LaTeX Warning: Hyper reference `library/config:config.mode' on page 324 undefin
ed on input line 21117.
LaTeX Warning: Hyper reference `library/index:theano.function' on page 324 unde
fined on input line 21118.
[324]
LaTeX Warning: Hyper reference `library/compile/mode:theano.compile.mode.Mode.o
ptimizer' on page 325 undefined on input line 21150.
LaTeX Warning: Hyper reference `library/compile/mode:theano.compile.mode.Mode.l
inker' on page 325 undefined on input line 21158.
LaTeX Warning: Hyper reference `library/config:config.mode' on page 325 undefin
ed on input line 21224.
[325] [326]
Underfull \hbox (badness 10000) in paragraph at lines 21347--21347
[]\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 21347--21347
\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 21415.
LaTeX Warning: Hyper reference `extending/inplace:views' on page 328 undefined
on input line 21427.
[328]
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
[]\T1/ptm/m/it/10.95 nan_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 inf_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 big_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\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 21558.
LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 330
undefined on input line 21569.
LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 330 und
efined on input line 21572.
LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 330 und
efined on input line 21593.
[330]
LaTeX Warning: Hyper reference `library/config:config.force_device' on page 331
undefined on input line 21667.
LaTeX Warning: Hyper reference `library/config:config.device' on page 331 undef
ined on input line 21685.
LaTeX Warning: Hyper reference `library/config:config.device' on page 331 undef
ined on input line 21705.
LaTeX Warning: Hyper reference `library/config:config.device' on page 331 undef
ined on input line 21706.
[331]
LaTeX Warning: Hyper reference `library/config:config.config.gpuarray.prealloca
te' on page 332 undefined on input line 21794.
[332]
LaTeX Warning: Hyper reference `library/config:config.allow_gc' on page 333 und
efined on input line 21822.
LaTeX Warning: Hyper reference `library/config:config.config.scan.allow_gc' on
page 333 undefined on input line 21822.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
LaTeX Warning: Hyper reference `library/config:config.cycle_detection' on page
333 undefined on input line 21848.
LaTeX Warning: Hyper reference `library/config:config.cycle_detection' on page
333 undefined on input line 21849.
LaTeX Warning: Hyper reference `library/config:config.check_stack_trace' on pag
e 333 undefined on input line 21867.
LaTeX Warning: Hyper reference `library/config:config.check_stack_trace' on pag
e 333 undefined on input line 21868.
LaTeX Warning: Hyper reference `library/config:config.check_stack_trace' on pag
e 333 undefined on input line 21872.
[333]
LaTeX Warning: Hyper reference `library/config:config.int_division' on page 334
undefined on input line 21926.
LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 334 u
ndefined on input line 21985.
[334] [335] [336]
LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 337 undefin
ed on input line 22214.
[337]
Overfull \hbox (108.91849pt too wide) in paragraph at lines 22330--22331
\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 22439.
LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_
filter' on page 339 undefined on input line 22447.
LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_
data' on page 339 undefined on input line 22448.
Underfull \hbox (badness 10000) in paragraph at lines 22447--22449
\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 22456--22460
\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 22463--22465
[]\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 22472.
LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_
data' on page 339 undefined on input line 22473.
Underfull \hbox (badness 10000) in paragraph at lines 22472--22474
\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 22481--22484
\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 22487--22489
[]\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 22496--22500
\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 22885.
[343] [344] [345] [346]
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 347 undefined on input line 23186.
LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.d3viz.d3viz' o
n page 347 undefined on input line 23208.
LaTeX Warning: Hyper reference `library/d3viz/index:module-theano.d3viz.d3viz'
on page 347 undefined on input line 23209.
[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 23302.
[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 23410.
LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.formatting.PyD
otFormatter' on page 352 undefined on input line 23424.
Underfull \hbox (badness 5939) in paragraph at lines 23423--23425
\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 23436.
LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.formatting.PyD
otFormatter' on page 352 undefined on input line 23447.
Underfull \hbox (badness 5939) in paragraph at lines 23446--23448
\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 23544.
[353]
LaTeX Warning: Hyper reference `glossary:term-apply' on page 354 undefined on i
nput line 23580.
[354] [355]
LaTeX Warning: Hyper reference `glossary:term-constant' on page 356 undefined o
n input line 23771.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 356 undefined o
n input line 23830.
[356]
Overfull \vbox (3.25508pt too high) detected at line 23942
[357]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable.eva
l' on page 358 undefined on input line 23995.
[358]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable.eva
l' on page 359 undefined on input line 24002.
Underfull \hbox (badness 10000) in paragraph at lines 24047--24047
[]\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=<class 'str'>\T1/ptm/m/n/10.95 ,
[359]
Underfull \hbox (badness 10000) in paragraph at lines 24123--24123
[]\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 24161--24161
[]\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 24161--24161
\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 24398--24398
[]\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=<class 'str'>\T1/ptm/m/n/10.95 ,
[362] [363] [364]
Underfull \hbox (badness 10000) in paragraph at lines 24652--24654
[]\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 24834.
[367]
Underfull \hbox (badness 10000) in paragraph at lines 24996--24996
\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 25020.
[369] [370] [371]
Underfull \hbox (badness 10000) in paragraph at lines 25262--25264
[]\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 25373.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p
age 373 undefined on input line 25394.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p
age 373 undefined on input line 25401.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p
age 373 undefined on input line 25401.
Underfull \hbox (badness 10000) in paragraph at lines 25403--25404
[]\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 25725.
[376]
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p
age 377 undefined on input line 25732.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p
age 377 undefined on input line 25744.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p
age 377 undefined on input line 25751.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p
age 377 undefined on input line 25769.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.CEnumType' on
page 377 undefined on input line 25772.
[377]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Overfull \vbox (1.22041pt too high) detected at line 25872
[378] [379] [380] [381] [382] [383]
LaTeX Warning: Hyper reference `glossary:term-type' on page 384 undefined on in
put line 26370.
LaTeX Warning: Hyper reference `glossary:term-constant' on page 384 undefined o
n input line 26385.
[384]
LaTeX Warning: Hyper reference `glossary:term-variable' on page 385 undefined o
n input line 26420.
[385] [386]
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.PureType.Varia
ble.eval' on page 387 undefined on input line 26585.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.PureType.Varia
ble.eval' on page 387 undefined on input line 26592.
[387] [388]
LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type.
ParamsType' on page 389 undefined on input line 26820.
LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type.
Params' on page 389 undefined on input line 26821.
LaTeX Warning: Hyper reference `extending/using_params:extending-op-params' on
page 389 undefined on input line 26827.
[389]
Underfull \hbox (badness 10000) in paragraph at lines 26878--26880
[]\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 26885.
[390]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p
age 391 undefined on input line 26920.
[391] [392]
LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type.
Params' on page 393 undefined on input line 27099.
[393] [394] [395]
Underfull \hbox (badness 10000) in paragraph at lines 27292--27294
[]\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 27720.
[400] [401] [402] [403] [404] [405] [406] [407] [408] [409] [410] [411]
[412] [413] [414] [415] [416] [417]
Underfull \hbox (badness 10000) in paragraph at lines 29471--29471
[]\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-
[418]
Underfull \hbox (badness 10000) in paragraph at lines 29504--29506
[]\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
[419]
Underfull \hbox (badness 10000) in paragraph at lines 29578--29578
[]\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 5119) in paragraph at lines 29625--29625
[]\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 29626--29631
\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 29646--29651
[]\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
[420]
Underfull \hbox (badness 10000) in paragraph at lines 29745--29745
[]\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 29745--29745
\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 ,
[421]
Underfull \hbox (badness 10000) in paragraph at lines 29816--29821
[]\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
[422] [423]
Underfull \hbox (badness 10000) in paragraph at lines 29973--29973
[]\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 29973--29973
\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 ,
[424]
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v.conv2d' on page 425 undefined on input line 30019.
Underfull \hbox (badness 10000) in paragraph at lines 30085--30085
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30085--30085
\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 10000) in paragraph at lines 30153--30153
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 6220) in paragraph at lines 30153--30153
\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 ,
[426]
Underfull \hbox (badness 5756) in paragraph at lines 30221--30221
\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-
[427]
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v.conv2d' on page 428 undefined on input line 30272.
Underfull \hbox (badness 10000) in paragraph at lines 30338--30338
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30338--30338
\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 30338--30338
\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 30338--30338
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[428]
Underfull \hbox (badness 10000) in paragraph at lines 30406--30406
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30406--30406
\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 30406--30406
\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 30406--30406
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[429] [430] [431] [432] [433] [434] [435] [436]
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.elemwise.Gp
uCAReduceCPY' on page 437 undefined on input line 31085.
Underfull \hbox (badness 10000) in paragraph at lines 31092--31092
[]\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 31092--31092
\T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 ,
[437]
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi
on' on page 438 undefined on input line 31158.
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
[]\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 31246--31246
\T1/ptm/m/it/10.95 re-duce_mask=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
\T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
\T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 ,
[438] [439]
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi
on' on page 440 undefined on input line 31358.
[440] [441]
Underfull \hbox (badness 5924) in paragraph at lines 31546--31546
[]\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 31546--31546
\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 ,
[442] [443]
Underfull \hbox (badness 10000) in paragraph at lines 31766--31766
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[444]
Underfull \hbox (badness 10000) in paragraph at lines 31845--31845
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[445]
Overfull \hbox (37.40398pt too wide) in paragraph at lines 31943--31943
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (91.124pt too wide) in paragraph at lines 31943--31943
\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 31975--31975
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (45.13405pt too wide) in paragraph at lines 31975--31975
\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 31991--31991
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (51.70404pt too wide) in paragraph at lines 31991--31991
\T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 )
[446] [447] [448]
Overfull \hbox (37.40398pt too wide) in paragraph at lines 32215--32215
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (91.124pt too wide) in paragraph at lines 32215--32215
\T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 )
[449] [450]
Overfull \hbox (4.3459pt too wide) in paragraph at lines 32437--32437
[]\T1/ptm/m/it/10.95 sparse_grad=False\T1/pcr/m/n/10.95 )
[451] [452] [453]
Underfull \hbox (badness 10000) in paragraph at lines 32685--32685
[]\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 32685--32685
\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 32685--32685
\T1/ptm/m/it/10.95 de-stroy-han-
Overfull \hbox (4.18106pt too wide) in paragraph at lines 32685--32685
\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 454 undefined on input line 32692.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.subtensor.G
puIncSubtensor.copy_of_x' on page 454 undefined on input line 32693.
[454] [455] [456] [457]
Underfull \hbox (badness 10000) in paragraph at lines 33116--33116
[]\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 ,
[458] [459] [460] [461] [462] [463] [464] [465]
Underfull \hbox (badness 7522) in paragraph at lines 33861--33865
[]\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 ,
[466] [467]
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co
nv' on page 468 undefined on input line 34012.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co
nv3d' on page 468 undefined on input line 34012.
Underfull \hbox (badness 10000) in paragraph at lines 34012--34013
[]\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 468 undefined on input line 34015.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr
adweight3d' on page 468 undefined on input line 34015.
Underfull \hbox (badness 10000) in paragraph at lines 34015--34016
[]\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 468 undefined on input line 34018.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr
adinput3d' on page 468 undefined on input line 34018.
Underfull \hbox (badness 10000) in paragraph at lines 34018--34019
[]\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 468 undefined on input line 34027.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba
tch_normalization_train' on page 468 undefined on input line 34036.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba
tch_normalization_test' on page 468 undefined on input line 34039.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.RNNBlo
ck' on page 468 undefined on input line 34048.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.GpuDnn
Softmax' on page 468 undefined on input line 34057.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_sp
atialtf' on page 468 undefined on input line 34066.
[468] [469] [470]
Underfull \hbox (badness 10000) in paragraph at lines 34291--34293
[]\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
[471] [472]
Underfull \hbox (badness 10000) in paragraph at lines 34480--34482
[]\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
[473]
Underfull \hbox (badness 10000) in paragraph at lines 34536--34536
[]\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 34536--34536
\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 34536--34536
\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 34536--34536
\T1/ptm/m/it/10.95 place_running_var=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9
5 in-
Underfull \hbox (badness 10000) in paragraph at lines 34576--34576
[]\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-
[474]
Underfull \hbox (badness 10000) in paragraph at lines 34601--34601
[]\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 34646--34648
[]\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 475 undefined on input line 34684.
[475] [476]
Underfull \hbox (badness 10000) in paragraph at lines 34807--34809
[]\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 34846--34846
[]\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 34860--34862
[]\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 34884--34884
[]\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 ,
[477]
Underfull \hbox (badness 10000) in paragraph at lines 34898--34900
[]\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 34898--34900
\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',
Underfull \hbox (badness 10000) in paragraph at lines 34963--34964
[]\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
[478]
Underfull \hbox (badness 10000) in paragraph at lines 35007--35008
[]\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
[479] [480]
Underfull \hbox (badness 10000) in paragraph at lines 35168--35170
[]\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 35227--35228
[]\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
[481] [482]
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.GpuDnn
TransformerGrid' on page 483 undefined on input line 35462.
Underfull \hbox (badness 10000) in paragraph at lines 35491--35491
[]\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 35491--35491
\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 35491--35491
\T1/ptm/m/it/10.95 rec-tion_mode='unidirectional'\T1/ptm/m/n/10.95 , \T1/ptm/m/
it/10.95 con-
[483]
Underfull \hbox (badness 10000) in paragraph at lines 35508--35510
[]\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 35525--35527
[]\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
LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA
rraySharedVariable' on page 484 undefined on input line 35582.
Underfull \hbox (badness 10000) in paragraph at lines 35602--35602
[]\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 35602--35602
\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 35602--35602
\T1/ptm/m/it/10.95 activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep-
[484]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Underfull \hbox (badness 10000) in paragraph at lines 35661--35661
[]\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 35661--35661
\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 35661--35661
\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 35661--35661
\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 35661--35661
\T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 ,
[485]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
[486]
Underfull \hbox (badness 10000) in paragraph at lines 35755--35755
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35795--35798
[]\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 35795--35798
\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 35800--35804
[]\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 ,
[487]
Underfull \hbox (badness 8113) in paragraph at lines 35824--35824
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35869--35873
[]\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 ,
[488]
Underfull \hbox (badness 10000) in paragraph at lines 35893--35893
\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 35901--35901
[]\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 35901--35901
\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 35909--35909
\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 35909--35909
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35917--35917
[]\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 35944--35945
[]\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 ,
[489] [490] [491]
Underfull \hbox (badness 10000) in paragraph at lines 36174--36174
\T1/ptm/m/it/10.95 al-low_downcast=None\T1/ptm/m/n/10.95 ,
[492 <./plot_fft.png>]
Underfull \hbox (badness 10000) in paragraph at lines 36202--36203
[]\T1/pcr/b/n/10.95 with borrow=False and return_internal_type=True does
Underfull \hbox (badness 10000) in paragraph at lines 36208--36209
[]\T1/pcr/b/n/10.95 in that case, you may get different return types
Underfull \hbox (badness 10000) in paragraph at lines 36231--36232
[]\T1/pcr/b/n/10.95 to this value will be visible to all functions using
[493]
Underfull \hbox (badness 10000) in paragraph at lines 36285--36285
[]\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-
LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.PureType' on p
age 494 undefined on input line 36401.
[494]
LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA
rrayConstant' on page 495 undefined on input line 36408.
LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA
rraySharedVariable' on page 495 undefined on input line 36416.
LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA
rrayVariable' on page 495 undefined on input line 36424.
[495] [496]
Underfull \hbox (badness 10000) in paragraph at lines 36678--36680
[]\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
[497]
LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA
rrayType.context_name' on page 498 undefined on input line 36724.
[498] [499] [500] [501]
LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.reg_
context' on page 502 undefined on input line 37116.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 502 undefined on input line 37135.
Underfull \hbox (badness 10000) in paragraph at lines 37144--37144
[]\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 37144--37144
\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 37144--37144
\T1/ptm/m/it/10.95 low_downcast=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37144--37144
\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 37144--37144
\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 502 undefi
ned on input line 37147.
[502]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 503 undefined on input line 37176.
[503] [504] [505] [506]
Underfull \hbox (badness 10000) in paragraph at lines 37570--37570
[]\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 37570--37570
\T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 6110) in paragraph at lines 37570--37570
\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 37570--37570
\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 37570--37570
\T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37570--37570
\T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 ,
Overfull \hbox (14.06978pt too wide) in paragraph at lines 37570--37570
\T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 )
[507]
Underfull \hbox (badness 6842) in paragraph at lines 37675--37675
[]\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 37675--37675
\T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 sm_stride\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 write_sm\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 thread-Pos\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 thread-
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 ,
Overfull \hbox (20.63977pt too wide) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 )
[508] [509]
LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc'
on page 510 undefined on input line 37803.
[510]
Overfull \hbox (81.80635pt too wide) in paragraph at lines 37859--37859
[]\T1/ptm/m/it/10.95 compute_grad=True\T1/pcr/m/n/10.95 )
[511]
Underfull \hbox (badness 10000) in paragraph at lines 37965--37965
[]\T1/ptm/m/it/10.95 lower=True\T1/ptm/m/n/10.95 ,
[512]
Underfull \hbox (badness 10000) in paragraph at lines 38046--38046
[]\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 ,
[513]
Underfull \hbox (badness 10000) in paragraph at lines 38203--38205
[]\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
[514]
Underfull \hbox (badness 10000) in paragraph at lines 38260--38261
[]\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 515 undefined on input line 38309.
Underfull \hbox (badness 10000) in paragraph at lines 38326--38326
[]\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 515 undefined on input line 38331.
[515] [516]
Underfull \hbox (badness 10000) in paragraph at lines 38557--38557
[]\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-
[517]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 518 undefined on input line 38565.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 518 undefined on input line 38569.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 518 undefined on input line 38573.
Underfull \hbox (badness 10000) in paragraph at lines 38603--38603
[]\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 518 undefined on input line 38611.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 518 undefined on input line 38615.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 518 undefined on input line 38619.
[518]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 519 undefined on input line 38666.
[519]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 520 undefined on input line 38802.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 520 undefined on input line 38810.
LaTeX Warning: Hyper reference `library/gradient:module-gradient' on page 520 u
ndefined on input line 38837.
LaTeX Warning: Hyper reference `extending/op:grad' on page 520 undefined on inp
ut line 38838.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 520 undefined on input line 38842.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 520 undefined on input line 38846.
[520] [521]
Underfull \hbox (badness 10000) in paragraph at lines 39034--39034
[]\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-
[522]
Underfull \hbox (badness 10000) in paragraph at lines 39040--39041
[]\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
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 523 undefined on input line 39075.
Underfull \hbox (badness 10000) in paragraph at lines 39084--39084
[]\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 523 undefined on input line 39089.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 523 undefined on input line 39092.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 523 undefined on input line 39124.
[523]
Overfull \vbox (1.22057pt too high) detected at line 39241
[524] [525]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 526 undefined on input line 39306.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 526 undefined on input line 39312.
Underfull \hbox (badness 10000) in paragraph at lines 39321--39321
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 39371--39374
[]\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
[526]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 527 undefined on input line 39403.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 527 undefined on input line 39410.
LaTeX Warning: Hyper reference `tutorial/gradients:tutcomputinggrads' on page 5
27 undefined on input line 39420.
[527]
Underfull \hbox (badness 10000) in paragraph at lines 39550--39550
[]\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=4\T1/ptm/m/n/10.95 , \T1/ptm/m/it
/10.95 per-sis-tent_id=<class
[528]
Overfull \hbox (68.19234pt too wide) in paragraph at lines 39605--39605
[]\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 per-sis-tent_load=
<class 'theano.misc.pkl_utils.PersistentNdarrayLoad'>\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 39628--39628
[]\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-
[529]
Underfull \hbox (badness 10000) in paragraph at lines 39651--39651
[]\T1/ptm/m/it/10.95 file\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 *\T1/ptm/m/n/10
.95 , \T1/ptm/m/it/10.95 fix_imports=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95
en-
Underfull \hbox (badness 10000) in paragraph at lines 39651--39651
\T1/ptm/m/it/10.95 cod-ing='ASCII'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 er-ror
s='strict'\T1/ptm/m/n/10.95 ,
LaTeX Warning: Hyper reference `tutorial/loading_and_saving:tutorial-loadsave'
on page 530 undefined on input line 39673.
LaTeX Warning: Hyper reference `library/printing:theano.printing.Print' on page
530 undefined on input line 39688.
[530]
LaTeX Warning: Hyper reference `library/printing:theano.printing.theano.pp' on
page 531 undefined on input line 39711.
LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on
page 531 undefined on input line 39712.
LaTeX Warning: Hyper reference `library/printing:theano.printing.pp' on page 53
1 undefined on input line 39714.
LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on
page 531 undefined on input line 39714.
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 531 undefined on input line 39715.
LaTeX Warning: Hyper reference `library/printing:theano.printing.theano.pp' on
page 531 undefined on input line 39721.
LaTeX Warning: Hyper reference `library/printing:theano.printing.pp' on page 53
1 undefined on input line 39749.
LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on
page 531 undefined on input line 39758.
[531]
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 532 undefined on input line 39822.
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 532 undefined on input line 39835.
LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on
page 532 undefined on input line 39840.
[532] [533]
LaTeX Warning: Hyper reference `library/printing:theano.printing.pp' on page 53
4 undefined on input line 39967.
Underfull \hbox (badness 10000) in paragraph at lines 39982--39982
[]\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 39982--39982
\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 39982--39982
\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 39982--39982
\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 39982--39982
\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 ,
[534] [535] [536]
LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:libdoc-tensor-nn
et-neighbours' on page 537 undefined on input line 40284.
[537] [538]
Underfull \hbox (badness 10000) in paragraph at lines 40464--40464
[]\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 40490--40491
[]\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
[539]
Underfull \hbox (badness 10000) in paragraph at lines 40493--40494
[]\T1/pcr/b/n/10.95 result in [[0],[2]] When setting size=2, this
[540]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 541 undefined on input line 40593.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 541 undefined on input line 40652.
[541]
LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:theano.sandbox.rng_mrg.
MRG_RandomStreams.normal' on page 542 undefined on input line 40660.
[542] [543] [544] [545] [546] [547]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
[548] [549]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
[550] [551] [552] [553]
LaTeX Warning: Hyper reference `library/scan:lib-scan-shared-variables' on page
554 undefined on input line 41506.
LaTeX Warning: Hyper reference `library/scan:lib-scan-strict' on page 554 undef
ined on input line 41507.
[554] [555] [556]
Overfull \vbox (1.48381pt too high) detected at line 41803
[557] [558] [559] [560]
Underfull \hbox (badness 10000) in paragraph at lines 42089--42089
[]\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 561 undefined
on input line 42092.
[561]
LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 562 undefined
on input line 42125.
LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 562 undefined
on input line 42166.
LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 562 undefined
on input line 42181.
[562]
LaTeX Warning: Hyper reference `tutorial/sparse:tutsparse' on page 563 undefine
d on input line 42191.
[563] [564]
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dense_
from_sparse' on page 565 undefined on input line 42320.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csr_fr
om_dense' on page 565 undefined on input line 42324.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csc_fr
om_dense' on page 565 undefined on input line 42325.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dense_
from_sparse' on page 565 undefined on input line 42330.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.CSM' o
n page 565 undefined on input line 42339.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_pr
operties' on page 565 undefined on input line 42343.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sp_one
s_like' on page 565 undefined on input line 42351.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sp_zer
os_like' on page 565 undefined on input line 42355.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.square
_diagonal' on page 565 undefined on input line 42359.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.constr
uct_sparse_from_list' on page 565 undefined on input line 42363.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.cast'
on page 565 undefined on input line 42373.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.transp
ose' on page 565 undefined on input line 42384.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.neg' o
n page 565 undefined on input line 42394.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.eq' on
page 565 undefined on input line 42398.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.neq' o
n page 565 undefined on input line 42401.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.gt' on
page 565 undefined on input line 42404.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.ge' on
page 565 undefined on input line 42407.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.lt' on
page 565 undefined on input line 42410.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.le' on
page 565 undefined on input line 42413.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.add' o
n page 565 undefined on input line 42416.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sub' o
n page 565 undefined on input line 42420.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.mul' o
n page 565 undefined on input line 42424.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.col_sc
ale' on page 565 undefined on input line 42428.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.row_sc
ale' on page 565 undefined on input line 42432.
[565]
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dot' o
n page 566 undefined on input line 42528.
[566]
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.struct
ured_dot' on page 567 undefined on input line 42545.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.true_d
ot' on page 567 undefined on input line 42567.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sampli
ng_dot' on page 567 undefined on input line 42590.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.usmm'
on page 567 undefined on input line 42610.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dot' o
n page 567 undefined on input line 42616.
[567]
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.diag'
on page 568 undefined on input line 42656.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.hstack
' on page 568 undefined on input line 42666.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.vstack
' on page 568 undefined on input line 42670.
Underfull \hbox (badness 10000) in paragraph at lines 42685--42687
[]\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 568 undefined on input line 42700.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.remove
0' on page 568 undefined on input line 42703.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.clean'
on page 568 undefined on input line 42706.
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.tests.test_b
asic.sparse_random_inputs' on page 568 undefined on input line 42715.
[568] [569] [570] [571] [572] [573]
Underfull \hbox (badness 10000) in paragraph at lines 43298--43299
[]\T1/pcr/b/n/10.95 create a sparse matrix with the same shape as x. Its
[574] [575] [576] [577] [578] [579] [580] [581] [582] [583] [584] [585]
Underfull \hbox (badness 10000) in paragraph at lines 44505--44505
[]\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 ,
[586] [587] [588] [589] [590] [591] [592] [593] [594]
LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.CSMGra
d' on page 595 undefined on input line 45375.
[595] [596] [597] [598] [599] [600] [601] [602] [603] [604] [605]
Underfull \hbox (badness 10000) in paragraph at lines 46398--46398
\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 46398--46398
\T1/ptm/m/it/10.95 sorted_indices=False\T1/pcr/m/n/10.95 )
[606] [607] [608] [609] [610] [611]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 612 undefined on input line 46933.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType'
on page 612 undefined on input line 46934.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 612 undefined on input line 46939.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType'
on page 612 undefined on input line 46939.
[612] [613] [614]
Package longtable Warning: Column widths have changed
(longtable) in table 1 on input line 47983.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType'
on page 615 undefined on input line 48049.
[615]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType'
on page 616 undefined on input line 48069.
LaTeX Warning: Hyper reference `glossary:term-shared-variable' on page 616 unde
fined on input line 48082.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 616 undefined on input line 48091.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 616 undefined on input line 48092.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorConsta
nt' on page 616 undefined on input line 48094.
LaTeX Warning: Hyper reference `library/config:module-config' on page 616 undef
ined on input line 48113.
[616]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab
le' on page 617 undefined on input line 48137.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorConsta
nt' on page 617 undefined on input line 48137.
LaTeX Warning: Hyper reference `extending/graphstructures:tutorial-graphfigure'
on page 617 undefined on input line 48153.
LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page
617 undefined on input line 48161.
[617]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType'
on page 618 undefined on input line 48392.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o
perators' on page 618 undefined on input line 48408.
[618]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o
perators' on page 619 undefined on input line 48419.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o
perators' on page 619 undefined on input line 48431.
LaTeX Warning: Hyper reference `library/tensor/basic:tensor-operator-support' o
n page 619 undefined on input line 48443.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType'
on page 619 undefined on input line 48448.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType.n
dim' on page 619 undefined on input line 48458.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType.d
type' on page 619 undefined on input line 48467.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.reshape' on
page 619 undefined on input line 48481.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.flatten' on
page 619 undefined on input line 48534.
[619] [620] [621] [622] [623] [624]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o
perators.dimshuffle' on page 625 undefined on input line 49155.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast'
on page 625 undefined on input line 49200.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast'
on page 625 undefined on input line 49215.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast'
on page 625 undefined on input line 49230.
[625]
Underfull \hbox (badness 10000) in paragraph at lines 49277--49280
[]\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 49311--49314
[]\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
[626]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.reshape' on
page 627 undefined on input line 49366.
LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op
s.repeat' on page 627 undefined on input line 49410.
[627] [628] [629]
Underfull \hbox (badness 10000) in paragraph at lines 49682--49683
[630] [631] [632]
Underfull \hbox (badness 10000) in paragraph at lines 49917--49919
[]\T1/ptm/m/n/10.95 older:
Overfull \hbox (1.23325pt too wide) in paragraph at lines 49944--49946
[]
[633] [634]
Underfull \hbox (badness 10000) in paragraph at lines 50089--50089
[]\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 ,
[635]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.sum' on page
636 undefined on input line 50200.
[636] [637]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.set_subtenso
r' on page 638 undefined on input line 50400.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.inc_subtenso
r' on page 638 undefined on input line 50400.
[638]
LaTeX Warning: Hyper reference `glossary:term-shared-variable' on page 639 unde
fined on input line 50509.
LaTeX Warning: Hyper reference `library/index:theano.function' on page 639 unde
fined on input line 50510.
[639]
Underfull \hbox (badness 5548) in paragraph at lines 50524--50526
[]\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,
[640] [641] [642] [643]
LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page
644 undefined on input line 51055.
[644] [645] [646]
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.tensordot' o
n page 647 undefined on input line 51328.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.batched_dot'
on page 647 undefined on input line 51328.
[647]
LaTeX Warning: Hyper reference `library/gradient:module-gradient' on page 648 u
ndefined on input line 51409.
LaTeX Warning: Hyper reference `extending/op:grad' on page 648 undefined on inp
ut line 51410.
[648]
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 649 undefined on input line 51414.
LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on
page 649 undefined on input line 51418.
LaTeX Warning: Hyper reference `library/gradient:libdoc-gradient' on page 649 u
ndefined on input line 51497.
[649]
LaTeX Warning: Hyper reference `library/tensor/signal/conv:theano.tensor.signal
.conv.conv2d' on page 650 undefined on input line 51514.
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v2d' on page 650 undefined on input line 51515.
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v2d' on page 650 undefined on input line 51527.
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v3d' on page 650 undefined on input line 51530.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:libdoc-gpuarray-dnn' on pa
ge 650 undefined on input line 51536.
Underfull \hbox (badness 10000) in paragraph at lines 51543--51546
[]\T1/ptm/m/n/10.95 Either cuDNN and the gemm ver-sion can be dis-abled us-ing
the Theano flags
[650]
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v.conv2d' on page 651 undefined on input line 51586.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.blas.GpuCor
rMM' on page 651 undefined on input line 51590.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co
nv' on page 651 undefined on input line 51608.
LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.blas.GpuCor
r3dMM' on page 651 undefined on input line 51618.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co
nv3d' on page 651 undefined on input line 51633.
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co
nv' on page 651 undefined on input line 51634.
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v3d2d.conv3d' on page 651 undefined on input line 51640.
[651]
Underfull \hbox (badness 10000) in paragraph at lines 51673--51677
[]\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 51679--51683
[]\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 51685--51687
[]\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 51691--51693
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 51694--51698
[]
Underfull \hbox (badness 10000) in paragraph at lines 51699--51701
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 51702--51704
[]
Underfull \hbox (badness 10000) in paragraph at lines 51705--51708
[]\T1/ptm/m/n/10.95 pad
Underfull \hbox (badness 10000) in paragraph at lines 51723--51724
[]\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
[652]
Underfull \hbox (badness 10000) in paragraph at lines 51739--51740
[]\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 51768--51768
[]\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 51768--51768
\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 51768--51768
\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 51787--51789
[]\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 51791--51795
[]\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
[653] [654]
Underfull \hbox (badness 10000) in paragraph at lines 51870--51874
[]\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 51876--51880
[]\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 51888--51890
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 51891--51895
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 51896--51898
[]\T1/ptm/m/n/10.95 width, then
[655]
Underfull \hbox (badness 10000) in paragraph at lines 51950--51950
[]\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-
[656]
Underfull \hbox (badness 8019) in paragraph at lines 52026--52030
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 52073--52073
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 sub-sam-ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 52073--52073
\T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 657 undefined on input line 52075.
[657]
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\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 52167--52167
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\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 658 undefined on input line 52169.
Overfull \hbox (44.07277pt too wide) in paragraph at lines 52177--52177
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.98465pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (67.66975pt too wide) in paragraph at lines 52177--52177
\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 52177--52177
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (17.30025pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (46.51445pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (55.6356pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (54.53018pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 un-
Overfull \hbox (51.54047pt too wide) in paragraph at lines 52177--52177
\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 52179.
[658]
Overfull \hbox (50.64276pt too wide) in paragraph at lines 52194--52194
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (44.55464pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (74.23975pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (23.87024pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (53.08444pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (62.2056pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (61.10017pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 un-
Overfull \hbox (58.11046pt too wide) in paragraph at lines 52194--52194
\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 659 undefined on input line 52196.
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 52211--52211
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 52211--52211
\T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 659 undefined on input line 52213.
[659]
Overfull \hbox (44.07277pt too wide) in paragraph at lines 52221--52221
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.98465pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (67.66975pt too wide) in paragraph at lines 52221--52221
\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 52221--52221
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (17.30025pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (46.51445pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (55.6356pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (58.36269pt too wide) in paragraph at lines 52221--52221
\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 660 undefined on input line 52223.
Overfull \hbox (50.64276pt too wide) in paragraph at lines 52238--52238
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (44.55464pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (74.23975pt too wide) in paragraph at lines 52238--52238
\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 52238--52238
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (23.87024pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (53.08444pt too wide) in paragraph at lines 52238--52238
\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 52238--52238
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (62.2056pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (64.93268pt too wide) in paragraph at lines 52238--52238
\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 660 undefined on input line 52240.
[660]
Overfull \hbox (10.9274pt too wide) in paragraph at lines 52255--52255
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Overfull \hbox (30.93279pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (24.84467pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (54.52977pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 sub-
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (18.15424pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (33.37447pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (56.4896pt too wide) in paragraph at lines 52255--52255
\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 52255--52255
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 un-
Overfull \hbox (38.40048pt too wide) in paragraph at lines 52255--52255
\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 661 undefined on input line 52257.
Overfull \hbox (17.49739pt too wide) in paragraph at lines 52319--52319
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.50278pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (31.41466pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (61.09976pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 sub-
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (24.72423pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (39.94446pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (63.05959pt too wide) in paragraph at lines 52319--52319
\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 52319--52319
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 un-
Overfull \hbox (44.97047pt too wide) in paragraph at lines 52319--52319
\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 661 undefined on input line 52321.
[661]
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (8.53983pt too wide) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (10.49965pt too wide) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 un-
[662]
Underfull \hbox (badness 10000) in paragraph at lines 52415--52417
[]\T1/ptm/m/n/10.95 Generates out-put of
[663]
Underfull \hbox (badness 10000) in paragraph at lines 52437--52439
[]\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 52470--52470
[]\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 52515--52520
[]\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)
[664]
Underfull \hbox (badness 10000) in paragraph at lines 52545--52545
[]\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 52577--52577
[]\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 52585--52587
[]\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 52608--52608
[]\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 52616--52618
[]\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*
[665]
Underfull \hbox (badness 10000) in paragraph at lines 52639--52639
[]\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 52639--52639
\T1/ptm/m/it/10.95 frac_ratio=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52639--52639
\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 52639--52639
\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 52639--52639
\T1/ptm/m/it/10.95 use_1D_kernel=True\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52654--52659
[]\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
[666]
Underfull \hbox (badness 10000) in paragraph at lines 52711--52712
[]\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 52736--52736
[]\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 52736--52736
\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 52736--52736
\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 52736--52736
\T1/ptm/m/it/10.95 fil-ter_dilation=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52736--52736
\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 52755--52761
[]\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/
[667]
Overfull \hbox (18.69075pt too wide) in paragraph at lines 52806--52806
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 ker-
Overfull \hbox (5.52887pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 out-
Overfull \hbox (6.14214pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (4.91574pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\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 52806--52806
\T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52811--52814
[]\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 52816--52819
[]\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 52821--52824
[]\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 52826--52830
[]\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 52832--52834
[]\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
[668]
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v2d' on page 669 undefined on input line 52873.
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
[]\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\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 52880--52880
\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 52880--52880
\T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (8.53983pt too wide) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\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 52880--52880
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 fil-
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 un-
[669]
Underfull \hbox (badness 10000) in paragraph at lines 52907--52914
[]\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 52923--52925
[]\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 52951--52954
[]\T1/ptm/m/n/10.95 pad in-put
[670]
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
[]\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 53016--53016
\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 53016--53016
\T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (15.10982pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (3.07567pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (1.97025pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 un-
[671]
Underfull \hbox (badness 10000) in paragraph at lines 53047--53049
[]\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 53075--53078
[]\T1/ptm/m/n/10.95 pad in-put
[672]
Underfull \hbox (badness 10000) in paragraph at lines 53159--53163
[]\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 53165--53169
[]\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 53177--53179
[]\T1/ptm/m/n/10.95 Generates
[673]
Underfull \hbox (badness 10000) in paragraph at lines 53180--53184
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 53185--53187
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
[]\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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 53239--53239
\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 53239--53239
\T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (8.53983pt too wide) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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 53239--53239
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 fil-
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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
,
[674]
Underfull \hbox (badness 10000) in paragraph at lines 53262--53269
[]\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/
[675]
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
[]\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 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (15.10982pt too wide) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (3.07567pt too wide) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53375--53380
[]\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/
[676]
Underfull \hbox (badness 10000) in paragraph at lines 53467--53467
[]\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 ,
[677]
Overfull \hbox (6.26228pt too wide) in paragraph at lines 53513--53513
[]\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 bor-
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\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 53513--53513
\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 53513--53513
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53522--53525
[]\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 53527--53530
[]\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)
[678]
Underfull \hbox (badness 10000) in paragraph at lines 53532--53536
[]\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 53538--53540
[]\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 53546--53547
[]\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 53549--53550
[]\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 53567--53567
[]\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (32.4221pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (31.19571pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.52524pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (0.78772pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 di-
Underfull \hbox (badness 10000) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 la-
Overfull \hbox (8.27748pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53575--53576
[]\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
[679]
Underfull \hbox (badness 10000) in paragraph at lines 53587--53588
[]\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 53590--53591
[]\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 53607--53607
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 bor-
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\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 53607--53607
\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 53607--53607
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 un-
Overfull \hbox (18.6905pt too wide) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53616--53619
[]\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 53621--53624
[]\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 53626--53630
[]\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 53632--53634
[]\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
[680]
Underfull \hbox (badness 10000) in paragraph at lines 53640--53641
[]\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 53643--53644
[]\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 53662--53662
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (38.9921pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (37.7657pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Overfull \hbox (10.09523pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (7.35771pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 di-
Overfull \hbox (3.4048pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 la-
Overfull \hbox (14.84747pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53671--53672
[]\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 53683--53684
[]\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 53686--53687
[]\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 53703--53703
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\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 53703--53703
\T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 )
[681]
Underfull \hbox (badness 10000) in paragraph at lines 53708--53711
[]\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 53713--53721
[]\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 53723--53727
[]\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 53729--53731
[]\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 53736--53737
[]\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\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 53759--53760
[]\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
[682]
Underfull \hbox (badness 10000) in paragraph at lines 53762--53763
[]\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 53771--53772
[]\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 53774--53775
[]\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 53791--53791
[]\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 53791--53791
\T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\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 53791--53791
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 point-
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\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 53791--53791
\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 53815--53819
[]\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
[683]
Underfull \hbox (badness 10000) in paragraph at lines 53821--53825
[]\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 53827--53831
[]\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 53840--53842
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 53843--53847
[]
Underfull \hbox (badness 10000) in paragraph at lines 53848--53850
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 53851--53853
[]\T1/ptm/m/n/10.95 and
Underfull \hbox (badness 10000) in paragraph at lines 53858--53861
[]
[684]
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
[]\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 53895--53895
\T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\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 53895--53895
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 point-
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\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 53895--53895
\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 53919--53923
[]\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 53925--53929
[]\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 53931--53935
[]\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
[685]
Underfull \hbox (badness 10000) in paragraph at lines 53944--53946
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 53947--53951
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 53952--53954
[]\T1/ptm/m/n/10.95 width, then
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.sigmoid' on page 686 undefined on input line 53999.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.ultra_fast_sigmoid' on page 686 undefined on input line 54002.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.hard_sigmoid' on page 686 undefined on input line 54005.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.softplus' on page 686 undefined on input line 54014.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.softmax' on page 686 undefined on input line 54017.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.softsign' on page 686 undefined on input line 54020.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.rel
u' on page 686 undefined on input line 54023.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.elu
' on page 686 undefined on input line 54026.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.sel
u' on page 686 undefined on input line 54029.
[686]
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.binary_crossentropy' on page 687 undefined on input line 54032.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.sigmoid_binary_crossentropy' on page 687 undefined on input line 54035.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.categorical_crossentropy' on page 687 undefined on input line 54038.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.h_s
oftmax' on page 687 undefined on input line 54041.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.ultra_fast_sigmoid' on page 687 undefined on input line 54066.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.hard_sigmoid' on page 687 undefined on input line 54066.
Underfull \hbox (badness 10000) in paragraph at lines 54083--54084
[]\T1/ptm/m/n/10.95 Precision: sig-moid(with or with-out amdlibm) > ul-tra_fast
_sigmoid >
[687]
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.sigmoid' on page 688 undefined on input line 54112.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.sigmoid' on page 688 undefined on input line 54123.
[688 <./sigmoid_prec.png>]
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.sigmoid' on page 689 undefined on input line 54152.
LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne
t.sigmoid' on page 689 undefined on input line 54163.
[689] [690]
Underfull \hbox (badness 10000) in paragraph at lines 54383--54385
[]\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]
Underfull \hbox (badness 10000) in paragraph at lines 54423--54425
[]\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e
-men-t-wise
[692] [693]
Underfull \hbox (badness 10000) in paragraph at lines 54560--54563
[]\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 54568--54573
[]\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
[694]
LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:theano.tensor.nn
et.neighbours.images2neibs' on page 695 undefined on input line 54662.
[695]
Underfull \hbox (badness 10000) in paragraph at lines 54691--54691
[]\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 ,
[696] [697]
LaTeX Warning: Hyper reference `library/tensor/basic:indexing' on page 698 unde
fined on input line 54843.
LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 698 undefined on
input line 54846.
Underfull \hbox (badness 10000) in paragraph at lines 54855--54855
[]\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 54855--54855
\T1/ptm/m/it/10.95 axes='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 54855--54855
\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 54855--54855
\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 54855--54855
\T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 ,
[698]
Underfull \hbox (badness 10000) in paragraph at lines 54953--54953
\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 ,
[699]
LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba
tch_normalization_train' on page 700 undefined on input line 55018.
[700] [701]
Underfull \hbox (badness 10000) in paragraph at lines 55148--55150
[]\T1/ptm/m/n/10.95 Which blocks
[702 <./blocksparse.png>] [703] [704] [705]
Overfull \hbox (77.97385pt too wide) in paragraph at lines 55452--55452
[]\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 55452--55452
\T1/ptm/m/it/10.95 openmp=None\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 5260) in paragraph at lines 55471--55473
[]\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 706 undefined on input line 5548
1.
[706] [707]
Underfull \hbox (badness 10000) in paragraph at lines 55678--55678
[]\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 55695--55695
[]\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 55712--55712
[]\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 ,
[708]
LaTeX Warning: Hyper reference `tutorial/examples:using-random-numbers' on page
709 undefined on input line 55787.
[709]
Overfull \hbox (77.18507pt too wide) in paragraph at lines 55794--55794
[]\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 710 undefined on input line 558
34.
[710]
LaTeX Warning: Hyper reference `library/tensor/signal/conv:theano.tensor.signal
.conv.conv2d' on page 711 undefined on input line 55897.
LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con
v.conv2d' on page 711 undefined on input line 55898.
Underfull \hbox (badness 10000) in paragraph at lines 55909--55909
[]\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 55909--55909
\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 55919--55920
[]\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 55922--55923
[]\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 711 undefined on input line 55968.
Underfull \hbox (badness 10000) in paragraph at lines 55974--55974
[]\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 ,
[711]
Underfull \hbox (badness 6741) in paragraph at lines 55986--55988
[]\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 55994--55998
[]\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 56005--56008
[]\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 56038--56040
[]\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 56050--56050
[]\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 56050--56050
\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 ,
[712]
Underfull \hbox (badness 6741) in paragraph at lines 56062--56064
[]\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 56070--56073
[]\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 56081--56084
[]\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 ,
[713] [714] [715]
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi
on' on page 716 undefined on input line 56320.
[716] [717]
Underfull \hbox (badness 10000) in paragraph at lines 56500--56500
[]\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-
[718] [719]
Underfull \hbox (badness 10000) in paragraph at lines 56667--56667
[]\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 56667--56667
\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 ,
[720]
LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi
on' on page 721 undefined on input line 56818.
[721] [722]
Underfull \hbox (badness 10000) in paragraph at lines 56975--56975
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[723]
Underfull \hbox (badness 10000) in paragraph at lines 57051--57051
[]\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 ,
[724]
Underfull \hbox (badness 10000) in paragraph at lines 57143--57143
[]\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 ,
[725] [726] [727] [728] [729] [730] [731]
LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op
s.searchsorted' on page 732 undefined on input line 57830.
LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op
s.searchsorted' on page 732 undefined on input line 57836.
[732] [733]
Underfull \hbox (badness 10000) in paragraph at lines 58018--58018
[]\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 ,
[734]
Underfull \hbox (badness 10000) in paragraph at lines 58174--58174
[]\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-
[735]
Underfull \hbox (badness 10000) in paragraph at lines 58190--58191
[]\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 58193--58194
[]\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 58196--58198
[]\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
[736] [737]
LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op
s.unravel_index' on page 738 undefined on input line 58432.
[738] [739]
LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op
s.ravel_multi_index' on page 740 undefined on input line 58649.
[740]
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.load' on pag
e 741 undefined on input line 58663.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.LoadFromDisk
' on page 741 undefined on input line 58663.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.isend' on pa
ge 741 undefined on input line 58671.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.irecv' on pa
ge 741 undefined on input line 58671.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.send' on pag
e 741 undefined on input line 58674.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.recv' on pag
e 741 undefined on input line 58674.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.load' on pag
e 741 undefined on input line 58690.
[741]
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPIRecv' on
page 742 undefined on input line 58756.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPIRecv' on
page 742 undefined on input line 58834.
[742]
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPIRecv' on
page 743 undefined on input line 58900.
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPISendWait'
on page 743 undefined on input line 58900.
[743]
LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPISend' on
page 744 undefined on input line 58966.
[744] [745] [746]
Underfull \hbox (badness 10000) in paragraph at lines 59264--59264
[]\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 ,
[747] [748] [749] [750] [751] [752] [753]
Underfull \hbox (badness 10000) in paragraph at lines 59891--59893
[]\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
[754]
Underfull \hbox (badness 10000) in paragraph at lines 60008--60010
\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-
[755]
Underfull \hbox (badness 10000) in paragraph at lines 60130--60130
[]\T1/ptm/m/it/10.95 OP\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 max_input_fct=<fu
nction
[756]
Underfull \hbox (badness 10000) in paragraph at lines 60190--60190
[]\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 el-em-wise=Tr
ue\T1/ptm/m/n/10.95 ,
[757] [758] [759]
Underfull \hbox (badness 10000) in paragraph at lines 60548--60548
[]\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9
5 lower=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 over-
[760]
LaTeX Warning: Hyper reference `library/tensor/slinalg:theano.tensor.slinalg.so
lve' on page 761 undefined on input line 60655.
[761]
LaTeX Warning: Hyper reference `library/tensor/slinalg:theano.tensor.slinalg.so
lve' on page 762 undefined on input line 60691.
LaTeX Warning: Hyper reference `library/tensor/slinalg:theano.tensor.slinalg.so
lve' on page 762 undefined on input line 60699.
[762] [763] [764] [765] [766] [767] [768] [769] [770] [771] [772] [773]
[774 <./plot_fft1.png>] [775] [776] [777] [778] [779] [780] [781] [782]
Underfull \hbox (badness 10000) in paragraph at lines 62633--62633
[]\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-
[783] [784]
Underfull \hbox (badness 10000) in paragraph at lines 62829--62833
[]\T1/ptm/m/n/10.95 Theano
[785]
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.function' on page 786 undefined on input line 62928.
LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio
n.function_dump' on page 786 undefined on input line 62936.
LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval
ue.shared' on page 786 undefined on input line 62944.
LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.dot' on page
786 undefined on input line 62960.
Underfull \hbox (badness 10000) in paragraph at lines 63002--63004
[]\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 786 undefined on
input line 63013.
[786]
LaTeX Warning: Hyper reference `troubleshooting:network-error-proxy' on page 78
7 undefined on input line 63016.
LaTeX Warning: Hyper reference `troubleshooting:slow-or-memory' on page 787 und
efined on input line 63019.
LaTeX Warning: Hyper reference `troubleshooting:tensorvariable-typeerror' on pa
ge 787 undefined on input line 63022.
LaTeX Warning: Hyper reference `troubleshooting:out-of-memory' on page 787 unde
fined on input line 63025.
LaTeX Warning: Hyper reference `troubleshooting:float64-output' on page 787 und
efined on input line 63028.
LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 787 undefi
ned on input line 63031.
LaTeX Warning: Hyper reference `troubleshooting:test-blas' on page 787 undefine
d on input line 63034.
[787]
LaTeX Warning: Hyper reference `library/config:config.device' on page 788 undef
ined on input line 63139.
LaTeX Warning: Hyper reference `library/config:config.force_device' on page 788
undefined on input line 63140.
[788]
LaTeX Warning: Hyper reference `library/gpuarray/dnn:libdoc-gpuarray-dnn' on pa
ge 789 undefined on input line 63153.
LaTeX Warning: Hyper reference `library/config:config.allow_gc' on page 789 und
efined on input line 63170.
LaTeX Warning: Hyper reference `library/tensor/nnet/bn:theano.tensor.nnet.bn.ba
tch_normalization' on page 789 undefined on input line 63186.
LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 789 undef
ined on input line 63221.
LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 789
undefined on input line 63229.
[789]
LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 790 undef
ined on input line 63245.
[790]
Underfull \hbox (badness 10000) in paragraph at lines 63307--63308
[]\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 63307--63308
\T1/ptm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109
a06ca04b360.so: un-de-
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63342.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63342.
[791]
LaTeX Warning: Hyper reference `glossary:term-op' on page 792 undefined on inpu
t line 63392.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o
n input line 63393.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o
n input line 63394.
LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page
792 undefined on input line 63404.
LaTeX Warning: Hyper reference `glossary:term-broadcasting' on page 792 undefin
ed on input line 63433.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 792 undefined on i
nput line 63436.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o
n input line 63439.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 792 undefined on i
nput line 63440.
LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 792 unde
fined on input line 63442.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o
n input line 63444.
LaTeX Warning: Hyper reference `glossary:term-op' on page 792 undefined on inpu
t line 63444.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 792 undefined on i
nput line 63444.
LaTeX Warning: Hyper reference `glossary:term-type' on page 792 undefined on in
put line 63445.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 792 undefined on input line 63445.
[792]
LaTeX Warning: Hyper reference `glossary:term-op' on page 793 undefined on inpu
t line 63448.
LaTeX Warning: Hyper reference `glossary:term-inplace' on page 793 undefined on
input line 63450.
LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 793 unde
fined on input line 63453.
LaTeX Warning: Hyper reference `glossary:term-expression-graph' on page 793 und
efined on input line 63461.
LaTeX Warning: Hyper reference `glossary:term-destructive' on page 793 undefine
d on input line 63468.
LaTeX Warning: Hyper reference `glossary:term-mode' on page 793 undefined on in
put line 63472.
LaTeX Warning: Hyper reference `glossary:term-optimizer' on page 793 undefined
on input line 63476.
LaTeX Warning: Hyper reference `glossary:term-linker' on page 793 undefined on
input line 63476.
LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 793 unde
fined on input line 63477.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 793 undefined on i
nput line 63481.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 793 undefined o
n input line 63488.
LaTeX Warning: Hyper reference `glossary:term-type' on page 793 undefined on in
put line 63488.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 793 undefined on i
nput line 63488.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 793 undefined on input line 63489.
LaTeX Warning: Hyper reference `extending/optimization:Optimizer' on page 793 u
ndefined on input line 63492.
LaTeX Warning: Hyper reference `glossary:term-optimization' on page 793 undefin
ed on input line 63493.
LaTeX Warning: Hyper reference `glossary:term-graph' on page 793 undefined on i
nput line 63496.
LaTeX Warning: Hyper reference `glossary:term-optimizer' on page 793 undefined
on input line 63496.
LaTeX Warning: Hyper reference `glossary:term-graph' on page 793 undefined on i
nput line 63497.
LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 793 unde
fined on input line 63497.
LaTeX Warning: Hyper reference `glossary:term-op' on page 793 undefined on inpu
t line 63500.
LaTeX Warning: Hyper reference `glossary:term-destructive' on page 793 undefine
d on input line 63500.
LaTeX Warning: Hyper reference `glossary:term-constant' on page 793 undefined o
n input line 63505.
LaTeX Warning: Hyper reference `glossary:term-shared-variable' on page 793 unde
fined on input line 63505.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 793 undefined o
n input line 63508.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 793 undefined o
n input line 63516.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 793 undefined o
n input line 63519.
LaTeX Warning: Hyper reference `glossary:term-variable' on page 793 undefined o
n input line 63521.
LaTeX Warning: Hyper reference `glossary:term-op' on page 793 undefined on inpu
t line 63521.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 793 undefined on i
nput line 63521.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 793 undefined on input line 63522.
[793]
LaTeX Warning: Hyper reference `glossary:term-type' on page 794 undefined on in
put line 63535.
LaTeX Warning: Hyper reference `glossary:term-op' on page 794 undefined on inpu
t line 63535.
LaTeX Warning: Hyper reference `glossary:term-apply' on page 794 undefined on i
nput line 63535.
LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p
age 794 undefined on input line 63536.
LaTeX Warning: Hyper reference `glossary:term-destructive' on page 794 undefine
d on input line 63544.
[794] [795]
LaTeX Warning: Hyper reference `dev_start_guide:dev-start-guide' on page 796 un
defined on input line 63757.
[796]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63817.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63817.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63823.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63823.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63829.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63829.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63835.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63835.
[797] [798] [799] [800] [801] [802] [803] [804]
LaTeX Warning: Reference `library/compile/index:module-compile' on page 805 und
efined on input line 64310.
LaTeX Warning: Reference `library/config:module-config' on page 805 undefined o
n input line 64311.
LaTeX Warning: Reference `library/tensor/signal/conv:module-conv' on page 805 u
ndefined on input line 64312.
LaTeX Warning: Reference `library/tensor/signal/downsample:module-downsample' o
n page 805 undefined on input line 64315.
LaTeX Warning: Reference `library/gof/index:module-gof' on page 805 undefined o
n input line 64318.
LaTeX Warning: Reference `library/gradient:module-gradient' on page 805 undefin
ed on input line 64319.
LaTeX Warning: Reference `library/tensor/signal/pool:module-pool' on page 805 u
ndefined on input line 64322.
LaTeX Warning: Reference `library/sandbox/index:module-sandbox' on page 805 und
efined on input line 64325.
LaTeX Warning: Reference `library/sandbox/linalg:module-sandbox.linalg' on page
805 undefined on input line 64326.
LaTeX Warning: Reference `library/sandbox/neighbours:module-sandbox.neighbours'
on page 805 undefined on input line 64327.
LaTeX Warning: Reference `library/sandbox/rng_mrg:module-sandbox.rng_mrg' on pa
ge 805 undefined on input line 64328.
LaTeX Warning: Reference `library/tensor/signal/index:module-signal' on page 80
5 undefined on input line 64329.
LaTeX Warning: Reference `library/sparse/index:module-sparse' on page 805 undef
ined on input line 64330.
LaTeX Warning: Reference `library/sparse/sandbox:module-sparse.sandbox' on page
805 undefined on input line 64331.
LaTeX Warning: Reference `library/tensor/index:module-tensor' on page 805 undef
ined on input line 64334.
LaTeX Warning: Reference `library/tensor/elemwise:module-tensor.elemwise' on pa
ge 805 undefined on input line 64335.
LaTeX Warning: Reference `library/tensor/extra_ops:module-tensor.extra_ops' on
page 805 undefined on input line 64336.
LaTeX Warning: Reference `library/tensor/io:module-tensor.io' on page 805 undef
ined on input line 64337.
LaTeX Warning: Reference `library/tensor/nlinalg:module-tensor.nlinalg' on page
805 undefined on input line 64338.
LaTeX Warning: Reference `library/tensor/nnet/blocksparse:module-tensor.nnet.bl
ocksparse' on page 805 undefined on input line 64339.
LaTeX Warning: Reference `library/tensor/nnet/bn:module-tensor.nnet.bn' on page
805 undefined on input line 64340.
LaTeX Warning: Reference `library/tensor/opt:module-tensor.opt' on page 805 und
efined on input line 64341.
LaTeX Warning: Reference `library/tensor/slinalg:module-tensor.slinalg' on page
805 undefined on input line 64342.
LaTeX Warning: Reference `library/tensor/utils:module-tensor.utils' on page 805
undefined on input line 64343.
LaTeX Warning: Reference `library/index:module-theano' on page 805 undefined on
input line 64344.
LaTeX Warning: Reference `library/compile/debugmode:module-theano.compile.debug
mode' on page 805 undefined on input line 64345.
Underfull \hbox (badness 10000) in paragraph at lines 64345--64346
[]\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 805 undefined on input line 64346.
LaTeX Warning: Reference `library/compile/io:module-theano.compile.io' on page
805 undefined on input line 64347.
LaTeX Warning: Reference `library/compile/mode:module-theano.compile.mode' on p
age 805 undefined on input line 64348.
LaTeX Warning: Reference `library/compile/nanguardmode:module-theano.compile.na
nguardmode' on page 805 undefined on input line 64349.
Underfull \hbox (badness 10000) in paragraph at lines 64349--64350
[]\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 805 undefined on input line 64350.
LaTeX Warning: Reference `library/compile/shared:module-theano.compile.sharedva
lue' on page 805 undefined on input line 64351.
LaTeX Warning: Reference `library/d3viz/index:module-theano.d3viz' on page 805
undefined on input line 64352.
LaTeX Warning: Reference `library/d3viz/index:module-theano.d3viz.d3viz' on pag
e 805 undefined on input line 64353.
LaTeX Warning: Reference `library/gof/fgraph:module-theano.gof.fg' on page 805
undefined on input line 64354.
LaTeX Warning: Reference `library/gof/graph:module-theano.gof.graph' on page 80
5 undefined on input line 64355.
LaTeX Warning: Reference `library/gof/params_type:module-theano.gof.params_type
' on page 805 undefined on input line 64356.
LaTeX Warning: Reference `library/gof/toolbox:module-theano.gof.toolbox' on pag
e 805 undefined on input line 64357.
LaTeX Warning: Reference `library/gof/type:module-theano.gof.type' on page 805
undefined on input line 64358.
LaTeX Warning: Reference `library/gof/utils:module-theano.gof.utils' on page 80
5 undefined on input line 64359.
LaTeX Warning: Reference `library/gpuarray/index:module-theano.gpuarray' on pag
e 805 undefined on input line 64360.
LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.basic_ops'
on page 805 undefined on input line 64361.
LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.blas' on p
age 805 undefined on input line 64362.
LaTeX Warning: Reference `library/gpuarray/ctc:module-theano.gpuarray.ctc' on p
age 805 undefined on input line 64363.
LaTeX Warning: Reference `library/gpuarray/dnn:module-theano.gpuarray.dnn' on p
age 805 undefined on input line 64364.
LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.elemwise'
on page 805 undefined on input line 64365.
LaTeX Warning: Reference `library/gpuarray/fft:module-theano.gpuarray.fft' on p
age 805 undefined on input line 64366.
LaTeX Warning: Reference `library/gpuarray/extra:module-theano.gpuarray.fp16_he
lp' on page 805 undefined on input line 64367.
LaTeX Warning: Reference `library/gpuarray/extra:module-theano.gpuarray.kernel_
codegen' on page 805 undefined on input line 64368.
LaTeX Warning: Reference `library/gpuarray/linalg:module-theano.gpuarray.linalg
' on page 805 undefined on input line 64369.
LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.neighbours
' on page 805 undefined on input line 64370.
LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.nnet' on p
age 805 undefined on input line 64371.
LaTeX Warning: Reference `library/gpuarray/extra:module-theano.gpuarray.opt_uti
l' on page 805 undefined on input line 64372.
LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.subtensor'
on page 805 undefined on input line 64373.
LaTeX Warning: Reference `library/gpuarray/type:module-theano.gpuarray.type' on
page 805 undefined on input line 64374.
LaTeX Warning: Reference `library/gradient:module-theano.gradient' on page 805
undefined on input line 64375.
LaTeX Warning: Reference `dev_start_guide:module-theano.misc.doubleop' on page
805 undefined on input line 64376.
LaTeX Warning: Reference `library/printing:module-theano.printing' on page 805
undefined on input line 64377.
[805]
LaTeX Warning: Reference `library/sandbox/linalg:module-theano.sandbox.linalg.o
ps' on page 806 undefined on input line 64378.
LaTeX Warning: Reference `library/sandbox/rng_mrg:module-theano.sandbox.rng_mrg
' on page 806 undefined on input line 64379.
LaTeX Warning: Reference `library/scan:module-theano.scan_module' on page 806 u
ndefined on input line 64380.
LaTeX Warning: Reference `library/sparse/index:module-theano.sparse.basic' on p
age 806 undefined on input line 64381.
LaTeX Warning: Reference `library/sparse/sandbox:module-theano.sparse.sandbox.s
p' on page 806 undefined on input line 64382.
LaTeX Warning: Reference `library/sparse/sandbox:module-theano.sparse.sandbox.s
p2' on page 806 undefined on input line 64383.
LaTeX Warning: Reference `library/sparse/sandbox:module-theano.sparse.sandbox.t
ruedot' on page 806 undefined on input line 64384.
LaTeX Warning: Reference `library/tensor/elemwise:module-theano.tensor.elemwise
' on page 806 undefined on input line 64385.
LaTeX Warning: Reference `library/tensor/extra_ops:module-theano.tensor.extra_o
ps' on page 806 undefined on input line 64386.
LaTeX Warning: Reference `library/tensor/fft:module-theano.tensor.fft' on page
806 undefined on input line 64387.
LaTeX Warning: Reference `library/tensor/io:module-theano.tensor.io' on page 80
6 undefined on input line 64388.
LaTeX Warning: Reference `library/tensor/nlinalg:module-theano.tensor.nlinalg'
on page 806 undefined on input line 64389.
LaTeX Warning: Reference `library/tensor/nnet/index:module-theano.tensor.nnet'
on page 806 undefined on input line 64390.
LaTeX Warning: Reference `library/tensor/nnet/conv:module-theano.tensor.nnet.ab
stract_conv' on page 806 undefined on input line 64391.
LaTeX Warning: Reference `library/tensor/nnet/blocksparse:module-theano.tensor.
nnet.blocksparse' on page 806 undefined on input line 64392.
LaTeX Warning: Reference `library/tensor/nnet/ctc:module-theano.tensor.nnet.ctc
' on page 806 undefined on input line 64393.
LaTeX Warning: Reference `library/tensor/nnet/neighbours:module-theano.tensor.n
net.neighbours' on page 806 undefined on input line 64394.
Underfull \hbox (badness 10000) in paragraph at lines 64394--64395
[]\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 806 undefined on input line 64395.
LaTeX Warning: Reference `library/tensor/opt:module-theano.tensor.opt' on page
806 undefined on input line 64396.
LaTeX Warning: Reference `library/tensor/raw_random:module-theano.tensor.raw_ra
ndom' on page 806 undefined on input line 64397.
LaTeX Warning: Reference `library/tensor/shared_randomstreams:module-theano.ten
sor.shared_randomstreams' on page 806 undefined on input line 64398.
Underfull \hbox (badness 10000) in paragraph at lines 64398--64399
[]\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams
LaTeX Warning: Reference `library/tensor/slinalg:module-theano.tensor.slinalg'
on page 806 undefined on input line 64399.
LaTeX Warning: Reference `library/tensor/utils:module-theano.tensor.utils' on p
age 806 undefined on input line 64400.
LaTeX Warning: Reference `library/tests:module-theano.tests.breakpoint' on page
806 undefined on input line 64401.
LaTeX Warning: Reference `library/typed_list:module-theano.typed_list.basic' on
page 806 undefined on input line 64402.
[806]
No file theano.ind.
Package longtable Warning: Table widths have changed. Rerun LaTeX.
(./theano.aux)
kpathsea: Running mktexpk --mfmode / --bdpi 600 --mag 1+0/600 --dpi 600 tctt1095
mktexpk: Running mf-nowin -progname=mf \mode:=ljfour; mag:=1+0/600; nonstopmode; input tctt1095
This is METAFONT, Version 2.7182818 (TeX Live 2019/Debian) (preloaded base=mf)
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/tctt1095.mf
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/exbase.mf)
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/tctt.mf
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txsymb.mf
Ok (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/exaccess.mf
Ok) (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txpseudo.mf
Ok) (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txaccent.mf
Ok [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [27] [29])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txgen.mf
Ok [100] [109] [98] [99] [108])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txsymbol.mf
Ok [13] [18] [21] [22] [23] [24] [25] [26] [28] [31] [32] [36] [39] [44]
[45] [46] [42] [47] [60] [61] [62] [77] [79] [87] [110] [91] [93] [94] [95]
[96] [126] [127] [128] [129] [130] [131] [132] [133] [134] [135] [136] [137]
[138] [139] [140] [141] [142] [143] [144] [145] [146] [147] [148] [149]
[150] [151] [152] [153] [154] [155] [156] [157] [158] [159] [160] [161]
[162] [163] [164] [165] [166] [167] [168] [169] [171] [172] [173] [174]
[175] [177] [176] [180] [181] [182] [183] [184] [187] [191] [214] [246])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txromod.mf
Ok [48] [49] [50] [51] [52] [53] [54] [55] [56] [57])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txrsuper.mf
Ok [185] [178] [179] [170] [186])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txrfract.mf
Ok [188] [189] [190]) ) ) )
Font metrics written on tctt1095.tfm.
Output written on tctt1095.600gf (128 characters, 21204 bytes).
Transcript written on tctt1095.log.
mktexpk: /<<BUILDDIR>>/theano-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tctt1095.600pk: successfully generated.
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) </<<BUILDDIR>>/thea
no-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tc
tt1095.600pk>{/usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc}
kpathsea: Running mktexpk --mfmode / --bdpi 600 --mag 1+0/600 --dpi 600 tctt1000
mktexpk: Running mf-nowin -progname=mf \mode:=ljfour; mag:=1+0/600; nonstopmode; input tctt1000
This is METAFONT, Version 2.7182818 (TeX Live 2019/Debian) (preloaded base=mf)
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/tctt1000.mf
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/exbase.mf)
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/tctt.mf
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txsymb.mf
Ok (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/exaccess.mf
Ok) (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txpseudo.mf
Ok) (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txaccent.mf
Ok [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [27] [29])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txgen.mf
Ok [100] [109] [98] [99] [108])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txsymbol.mf
Ok [13] [18] [21] [22] [23] [24] [25] [26] [28] [31] [32] [36] [39] [44]
[45] [46] [42] [47] [60] [61] [62] [77] [79] [87] [110] [91] [93] [94] [95]
[96] [126] [127] [128] [129] [130] [131] [132] [133] [134] [135] [136] [137]
[138] [139] [140] [141] [142] [143] [144] [145] [146] [147] [148] [149]
[150] [151] [152] [153] [154] [155] [156] [157] [158] [159] [160] [161]
[162] [163] [164] [165] [166] [167] [168] [169] [171] [172] [173] [174]
[175] [177] [176] [180] [181] [182] [183] [184] [187] [191] [214] [246])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txromod.mf
Ok [48] [49] [50] [51] [52] [53] [54] [55] [56] [57])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txrsuper.mf
Ok [185] [178] [179] [170] [186])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txrfract.mf
Ok [188] [189] [190]) ) ) )
Font metrics written on tctt1000.tfm.
Output written on tctt1000.600gf (128 characters, 19540 bytes).
Transcript written on tctt1000.log.
mktexpk: /<<BUILDDIR>>/theano-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tctt1000.600pk: successfully generated.
</buil
d/theano-cwjVNk/theano-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/l
jfour/jknappen/ec/tctt1000.600pk>
kpathsea: Running mktexpk --mfmode / --bdpi 600 --mag 1+0/600 --dpi 600 tcit1000
mktexpk: Running mf-nowin -progname=mf \mode:=ljfour; mag:=1+0/600; nonstopmode; input tcit1000
This is METAFONT, Version 2.7182818 (TeX Live 2019/Debian) (preloaded base=mf)
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/tcit1000.mf
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/exbase.mf)
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/tcit.mf
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txsymb.mf
Ok (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/exaccess.mf
Ok) (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txpseudo.mf
Ok) (/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txaccent.mf
Ok [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [27] [29])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txgen.mf
Ok [100] [109] [98] [99] [108])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txsymbol.mf
Ok [13] [18] [21] [22] [23] [24] [25] [26] [28] [31] [32] [36] [39] [44]
[45] [46] [42] [47] [60] [61] [62] [77] [79] [87] [110] [91] [93] [94] [95]
[96] [126] [127] [128] [129] [130] [131] [132] [133] [134] [135] [136] [137]
[138] [139] [140] [141] [142] [143] [144] [145] [146] [147] [148] [149]
[150] [151] [152] [153] [154] [155] [156] [157] [158] [159] [160] [161]
[162] [163] [164] [165] [166] [167] [168] [169] [171] [172] [173] [174]
[175] [177] [176] [180] [181] [182] [183] [184] [187] [191] [214] [246])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txitlod.mf
Ok [48] [49] [53] [54] [56] [57] [50] [51] [52] [55])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txisuper.mf
Ok [185] [178] [179] [170] [186])
(/usr/share/texlive/texmf-dist/fonts/source/jknappen/ec/txifract.mf
Ok [188] [189] [190]) ) ) )
Font metrics written on tcit1000.tfm.
Output written on tcit1000.600gf (128 characters, 19308 bytes).
Transcript written on tcit1000.log.
mktexpk: /<<BUILDDIR>>/theano-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tcit1000.600pk: successfully generated.
</<<BUILDDIR>>/theano-1.0.4+dfsg/jupyt
er_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tcit1000.600pk></usr/
share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmbx10.pfb></usr/share/
texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmex10.pfb></usr/share/texliv
e/texmf-dist/fonts/type1/public/amsfonts/cmextra/cmex8.pfb></usr/share/texlive/
texmf-dist/fonts/type1/public/amsfonts/cm/cmmi10.pfb></usr/share/texlive/texmf-
dist/fonts/type1/public/amsfonts/cm/cmmi6.pfb></usr/share/texlive/texmf-dist/fo
nts/type1/public/amsfonts/cm/cmmi8.pfb></usr/share/texlive/texmf-dist/fonts/typ
e1/public/amsfonts/cm/cmr10.pfb></usr/share/texlive/texmf-dist/fonts/type1/publ
ic/amsfonts/cm/cmr6.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfo
nts/cm/cmr8.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/c
msy10.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy6.p
fb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy8.pfb></us
r/share/texlive/texmf-dist/fonts/type1/public/amsfonts/symbols/msbm10.pfb></usr
/share/texlive/texmf-dist/fonts/type1/urw/courier/ucrb8a.pfb></usr/share/texliv
e/texmf-dist/fonts/type1/urw/courier/ucrbo8a.pfb></usr/share/texlive/texmf-dist
/fonts/type1/urw/courier/ucrr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/
urw/courier/ucrro8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic
/uhvb8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvbo8a.pfb
></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvr8a.pfb></usr/share
/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvro8a.pfb></usr/share/texlive/te
xmf-dist/fonts/type1/urw/times/utmb8a.pfb></usr/share/texlive/texmf-dist/fonts/
type1/urw/times/utmbi8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/time
s/utmr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/utmri8a.pfb>
Output written on theano.pdf (810 pages, 3589474 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 805 undefined on input line 64376
Reference `library/compile/debugmode:module-theano.compile.debugmode' on page 805 undefined on input line 64345
Reference `library/compile/function:module-theano.compile.function' on page 805 undefined on input line 64346
Reference `library/compile/index:module-compile' on page 805 undefined on input line 64310
Reference `library/compile/io:module-theano.compile.io' on page 805 undefined on input line 64347
Reference `library/compile/mode:module-theano.compile.mode' on page 805 undefined on input line 64348
Reference `library/compile/nanguardmode:module-theano.compile.nanguardmode' on page 805 undefined on input line 64349
Reference `library/compile/ops:module-theano.compile.ops' on page 805 undefined on input line 64350
Reference `library/compile/shared:module-theano.compile.sharedvalue' on page 805 undefined on input line 64351
Reference `library/config:module-config' on page 805 undefined on input line 64311
Reference `library/d3viz/index:module-theano.d3viz' on page 805 undefined on input line 64352
Reference `library/d3viz/index:module-theano.d3viz.d3viz' on page 805 undefined on input line 64353
Reference `library/gof/fgraph:module-theano.gof.fg' on page 805 undefined on input line 64354
Reference `library/gof/graph:module-theano.gof.graph' on page 805 undefined on input line 64355
Reference `library/gof/index:module-gof' on page 805 undefined on input line 64318
Reference `library/gof/params_type:module-theano.gof.params_type' on page 805 undefined on input line 64356
Reference `library/gof/toolbox:module-theano.gof.toolbox' on page 805 undefined on input line 64357
Reference `library/gof/type:module-theano.gof.type' on page 805 undefined on input line 64358
Reference `library/gof/utils:module-theano.gof.utils' on page 805 undefined on input line 64359
Reference `library/gpuarray/ctc:module-theano.gpuarray.ctc' on page 805 undefined on input line 64363
Reference `library/gpuarray/dnn:module-theano.gpuarray.dnn' on page 805 undefined on input line 64364
Reference `library/gpuarray/extra:module-theano.gpuarray.fp16_help' on page 805 undefined on input line 64367
Reference `library/gpuarray/extra:module-theano.gpuarray.kernel_codegen' on page 805 undefined on input line 64368
Reference `library/gpuarray/extra:module-theano.gpuarray.opt_util' on page 805 undefined on input line 64372
Reference `library/gpuarray/fft:module-theano.gpuarray.fft' on page 805 undefined on input line 64366
Reference `library/gpuarray/index:module-theano.gpuarray' on page 805 undefined on input line 64360
Reference `library/gpuarray/linalg:module-theano.gpuarray.linalg' on page 805 undefined on input line 64369
Reference `library/gpuarray/op:module-theano.gpuarray.basic_ops' on page 805 undefined on input line 64361
Reference `library/gpuarray/op:module-theano.gpuarray.blas' on page 805 undefined on input line 64362
Reference `library/gpuarray/op:module-theano.gpuarray.elemwise' on page 805 undefined on input line 64365
Reference `library/gpuarray/op:module-theano.gpuarray.neighbours' on page 805 undefined on input line 64370
Reference `library/gpuarray/op:module-theano.gpuarray.nnet' on page 805 undefined on input line 64371
Reference `library/gpuarray/op:module-theano.gpuarray.subtensor' on page 805 undefined on input line 64373
Reference `library/gpuarray/type:module-theano.gpuarray.type' on page 805 undefined on input line 64374
Reference `library/gradient:module-gradient' on page 805 undefined on input line 64319
Reference `library/gradient:module-theano.gradient' on page 805 undefined on input line 64375
Reference `library/index:module-theano' on page 805 undefined on input line 64344
Reference `library/printing:module-theano.printing' on page 805 undefined on input line 64377
Reference `library/sandbox/index:module-sandbox' on page 805 undefined on input line 64325
Reference `library/sandbox/linalg:module-sandbox.linalg' on page 805 undefined on input line 64326
Reference `library/sandbox/linalg:module-theano.sandbox.linalg.ops' on page 806 undefined on input line 64378
Reference `library/sandbox/neighbours:module-sandbox.neighbours' on page 805 undefined on input line 64327
Reference `library/sandbox/rng_mrg:module-sandbox.rng_mrg' on page 805 undefined on input line 64328
Reference `library/sandbox/rng_mrg:module-theano.sandbox.rng_mrg' on page 806 undefined on input line 64379
Reference `library/scan:module-theano.scan_module' on page 806 undefined on input line 64380
Reference `library/sparse/index:module-sparse' on page 805 undefined on input line 64330
Reference `library/sparse/index:module-theano.sparse.basic' on page 806 undefined on input line 64381
Reference `library/sparse/sandbox:module-sparse.sandbox' on page 805 undefined on input line 64331
Reference `library/sparse/sandbox:module-theano.sparse.sandbox.sp' on page 806 undefined on input line 64382
Reference `library/sparse/sandbox:module-theano.sparse.sandbox.sp2' on page 806 undefined on input line 64383
Reference `library/sparse/sandbox:module-theano.sparse.sandbox.truedot' on page 806 undefined on input line 64384
Reference `library/tensor/elemwise:module-tensor.elemwise' on page 805 undefined on input line 64335
Reference `library/tensor/elemwise:module-theano.tensor.elemwise' on page 806 undefined on input line 64385
Reference `library/tensor/extra_ops:module-tensor.extra_ops' on page 805 undefined on input line 64336
Reference `library/tensor/extra_ops:module-theano.tensor.extra_ops' on page 806 undefined on input line 64386
Reference `library/tensor/fft:module-theano.tensor.fft' on page 806 undefined on input line 64387
Reference `library/tensor/index:module-tensor' on page 805 undefined on input line 64334
Reference `library/tensor/io:module-tensor.io' on page 805 undefined on input line 64337
Reference `library/tensor/io:module-theano.tensor.io' on page 806 undefined on input line 64388
Reference `library/tensor/nlinalg:module-tensor.nlinalg' on page 805 undefined on input line 64338
Reference `library/tensor/nlinalg:module-theano.tensor.nlinalg' on page 806 undefined on input line 64389
Reference `library/tensor/nnet/blocksparse:module-tensor.nnet.blocksparse' on page 805 undefined on input line 64339
Reference `library/tensor/nnet/blocksparse:module-theano.tensor.nnet.blocksparse' on page 806 undefined on input line 64392
Reference `library/tensor/nnet/bn:module-tensor.nnet.bn' on page 805 undefined on input line 64340
Reference `library/tensor/nnet/conv:module-theano.tensor.nnet.abstract_conv' on page 806 undefined on input line 64391
Reference `library/tensor/nnet/ctc:module-theano.tensor.nnet.ctc' on page 806 undefined on input line 64393
Reference `library/tensor/nnet/index:module-theano.tensor.nnet' on page 806 undefined on input line 64390
Reference `library/tensor/nnet/neighbours:module-theano.tensor.nnet.neighbours' on page 806 undefined on input line 64394
Reference `library/tensor/nnet/nnet:module-theano.tensor.nnet.nnet' on page 806 undefined on input line 64395
Reference `library/tensor/opt:module-tensor.opt' on page 805 undefined on input line 64341
Reference `library/tensor/opt:module-theano.tensor.opt' on page 806 undefined on input line 64396
Reference `library/tensor/raw_random:module-theano.tensor.raw_random' on page 806 undefined on input line 64397
Reference `library/tensor/shared_randomstreams:module-theano.tensor.shared_randomstreams' on page 806 undefined on input line 64398
Reference `library/tensor/signal/conv:module-conv' on page 805 undefined on input line 64312
Reference `library/tensor/signal/downsample:module-downsample' on page 805 undefined on input line 64315
Reference `library/tensor/signal/index:module-signal' on page 805 undefined on input line 64329
Reference `library/tensor/signal/pool:module-pool' on page 805 undefined on input line 64322
Reference `library/tensor/slinalg:module-tensor.slinalg' on page 805 undefined on input line 64342
Reference `library/tensor/slinalg:module-theano.tensor.slinalg' on page 806 undefined on input line 64399
Reference `library/tensor/utils:module-tensor.utils' on page 805 undefined on input line 64343
Reference `library/tensor/utils:module-theano.tensor.utils' on page 806 undefined on input line 64400
Reference `library/tests:module-theano.tests.breakpoint' on page 806 undefined on input line 64401
Reference `library/typed_list:module-theano.typed_list.basic' on page 806 undefined on input line 64402
Rule 'makeindex theano.idx': File changes, etc:
Changed files, or newly in use since previous run(s):
'theano.idx'
------------
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] (kpathsea + Thai support).
Scanning style file ./python.ist.......done (7 attributes redefined, 0 ignored).
Scanning input file theano.idx.....done (1972 entries accepted, 0 rejected).
Sorting entries....................done (25332 comparisons).
Generating output file theano.ind.....done (2563 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 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex)
restricted \write18 enabled.
entering extended mode
(./theano.tex
LaTeX2e <2020-02-02> patch level 5
L3 programming layer <2020-02-25> (./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 2019/12/20 v1.4l 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<<t1.cmap>>)
(/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/ltxcmds/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/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)
(./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/kvoptions/kvoptions.sty
(/usr/share/texlive/texmf-dist/tex/generic/kvsetkeys/kvsetkeys.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty
(/usr/share/texlive/texmf-dist/tex/generic/iftex/ifvtex.sty
(/usr/share/texlive/texmf-dist/tex/generic/iftex/iftex.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty
(/usr/share/texlive/texmf-dist/tex/latex/pdftexcmds/pdftexcmds.sty
(/usr/share/texlive/texmf-dist/tex/generic/infwarerr/infwarerr.sty))
(/usr/share/texlive/texmf-dist/tex/generic/kvdefinekeys/kvdefinekeys.sty)
(/usr/share/texlive/texmf-dist/tex/generic/pdfescape/pdfescape.sty)
(/usr/share/texlive/texmf-dist/tex/latex/hycolor/hycolor.sty)
(/usr/share/texlive/texmf-dist/tex/latex/letltxmacro/letltxmacro.sty)
(/usr/share/texlive/texmf-dist/tex/latex/auxhook/auxhook.sty)
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def)
(/usr/share/texlive/texmf-dist/tex/generic/intcalc/intcalc.sty)
(/usr/share/texlive/texmf-dist/tex/generic/etexcmds/etexcmds.sty)
(/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/generic/bitset/bitset.sty
(/usr/share/texlive/texmf-dist/tex/generic/bigintcalc/bigintcalc.sty))
(/usr/share/texlive/texmf-dist/tex/generic/atbegshi/atbegshi.sty))
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def
(/usr/share/texlive/texmf-dist/tex/latex/atveryend/atveryend.sty)
(/usr/share/texlive/texmf-dist/tex/latex/rerunfilecheck/rerunfilecheck.sty
(/usr/share/texlive/texmf-dist/tex/generic/uniquecounter/uniquecounter.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty)
Writing index file theano.idx
(/usr/share/texlive/texmf-dist/tex/latex/l3backend/l3backend-pdfmode.def)
(./theano.aux) (/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/epstopdf-pkg/epstopdf-base.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/latex/refcount/refcount.sty)
(/usr/share/texlive/texmf-dist/tex/generic/gettitlestring/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
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 20.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 23.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 26.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 46.
)<<ot1.cmap>><<oml.cmap>><<oms.cmap>><<omx.cmap>>
(/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]
[46]
Underfull \hbox (badness 10000) in paragraph at lines 2788--2789
[]\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 2791--2792
[]\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 2794--2795
[]\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 2797--2798
[]\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 2800--2801
[]\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 2803--2804
[]\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 2806--2807
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
(/usr/share/texlive/texmf-dist/tex/latex/base/t1cmtt.fd)
(/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmtt.fd)
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
[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 4010
[66]
Overfull \vbox (3.27065pt too high) detected at line 4086
[67] [68] [69]
Overfull \vbox (0.82033pt too high) detected at line 4232
[70] [71] [72] [73] [74 <./bcast.png>] [75] [76] [77] [78] [79] [80] [81]
[82] [83] [84]
Underfull \hbox (badness 10000) in paragraph at lines 5139--5140
[]\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>] [115] [116 <./padding_strides_transposed.pd
f>] [117 <./padding_strides_odd_transposed.pdf>] [118 <./dilation.pdf>]
[119] [120 <./sep2D.jpg>] [121] [122] [123]
Underfull \hbox (badness 10000) in paragraph at lines 6865--6868
[]
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\T1/phv/m/n/10.95 short
Overfull \hbox (34.68462pt too wide) in paragraph at lines 6915--6915
[]\T1/pcr/m/n/10.95 FAST_COMPILE|
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\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 6915--6915
[]\T1/pcr/m/n/10.95 FAST_RUN|
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\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 6915--6915
[]\T1/pcr/m/n/10.95 DebugMode|
Underfull \hbox (badness 10000) in paragraph at lines 7051--7051
[]\T1/ptm/m/n/10.95 Nan-Guard-
Underfull \hbox (badness 10000) in paragraph at lines 7051--7051
[]\T1/ptm/m/n/10.95 VERY
[124]
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/phv/m/n/10.95 Com-pile
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/phv/m/n/10.95 Ex-e-cu-tion
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/ptm/m/n/10.95 o1
[125]
Underfull \hbox (badness 10000) in paragraph at lines 7201--7207
[]\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 7208--7215
\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 7208--7215
\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 7311--7312
[]
[128]
Overfull \hbox (132.49107pt too wide) in paragraph at lines 7320--7321
[]
[129 <./logreg_pydotprint_prediction2.png>]
Overfull \hbox (659.4564pt too wide) in paragraph at lines 7329--7330
[]
[130 <./logreg_pydotprint_predict2.png>] [131 <./logreg_pydotprint_train2.png>]
[132 <./d3viz.png>] [133]
Overfull \vbox (2.07271pt too high) detected at line 7497
[134] [135] [136] [137]
Underfull \hbox (badness 10000) in paragraph at lines 7697--7699
[]\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 7697--7699
\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
[139]
Underfull \hbox (badness 10000) in paragraph at lines 7799--7804
\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 7856
[140] [141] [142] [143]
Overfull \hbox (197.92802pt too wide) in paragraph at lines 8061--8061
[]
Underfull \hbox (badness 10000) in paragraph at lines 8061--8061
Underfull \hbox (badness 10000) in paragraph at lines 8117--8118
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 8580.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 8580.
[151]
Overfull \hbox (6.0pt too wide) in paragraph at lines 8607--8607
[]|
Overfull \hbox (157.20721pt too wide) in paragraph at lines 8607--8607
[][]|
Overfull \hbox (6.0pt too wide) in paragraph at lines 8607--8607
[]|
Overfull \hbox (157.43991pt too wide) in paragraph at lines 8607--8607
[][]|
Overfull \hbox (6.00545pt too wide) in paragraph at lines 8607--8608
[][]
[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 9606
Overfull \vbox (2.47066pt too high) detected at line 9606
[167] [168] [169] [170] [171]
Underfull \hbox (badness 10000) in paragraph at lines 9870--9874
\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
[174] [175]
Underfull \hbox (badness 10000) in paragraph at lines 10102--10107
[]\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 10379--10382
\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 10492--10497
[]\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 10753
[183]
Underfull \vbox (badness 10000) detected at line 10753
Overfull \vbox (2.47066pt too high) detected at line 10753
[184]
Overfull \vbox (1.72316pt too high) detected at line 10906
[185]
Underfull \vbox (badness 10000) detected at line 10906
Overfull \vbox (2.47066pt too high) detected at line 10906
[186] [187] [188]
Underfull \vbox (badness 10000) detected at line 11045
Overfull \vbox (2.47066pt too high) detected at line 11045
[189] [190]
Underfull \hbox (badness 10000) in paragraph at lines 11168--11171
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
[201] [202]
Overfull \vbox (10.92513pt too high) detected at line 12097
[203] [204] [205] [206] [207] [208]
Underfull \hbox (badness 10000) in paragraph at lines 12527--12534
[]\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 12631--12636
[]\T1/ptm/m/n/10.95 The grad method
Underfull \hbox (badness 10000) in paragraph at lines 12640--12645
[]\T1/ptm/m/n/10.95 If
[210] [211] [212] [213] [214]
Overfull \vbox (0.70735pt too high) detected at line 13048
[215] [216] [217] [218] [219]
Underfull \hbox (badness 6412) in paragraph at lines 13302--13309
[]\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 13794--13803
[]\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 14780
[239] [240]
Underfull \hbox (badness 10000) in paragraph at lines 14827--14832
[]\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 15161
Overfull \vbox (2.47066pt too high) detected at line 15161
[245] [246] [247]
Underfull \vbox (badness 10000) detected at line 15269
[248] [249]
Underfull \hbox (badness 10000) in paragraph at lines 15393--15395
[]\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 15598
[253] [254] [255] [256] [257] [258]
Underfull \hbox (badness 10000) in paragraph at lines 16054--16055
[]\T1/pcr/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compil
ing):
[259]
Underfull \vbox (badness 10000) detected at line 16265
Underfull \vbox (badness 10000) detected at line 16265
[260]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[261]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[262]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[263] [264]
Underfull \vbox (badness 10000) detected at line 16391
Overfull \vbox (9.22032pt too high) detected at line 16391
[265]
Underfull \hbox (badness 10000) in paragraph at lines 16395--16401
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17028.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17028.
[276] [277] [278]
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Type of
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 scan
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 in-ner in-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 in-ner out-put
Underfull \hbox (badness 6910) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 at timestep \T1/phv/m/sl/10.95 t
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 (in-dexed from
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ing outer
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ing ar-gu-
Underfull \hbox (badness 7777) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ment of the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/sl/10.95 theano.scan()
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 In-di-vid-ual se-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Non-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Non-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurring
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Singly-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 6157) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 (value at
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 at pre-vi-ous
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Multiply-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial val-
Underfull \hbox (badness 5652) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 ues for the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 re-quired
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 timesteps
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Multiply-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 mul-ti-ple
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-puts
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial val-
Underfull \hbox (badness 5652) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 ues for the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 re-quired
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 timesteps
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put val-ues
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 mul-ti-ple fu-ture
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
[279] [280] [281] [282] [283] [284] [285] [286] [287]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17931.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17931.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17932.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17932.
[288] [289] [290] [291] [292] [293]
(/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 17.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 20.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 34.
) [294] [295]
Underfull \hbox (badness 10000) in paragraph at lines 18685--18686
[]\T1/pcr/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) ->
Underfull \hbox (badness 10000) in paragraph at lines 18689--18691
[]\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 18731--18733
[]\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 18897--18905
[]\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 18976--18976
[]\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 19152--19152
[]\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 19196--19196
[]\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 19196--19196
\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 19196--19196
\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 19196--19196
\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 19201--19204
[]\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 19212--19214
[]\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 19216--19220
[]\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 19216--19220
\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 19311--19311
[]\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19348--19348
[]\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 19348--19348
\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 19511--19517
[]\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 21010--21010
[]\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 21010--21010
\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 21347--21347
[]\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 21347--21347
\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 21517--21517
[]\T1/ptm/m/it/10.95 nan_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 inf_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 big_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 op-ti-mizer='default'\T1/ptm/m/n/10.95 ,
[329] [330] [331] [332]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
[333] [334] [335] [336] [337]
Overfull \hbox (108.91849pt too wide) in paragraph at lines 22330--22331
\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 22447--22449
\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 22456--22460
\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 22463--22465
[]\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 22472--22474
\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 22481--22484
\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 22487--22489
[]\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 22496--22500
\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 23423--23425
\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 23446--23448
\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 23942
[357] [358]
Underfull \hbox (badness 10000) in paragraph at lines 24047--24047
[]\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=<class 'str'>\T1/ptm/m/n/10.95 ,
[359]
Underfull \hbox (badness 10000) in paragraph at lines 24123--24123
[]\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 24161--24161
[]\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 24161--24161
\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 24398--24398
[]\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=<class 'str'>\T1/ptm/m/n/10.95 ,
[362] [363] [364]
Underfull \hbox (badness 10000) in paragraph at lines 24652--24654
[]\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 24996--24996
\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 25262--25264
[]\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 25403--25404
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Overfull \vbox (1.22041pt too high) detected at line 25872
[378] [379] [380] [381] [382] [383] [384] [385] [386] [387] [388] [389]
Underfull \hbox (badness 10000) in paragraph at lines 26878--26880
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
[391] [392] [393] [394] [395]
Underfull \hbox (badness 10000) in paragraph at lines 27292--27294
[]\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] [417]
Underfull \hbox (badness 10000) in paragraph at lines 29471--29471
[]\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-
[418]
Underfull \hbox (badness 10000) in paragraph at lines 29504--29506
[]\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
[419]
Underfull \hbox (badness 10000) in paragraph at lines 29578--29578
[]\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 5119) in paragraph at lines 29625--29625
[]\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 29626--29631
\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 29646--29651
[]\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
[420]
Underfull \hbox (badness 10000) in paragraph at lines 29745--29745
[]\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 29745--29745
\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 ,
[421]
Underfull \hbox (badness 10000) in paragraph at lines 29816--29821
[]\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
[422] [423]
Underfull \hbox (badness 10000) in paragraph at lines 29973--29973
[]\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 29973--29973
\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 ,
[424]
Underfull \hbox (badness 10000) in paragraph at lines 30085--30085
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30085--30085
\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 10000) in paragraph at lines 30153--30153
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 6220) in paragraph at lines 30153--30153
\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 ,
[426]
Underfull \hbox (badness 5756) in paragraph at lines 30221--30221
\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-
[427]
Underfull \hbox (badness 10000) in paragraph at lines 30338--30338
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30338--30338
\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 30338--30338
\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 30338--30338
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[428]
Underfull \hbox (badness 10000) in paragraph at lines 30406--30406
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30406--30406
\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 30406--30406
\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 30406--30406
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[429] [430] [431] [432] [433] [434] [435] [436]
Underfull \hbox (badness 10000) in paragraph at lines 31092--31092
[]\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 31092--31092
\T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 ,
[437]
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
[]\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 31246--31246
\T1/ptm/m/it/10.95 re-duce_mask=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
\T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
\T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 ,
[438] [439] [440] [441]
Underfull \hbox (badness 5924) in paragraph at lines 31546--31546
[]\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 31546--31546
\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 ,
[442] [443]
Underfull \hbox (badness 10000) in paragraph at lines 31766--31766
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[444]
Underfull \hbox (badness 10000) in paragraph at lines 31845--31845
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[445]
Overfull \hbox (37.40398pt too wide) in paragraph at lines 31943--31943
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (91.124pt too wide) in paragraph at lines 31943--31943
\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 31975--31975
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (45.13405pt too wide) in paragraph at lines 31975--31975
\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 31991--31991
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (51.70404pt too wide) in paragraph at lines 31991--31991
\T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 )
[446] [447] [448]
Overfull \hbox (37.40398pt too wide) in paragraph at lines 32215--32215
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (91.124pt too wide) in paragraph at lines 32215--32215
\T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 )
[449] [450]
Overfull \hbox (4.3459pt too wide) in paragraph at lines 32437--32437
[]\T1/ptm/m/it/10.95 sparse_grad=False\T1/pcr/m/n/10.95 )
[451] [452] [453]
Underfull \hbox (badness 10000) in paragraph at lines 32685--32685
[]\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 32685--32685
\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 32685--32685
\T1/ptm/m/it/10.95 de-stroy-han-
Overfull \hbox (4.18106pt too wide) in paragraph at lines 32685--32685
\T1/ptm/m/it/10.95 dler_tolerate_aliased=None\T1/pcr/m/n/10.95 )
[454] [455] [456] [457]
Underfull \hbox (badness 10000) in paragraph at lines 33116--33116
[]\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 ,
[458] [459] [460] [461] [462] [463] [464] [465]
Underfull \hbox (badness 7522) in paragraph at lines 33861--33865
[]\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 ,
[466] [467]
Underfull \hbox (badness 10000) in paragraph at lines 34012--34013
[][][]\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 34015--34016
[][][]\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 34018--34019
[][][]\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.
[468] [469] [470]
Underfull \hbox (badness 10000) in paragraph at lines 34291--34293
[]\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
[471] [472]
Underfull \hbox (badness 10000) in paragraph at lines 34480--34482
[]\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
[473]
Underfull \hbox (badness 10000) in paragraph at lines 34536--34536
[]\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 34536--34536
\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 34536--34536
\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 34536--34536
\T1/ptm/m/it/10.95 place_running_var=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9
5 in-
Underfull \hbox (badness 10000) in paragraph at lines 34576--34576
[]\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-
[474]
Underfull \hbox (badness 10000) in paragraph at lines 34601--34601
[]\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 34646--34648
[]\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 ,
[475] [476]
Underfull \hbox (badness 10000) in paragraph at lines 34807--34809
[]\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 34846--34846
[]\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 34860--34862
[]\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 34884--34884
[]\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 ,
[477]
Underfull \hbox (badness 10000) in paragraph at lines 34898--34900
[]\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 34898--34900
\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',
Underfull \hbox (badness 10000) in paragraph at lines 34963--34964
[]\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
[478]
Underfull \hbox (badness 10000) in paragraph at lines 35007--35008
[]\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
[479] [480]
Underfull \hbox (badness 10000) in paragraph at lines 35168--35170
[]\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 35227--35228
[]\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
[481] [482]
Underfull \hbox (badness 10000) in paragraph at lines 35491--35491
[]\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 35491--35491
\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 35491--35491
\T1/ptm/m/it/10.95 rec-tion_mode='unidirectional'\T1/ptm/m/n/10.95 , \T1/ptm/m/
it/10.95 con-
[483]
Underfull \hbox (badness 10000) in paragraph at lines 35508--35510
[]\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 35525--35527
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 35602--35602
[]\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 35602--35602
\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 35602--35602
\T1/ptm/m/it/10.95 activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep-
[484]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Underfull \hbox (badness 10000) in paragraph at lines 35661--35661
[]\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 35661--35661
\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 35661--35661
\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 35661--35661
\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 35661--35661
\T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 ,
[485]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
[486]
Underfull \hbox (badness 10000) in paragraph at lines 35755--35755
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35795--35798
[]\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 35795--35798
\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 35800--35804
[]\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 ,
[487]
Underfull \hbox (badness 8113) in paragraph at lines 35824--35824
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35869--35873
[]\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 ,
[488]
Underfull \hbox (badness 10000) in paragraph at lines 35893--35893
\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 35901--35901
[]\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 35901--35901
\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 35909--35909
\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 35909--35909
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35917--35917
[]\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 35944--35945
[]\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 ,
[489] [490] [491]
Underfull \hbox (badness 10000) in paragraph at lines 36174--36174
\T1/ptm/m/it/10.95 al-low_downcast=None\T1/ptm/m/n/10.95 ,
[492 <./plot_fft.png>]
Underfull \hbox (badness 10000) in paragraph at lines 36202--36203
[]\T1/pcr/b/n/10.95 with borrow=False and return_internal_type=True does
Underfull \hbox (badness 10000) in paragraph at lines 36208--36209
[]\T1/pcr/b/n/10.95 in that case, you may get different return types
Underfull \hbox (badness 10000) in paragraph at lines 36231--36232
[]\T1/pcr/b/n/10.95 to this value will be visible to all functions using
[493]
Underfull \hbox (badness 10000) in paragraph at lines 36285--36285
[]\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-
[494] [495] [496]
Underfull \hbox (badness 10000) in paragraph at lines 36678--36680
[]\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
[497] [498] [499] [500] [501]
Underfull \hbox (badness 10000) in paragraph at lines 37144--37144
[]\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 37144--37144
\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 37144--37144
\T1/ptm/m/it/10.95 low_downcast=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37144--37144
\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 37144--37144
\T1/ptm/m/it/10.95 castable=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 tar-
[502] [503] [504] [505] [506]
Underfull \hbox (badness 10000) in paragraph at lines 37570--37570
[]\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 37570--37570
\T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 6110) in paragraph at lines 37570--37570
\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 37570--37570
\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 37570--37570
\T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37570--37570
\T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 ,
Overfull \hbox (14.06978pt too wide) in paragraph at lines 37570--37570
\T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 )
[507]
Underfull \hbox (badness 6842) in paragraph at lines 37675--37675
[]\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 37675--37675
\T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 sm_stride\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 write_sm\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 thread-Pos\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 thread-
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 ,
Overfull \hbox (20.63977pt too wide) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 )
[508] [509] [510]
Overfull \hbox (81.80635pt too wide) in paragraph at lines 37859--37859
[]\T1/ptm/m/it/10.95 compute_grad=True\T1/pcr/m/n/10.95 )
[511]
Underfull \hbox (badness 10000) in paragraph at lines 37965--37965
[]\T1/ptm/m/it/10.95 lower=True\T1/ptm/m/n/10.95 ,
[512]
Underfull \hbox (badness 10000) in paragraph at lines 38046--38046
[]\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 ,
[513]
Underfull \hbox (badness 10000) in paragraph at lines 38203--38205
[]\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
[514]
Underfull \hbox (badness 10000) in paragraph at lines 38260--38261
[]\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 38326--38326
[]\T1/ptm/m/it/10.95 full_matrices=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 c
om-
[515] [516]
Underfull \hbox (badness 10000) in paragraph at lines 38557--38557
[]\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-
[517]
Underfull \hbox (badness 10000) in paragraph at lines 38603--38603
[]\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-
[518] [519] [520] [521]
Underfull \hbox (badness 10000) in paragraph at lines 39034--39034
[]\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-
[522]
Underfull \hbox (badness 10000) in paragraph at lines 39040--39041
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 39084--39084
[]\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-
[523]
Overfull \vbox (1.22057pt too high) detected at line 39241
[524] [525]
Underfull \hbox (badness 10000) in paragraph at lines 39321--39321
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 39371--39374
[]\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
[526] [527]
Underfull \hbox (badness 10000) in paragraph at lines 39550--39550
[]\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=4\T1/ptm/m/n/10.95 , \T1/ptm/m/it
/10.95 per-sis-tent_id=<class
[528]
Overfull \hbox (68.19234pt too wide) in paragraph at lines 39605--39605
[]\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 per-sis-tent_load=
<class 'theano.misc.pkl_utils.PersistentNdarrayLoad'>\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 39628--39628
[]\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-
[529]
Underfull \hbox (badness 10000) in paragraph at lines 39651--39651
[]\T1/ptm/m/it/10.95 file\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 *\T1/ptm/m/n/10
.95 , \T1/ptm/m/it/10.95 fix_imports=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95
en-
Underfull \hbox (badness 10000) in paragraph at lines 39651--39651
\T1/ptm/m/it/10.95 cod-ing='ASCII'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 er-ror
s='strict'\T1/ptm/m/n/10.95 ,
[530] [531] [532] [533]
Underfull \hbox (badness 10000) in paragraph at lines 39982--39982
[]\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 39982--39982
\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 39982--39982
\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 39982--39982
\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 39982--39982
\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 ,
[534] [535] [536] [537] [538]
Underfull \hbox (badness 10000) in paragraph at lines 40464--40464
[]\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 40490--40491
[]\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
[539]
Underfull \hbox (badness 10000) in paragraph at lines 40493--40494
[]\T1/pcr/b/n/10.95 result in [[0],[2]] When setting size=2, this
[540] [541] [542] [543] [544] [545] [546] [547]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
[548] [549]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
[550] [551] [552] [553] [554] [555] [556]
Overfull \vbox (1.48381pt too high) detected at line 41803
[557] [558] [559] [560]
Underfull \hbox (badness 10000) in paragraph at lines 42089--42089
[]\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 ,
[561] [562] [563] [564] [565] [566] [567]
Underfull \hbox (badness 10000) in paragraph at lines 42685--42687
[]\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 ,
[568] [569] [570] [571] [572] [573]
Underfull \hbox (badness 10000) in paragraph at lines 43298--43299
[]\T1/pcr/b/n/10.95 create a sparse matrix with the same shape as x. Its
[574] [575] [576] [577] [578] [579] [580] [581] [582] [583] [584] [585]
Underfull \hbox (badness 10000) in paragraph at lines 44505--44505
[]\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 ,
[586] [587] [588] [589] [590] [591] [592] [593] [594] [595] [596] [597]
[598] [599] [600] [601] [602] [603] [604] [605]
Underfull \hbox (badness 10000) in paragraph at lines 46398--46398
\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 46398--46398
\T1/ptm/m/it/10.95 sorted_indices=False\T1/pcr/m/n/10.95 )
[606] [607] [608] [609] [610] [611] [612] [613] [614] [615] [616] [617]
[618] [619] [620] [621] [622] [623] [624] [625]
Underfull \hbox (badness 10000) in paragraph at lines 49277--49280
[]\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 49311--49314
[]\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
[626] [627] [628] [629]
Underfull \hbox (badness 10000) in paragraph at lines 49682--49683
[630] [631] [632]
Underfull \hbox (badness 10000) in paragraph at lines 49917--49919
[]\T1/ptm/m/n/10.95 older:
Overfull \hbox (1.23325pt too wide) in paragraph at lines 49944--49946
[]
[633] [634]
Underfull \hbox (badness 10000) in paragraph at lines 50089--50089
[]\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 ,
[635] [636] [637] [638] [639]
Underfull \hbox (badness 5548) in paragraph at lines 50524--50526
[]\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,
[640] [641] [642] [643] [644] [645] [646] [647] [648] [649]
Underfull \hbox (badness 10000) in paragraph at lines 51543--51546
[]\T1/ptm/m/n/10.95 Either cuDNN and the gemm ver-sion can be dis-abled us-ing
the Theano flags
[650] [651]
Underfull \hbox (badness 10000) in paragraph at lines 51673--51677
[]\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 51679--51683
[]\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 51685--51687
[]\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 51691--51693
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 51694--51698
[]
Underfull \hbox (badness 10000) in paragraph at lines 51699--51701
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 51702--51704
[]
Underfull \hbox (badness 10000) in paragraph at lines 51705--51708
[]\T1/ptm/m/n/10.95 pad
Underfull \hbox (badness 10000) in paragraph at lines 51723--51724
[]\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
[652]
Underfull \hbox (badness 10000) in paragraph at lines 51739--51740
[]\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 51768--51768
[]\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 51768--51768
\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 51768--51768
\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 51787--51789
[]\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 51791--51795
[]\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
[653] [654]
Underfull \hbox (badness 10000) in paragraph at lines 51870--51874
[]\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 51876--51880
[]\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 51888--51890
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 51891--51895
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 51896--51898
[]\T1/ptm/m/n/10.95 width, then
[655]
Underfull \hbox (badness 10000) in paragraph at lines 51950--51950
[]\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-
[656]
Underfull \hbox (badness 8019) in paragraph at lines 52026--52030
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 52073--52073
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 sub-sam-ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 52073--52073
\T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[657]
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\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 52167--52167
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\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 52177--52177
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.98465pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (67.66975pt too wide) in paragraph at lines 52177--52177
\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 52177--52177
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (17.30025pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (46.51445pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (55.6356pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (54.53018pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 un-
Overfull \hbox (51.54047pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
[658]
Overfull \hbox (50.64276pt too wide) in paragraph at lines 52194--52194
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (44.55464pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (74.23975pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (23.87024pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (53.08444pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (62.2056pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (61.10017pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 un-
Overfull \hbox (58.11046pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 52211--52211
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 52211--52211
\T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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
,
[659]
Overfull \hbox (44.07277pt too wide) in paragraph at lines 52221--52221
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.98465pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (67.66975pt too wide) in paragraph at lines 52221--52221
\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 52221--52221
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (17.30025pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (46.51445pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (55.6356pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (58.36269pt too wide) in paragraph at lines 52221--52221
\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 52238--52238
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (44.55464pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (74.23975pt too wide) in paragraph at lines 52238--52238
\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 52238--52238
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (23.87024pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (53.08444pt too wide) in paragraph at lines 52238--52238
\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 52238--52238
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (62.2056pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (64.93268pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
[660]
Overfull \hbox (10.9274pt too wide) in paragraph at lines 52255--52255
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Overfull \hbox (30.93279pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (24.84467pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (54.52977pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 sub-
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (18.15424pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (33.37447pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (56.4896pt too wide) in paragraph at lines 52255--52255
\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 52255--52255
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 un-
Overfull \hbox (38.40048pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Overfull \hbox (17.49739pt too wide) in paragraph at lines 52319--52319
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.50278pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (31.41466pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (61.09976pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 sub-
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (24.72423pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (39.94446pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (63.05959pt too wide) in paragraph at lines 52319--52319
\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 52319--52319
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 un-
Overfull \hbox (44.97047pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
[661]
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (8.53983pt too wide) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (10.49965pt too wide) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 un-
[662]
Underfull \hbox (badness 10000) in paragraph at lines 52415--52417
[]\T1/ptm/m/n/10.95 Generates out-put of
[663]
Underfull \hbox (badness 10000) in paragraph at lines 52437--52439
[]\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 52470--52470
[]\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 52515--52520
[]\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)
[664]
Underfull \hbox (badness 10000) in paragraph at lines 52545--52545
[]\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 52577--52577
[]\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 52585--52587
[]\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 52608--52608
[]\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 52616--52618
[]\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*
[665]
Underfull \hbox (badness 10000) in paragraph at lines 52639--52639
[]\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 52639--52639
\T1/ptm/m/it/10.95 frac_ratio=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52639--52639
\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 52639--52639
\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 52639--52639
\T1/ptm/m/it/10.95 use_1D_kernel=True\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52654--52659
[]\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
[666]
Underfull \hbox (badness 10000) in paragraph at lines 52711--52712
[]\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 52736--52736
[]\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 52736--52736
\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 52736--52736
\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 52736--52736
\T1/ptm/m/it/10.95 fil-ter_dilation=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52736--52736
\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 52755--52761
[]\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/
[667]
Overfull \hbox (18.69075pt too wide) in paragraph at lines 52806--52806
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 ker-
Overfull \hbox (5.52887pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 out-
Overfull \hbox (6.14214pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (4.91574pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\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 52806--52806
\T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52811--52814
[]\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 52816--52819
[]\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 52821--52824
[]\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 52826--52830
[]\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 52832--52834
[]\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
[668]
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
[]\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\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 52880--52880
\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 52880--52880
\T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (8.53983pt too wide) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\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 52880--52880
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 fil-
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 un-
[669]
Underfull \hbox (badness 10000) in paragraph at lines 52907--52914
[]\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 52923--52925
[]\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 52951--52954
[]\T1/ptm/m/n/10.95 pad in-put
[670]
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
[]\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 53016--53016
\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 53016--53016
\T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (15.10982pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (3.07567pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (1.97025pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 un-
[671]
Underfull \hbox (badness 10000) in paragraph at lines 53047--53049
[]\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 53075--53078
[]\T1/ptm/m/n/10.95 pad in-put
[672]
Underfull \hbox (badness 10000) in paragraph at lines 53159--53163
[]\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 53165--53169
[]\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 53177--53179
[]\T1/ptm/m/n/10.95 Generates
[673]
Underfull \hbox (badness 10000) in paragraph at lines 53180--53184
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 53185--53187
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
[]\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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 53239--53239
\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 53239--53239
\T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (8.53983pt too wide) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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 53239--53239
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 fil-
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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
,
[674]
Underfull \hbox (badness 10000) in paragraph at lines 53262--53269
[]\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/
[675]
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
[]\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 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (15.10982pt too wide) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (3.07567pt too wide) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53375--53380
[]\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/
[676]
Underfull \hbox (badness 10000) in paragraph at lines 53467--53467
[]\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 ,
[677]
Overfull \hbox (6.26228pt too wide) in paragraph at lines 53513--53513
[]\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 bor-
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\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 53513--53513
\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 53513--53513
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53522--53525
[]\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 53527--53530
[]\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)
[678]
Underfull \hbox (badness 10000) in paragraph at lines 53532--53536
[]\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 53538--53540
[]\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 53546--53547
[]\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 53549--53550
[]\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 53567--53567
[]\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (32.4221pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (31.19571pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.52524pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (0.78772pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 di-
Underfull \hbox (badness 10000) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 la-
Overfull \hbox (8.27748pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53575--53576
[]\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
[679]
Underfull \hbox (badness 10000) in paragraph at lines 53587--53588
[]\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 53590--53591
[]\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 53607--53607
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 bor-
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\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 53607--53607
\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 53607--53607
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 un-
Overfull \hbox (18.6905pt too wide) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53616--53619
[]\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 53621--53624
[]\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 53626--53630
[]\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 53632--53634
[]\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
[680]
Underfull \hbox (badness 10000) in paragraph at lines 53640--53641
[]\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 53643--53644
[]\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 53662--53662
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (38.9921pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (37.7657pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Overfull \hbox (10.09523pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (7.35771pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 di-
Overfull \hbox (3.4048pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 la-
Overfull \hbox (14.84747pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53671--53672
[]\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 53683--53684
[]\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 53686--53687
[]\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 53703--53703
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\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 53703--53703
\T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 )
[681]
Underfull \hbox (badness 10000) in paragraph at lines 53708--53711
[]\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 53713--53721
[]\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 53723--53727
[]\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 53729--53731
[]\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 53736--53737
[]\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\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 53759--53760
[]\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
[682]
Underfull \hbox (badness 10000) in paragraph at lines 53762--53763
[]\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 53771--53772
[]\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 53774--53775
[]\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 53791--53791
[]\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 53791--53791
\T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\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 53791--53791
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 point-
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\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 53791--53791
\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 53815--53819
[]\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
[683]
Underfull \hbox (badness 10000) in paragraph at lines 53821--53825
[]\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 53827--53831
[]\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 53840--53842
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 53843--53847
[]
Underfull \hbox (badness 10000) in paragraph at lines 53848--53850
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 53851--53853
[]\T1/ptm/m/n/10.95 and
Underfull \hbox (badness 10000) in paragraph at lines 53858--53861
[]
[684]
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
[]\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 53895--53895
\T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\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 53895--53895
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 point-
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\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 53895--53895
\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 53919--53923
[]\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 53925--53929
[]\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 53931--53935
[]\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
[685]
Underfull \hbox (badness 10000) in paragraph at lines 53944--53946
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 53947--53951
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 53952--53954
[]\T1/ptm/m/n/10.95 width, then
[686]
Underfull \hbox (badness 10000) in paragraph at lines 54083--54084
[]\T1/ptm/m/n/10.95 Precision: sig-moid(with or with-out amdlibm) > ul-tra_fast
_sigmoid >
[687] [688 <./sigmoid_prec.png>] [689] [690]
Underfull \hbox (badness 10000) in paragraph at lines 54383--54385
[]\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]
Underfull \hbox (badness 10000) in paragraph at lines 54423--54425
[]\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e
-men-t-wise
[692] [693]
Underfull \hbox (badness 10000) in paragraph at lines 54560--54563
[]\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 54568--54573
[]\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
[694] [695]
Underfull \hbox (badness 10000) in paragraph at lines 54691--54691
[]\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 ,
[696] [697]
Underfull \hbox (badness 10000) in paragraph at lines 54855--54855
[]\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 54855--54855
\T1/ptm/m/it/10.95 axes='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 54855--54855
\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 54855--54855
\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 54855--54855
\T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 ,
[698]
Underfull \hbox (badness 10000) in paragraph at lines 54953--54953
\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 ,
[699] [700] [701]
Underfull \hbox (badness 10000) in paragraph at lines 55148--55150
[]\T1/ptm/m/n/10.95 Which blocks
[702 <./blocksparse.png>] [703] [704] [705]
Overfull \hbox (77.97385pt too wide) in paragraph at lines 55452--55452
[]\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 55452--55452
\T1/ptm/m/it/10.95 openmp=None\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 5260) in paragraph at lines 55471--55473
[]\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
[706] [707]
Underfull \hbox (badness 10000) in paragraph at lines 55678--55678
[]\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 55695--55695
[]\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 55712--55712
[]\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 ,
[708] [709]
Overfull \hbox (77.18507pt too wide) in paragraph at lines 55794--55794
[]\T1/ptm/m/it/10.95 raw_random.RandomStreamsBase\T1/pcr/m/n/10.95 )
[710]
Underfull \hbox (badness 10000) in paragraph at lines 55909--55909
[]\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 55909--55909
\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 55919--55920
[]\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 55922--55923
[]\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 55974--55974
[]\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 ,
[711]
Underfull \hbox (badness 6741) in paragraph at lines 55986--55988
[]\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 55994--55998
[]\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 56005--56008
[]\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 56038--56040
[]\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 56050--56050
[]\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 56050--56050
\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 ,
[712]
Underfull \hbox (badness 6741) in paragraph at lines 56062--56064
[]\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 56070--56073
[]\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 56081--56084
[]\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 ,
[713] [714] [715] [716] [717]
Underfull \hbox (badness 10000) in paragraph at lines 56500--56500
[]\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-
[718] [719]
Underfull \hbox (badness 10000) in paragraph at lines 56667--56667
[]\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 56667--56667
\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 ,
[720] [721] [722]
Underfull \hbox (badness 10000) in paragraph at lines 56975--56975
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[723]
Underfull \hbox (badness 10000) in paragraph at lines 57051--57051
[]\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 ,
[724]
Underfull \hbox (badness 10000) in paragraph at lines 57143--57143
[]\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 ,
[725] [726] [727] [728] [729] [730] [731] [732] [733]
Underfull \hbox (badness 10000) in paragraph at lines 58018--58018
[]\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 ,
[734]
Underfull \hbox (badness 10000) in paragraph at lines 58174--58174
[]\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-
[735]
Underfull \hbox (badness 10000) in paragraph at lines 58190--58191
[]\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 58193--58194
[]\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 58196--58198
[]\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
[736] [737] [738] [739] [740] [741] [742] [743] [744] [745] [746]
Underfull \hbox (badness 10000) in paragraph at lines 59264--59264
[]\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 ,
[747] [748] [749] [750] [751] [752] [753]
Underfull \hbox (badness 10000) in paragraph at lines 59891--59893
[]\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
[754]
Underfull \hbox (badness 10000) in paragraph at lines 60008--60010
\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-
[755]
Underfull \hbox (badness 10000) in paragraph at lines 60130--60130
[]\T1/ptm/m/it/10.95 OP\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 max_input_fct=<fu
nction
[756]
Underfull \hbox (badness 10000) in paragraph at lines 60190--60190
[]\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 el-em-wise=Tr
ue\T1/ptm/m/n/10.95 ,
[757] [758] [759]
Underfull \hbox (badness 10000) in paragraph at lines 60548--60548
[]\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9
5 lower=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 over-
[760] [761] [762] [763] [764] [765] [766] [767] [768] [769] [770] [771]
[772] [773] [774 <./plot_fft1.png>] [775] [776] [777] [778] [779] [780]
[781] [782]
Underfull \hbox (badness 10000) in paragraph at lines 62633--62633
[]\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-
[783] [784]
Underfull \hbox (badness 10000) in paragraph at lines 62829--62833
[]\T1/ptm/m/n/10.95 Theano
[785]
Underfull \hbox (badness 10000) in paragraph at lines 63002--63004
[]\T1/ptm/m/n/10.95 Currently only vari-able cre-ated by Ad-vanced-Sub-ten-sor1
is sup-ported. i.e.
[786] [787] [788] [789] [790]
Underfull \hbox (badness 10000) in paragraph at lines 63307--63308
[]\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 63307--63308
\T1/ptm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109
a06ca04b360.so: un-de-
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63342.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63342.
[791] [792] [793] [794] [795] [796]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63817.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63817.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63823.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63823.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63829.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63829.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63835.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63835.
[797] [798] [799] [800] [801] [802] [803] [804]
Underfull \hbox (badness 10000) in paragraph at lines 64345--64346
[]\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 64349--64350
[]\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it
/10.95 Unix,
[805]
Underfull \hbox (badness 10000) in paragraph at lines 64391--64392
[]\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 64394--64395
[]\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 64398--64399
[]\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams
[806] (./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
[807]
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
[808]
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
[809]
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
Underfull \hbox (badness 10000) in paragraph at lines 230--231
[]\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.GpuTri
Overfull \hbox (12.99205pt too wide) in paragraph at lines 231--233
[]\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 234--236
[]\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 236--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.GpuCorr3dMM_gradWeights
Underfull \hbox (badness 10000) in paragraph at lines 238--239
[]\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 239--241
[]\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 241--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.GpuCorrMM_gradWeights
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.GpuDot22
Underfull \hbox (badness 10000) in paragraph at lines 244--245
[]\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 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.GpuGemv
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.blas.GpuGer
Underfull \hbox (badness 10000) 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.DnnVersion
Overfull \hbox (2.25044pt too wide) in paragraph at lines 249--250
[]\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 250--252
[]\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 252--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.GpuCAReduceCuda
Overfull \hbox (7.22098pt too wide) in paragraph at lines 254--255
[]\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 256--257
[]\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 257--259
[]\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 259--261
[]\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 261--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.GpuCrossentropySoftmaxArgmax1HotWithBias
Underfull \hbox (badness 10000) in paragraph at lines 263--264
[]\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 264--266
[]\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 266--268
[]\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 268--270
[]\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 270--272
[]\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 272--274
[]\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 274--275
[]\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 276--278
[]\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 278--280
[]\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 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.CAReduce
Underfull \hbox (badness 10000) in paragraph at lines 281--282
[]\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 282--284
[]\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 284--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.CpuContiguous
Underfull \hbox (badness 10000) in paragraph at lines 286--287
[]\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 287--289
[]\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
[810]
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.GetItem
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.Length
Underfull \hbox (badness 10000) in paragraph at lines 293--294
[]\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 295--296
[]\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 297--299
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 297--299
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.DeepCopyOp
Underfull \hbox (badness 10000) in paragraph at lines 299--301
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 301--303
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 301--303
\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 303--305
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 303--305
\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 305--307
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 305--307
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape
Underfull \hbox (badness 10000) in paragraph at lines 307--309
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 307--309
\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 309--311
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 309--311
\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 311--313
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 311--313
\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 313--315
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 313--315
\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 315--317
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 315--317
\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 317--319
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 317--319
\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 319--321
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 321--323
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 321--323
\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 323--325
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (5.52364pt too wide) in paragraph at lines 323--325
\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 325--327
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (4.93243pt too wide) in paragraph at lines 325--327
\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 327--329
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 327--329
\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 329--331
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 329--331
\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 331--333
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 331--333
\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 333--335
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 333--335
\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 335--337
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 335--337
\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 337--339
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 337--339
\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 339--341
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 339--341
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuTri
Underfull \hbox (badness 10000) in paragraph at lines 341--343
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 341--343
\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 343--345
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (0.66197pt too wide) in paragraph at lines 343--345
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM
Underfull \hbox (badness 10000) in paragraph at lines 345--347
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 345--347
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM
Underfull \hbox (badness 10000) in paragraph at lines 347--349
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 349--351
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 351--353
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 351--353
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGemmBatch
[811]
Underfull \hbox (badness 10000) in paragraph at lines 353--355
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 355--357
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 355--357
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGer method\T1/ptm
/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 357--359
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 357--359
\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 359--361
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 359--361
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 361--363
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 361--363
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc
Underfull \hbox (badness 10000) in paragraph at lines 363--365
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 363--365
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc
Underfull \hbox (badness 10000) in paragraph at lines 365--367
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 365--367
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 367--369
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (21.62004pt too wide) in paragraph at lines 367--369
\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 369--371
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (97.00984pt too wide) in paragraph at lines 369--371
\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 371--373
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (118.50453pt too wide) in paragraph at lines 371--373
\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 373--375
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 373--375
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmax
Underfull \hbox (badness 10000) in paragraph at lines 375--377
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (4.31917pt too wide) in paragraph at lines 375--377
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmaxWithBias
Underfull \hbox (badness 10000) in paragraph at lines 377--379
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 377--379
\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 379--381
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (89.89287pt too wide) in paragraph at lines 379--381
\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 381--383
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (44.45059pt too wide) in paragraph at lines 381--383
\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 383--385
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 383--385
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 385--387
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 385--387
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 387--389
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 387--389
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 389--391
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 389--391
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuContextType
Underfull \hbox (badness 10000) in paragraph at lines 391--393
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 391--393
\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 393--395
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 393--395
\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 395--397
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (8.50159pt too wide) in paragraph at lines 395--397
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSC
Underfull \hbox (badness 10000) in paragraph at lines 397--399
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (7.88846pt too wide) in paragraph at lines 397--399
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSR
Underfull \hbox (badness 10000) in paragraph at lines 399--401
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 399--401
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.MulWithoutZeros
Underfull \hbox (badness 10000) in paragraph at lines 401--403
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 401--403
\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 403--405
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 403--405
\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 405--407
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 407--409
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 407--409
\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 409--411
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 411--413
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 411--413
\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 413--415
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 413--415
\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 415--417
[]\T1/pcr/m/n/10.95 c_code_cache_version()
[812]
Underfull \hbox (badness 10000) in paragraph at lines 417--419
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 417--419
\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 419--421
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 419--421
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Length method\T1/
ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 421--423
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 6125) in paragraph at lines 421--423
\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 423--424
[]\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 424--426
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Overfull \hbox (12.44383pt too wide) in paragraph at lines 424--426
\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 426--428
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Overfull \hbox (16.91151pt too wide) in paragraph at lines 426--428
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY
Underfull \hbox (badness 10000) in paragraph at lines 428--430
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 428--430
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 10000) in paragraph at lines 430--432
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Underfull \hbox (badness 10000) in paragraph at lines 430--432
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.CAReduce
Underfull \hbox (badness 10000) in paragraph at lines 432--434
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Underfull \hbox (badness 10000) in paragraph at lines 432--434
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 435--437
[]\T1/pcr/m/n/10.95 c_code_helper()
Overfull \hbox (0.66197pt too wide) in paragraph at lines 435--437
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM
Underfull \hbox (badness 10000) in paragraph at lines 437--439
[]\T1/pcr/m/n/10.95 c_code_helper()
Underfull \hbox (badness 10000) in paragraph at lines 437--439
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM
Underfull \hbox (badness 10000) in paragraph at lines 439--441
[]\T1/pcr/m/n/10.95 c_code_reduce_01X()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 439--441
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 10000) in paragraph at lines 443--445
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 443--445
\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 445--446
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 445--446
\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 446--447
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 446--447
\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 447--449
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 447--449
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 449--451
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 449--451
\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 453--455
[]\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 455--456
[]\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 456--457
[]\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 457--458
[]\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 459--460
[]\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 460--462
[]\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 463--464
[]\T1/pcr/m/n/10.95 c_element_type()
Underfull \hbox (badness 10000) in paragraph at lines 463--464
\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 464--466
[]\T1/pcr/m/n/10.95 c_element_type()
Underfull \hbox (badness 10000) in paragraph at lines 464--466
\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 467--469
[]\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 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.CDataType
Underfull \hbox (badness 10000) in paragraph at lines 470--471
[]\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 471--472
[]\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 472--473
[]\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 474--475
[]\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 475--477
[]\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 477--478
[]\T1/pcr/m/n/10.95 c_extract_out()
Underfull \hbox (badness 10000) in paragraph at lines 477--478
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm
/m/n/10.95 ),
[813]
Underfull \hbox (badness 10000) in paragraph at lines 480--482
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 480--482
\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 483--485
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (5.52364pt too wide) in paragraph at lines 483--485
\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 485--487
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (4.93243pt too wide) in paragraph at lines 485--487
\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 487--489
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 487--489
\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 489--491
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 489--491
\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 491--493
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (0.66197pt too wide) in paragraph at lines 491--493
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM
Underfull \hbox (badness 10000) in paragraph at lines 493--495
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 493--495
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM
Underfull \hbox (badness 10000) in paragraph at lines 495--496
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 495--496
\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 496--497
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 496--497
\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 497--499
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 497--499
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 499--501
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 499--501
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc
Underfull \hbox (badness 10000) in paragraph at lines 501--503
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 501--503
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc
Underfull \hbox (badness 10000) in paragraph at lines 503--505
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 503--505
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase
Underfull \hbox (badness 10000) in paragraph at lines 505--507
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (118.50453pt too wide) in paragraph at lines 505--507
\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 507--509
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 507--509
\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 509--511
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (89.89287pt too wide) in paragraph at lines 509--511
\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 511--513
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 511--513
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 513--515
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 513--515
\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 517--519
[]\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 519--520
[]\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 520--522
[]\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 522--524
[]\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 524--526
[]\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 526--528
[]\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 528--530
[]\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 530--532
[]\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 532--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.BaseGpuCorr3dMM
Overfull \hbox (24.06241pt too wide) in paragraph at lines 534--536
[]\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 536--537
[]\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 537--538
[]\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 538--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.DnnBase
Overfull \hbox (24.82932pt too wide) in paragraph at lines 540--542
[]\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 542--544
[]\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 544--546
[]\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 546--548
[]\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
[814]
Overfull \hbox (16.75864pt too wide) in paragraph at lines 548--550
[]\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 550--552
[]\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 552--554
[]\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
Overfull \hbox (55.97046pt too wide) in paragraph at lines 554--556
[]\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 556--558
[]\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 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.GpuCrossentropySoftmaxArgmax1HotWithBias
Overfull \hbox (38.66959pt too wide) in paragraph at lines 561--563
[]\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 563--565
[]\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 565--567
[]\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 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.subtensor.GpuIncSubtensor
Overfull \hbox (8.9188pt too wide) in paragraph at lines 569--570
[]\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 570--572
[]\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 575--576
[]\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 578--579
[]\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 580--581
[]\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 584--586
[]\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 586--587
[]\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 587--589
[]\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 589--591
[]\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 593--595
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 593--595
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 595--597
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 595--597
\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 597--599
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 597--599
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 599--601
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 599--601
\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 601--602
[]\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 604--606
[]\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 606--607
[]\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 607--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.DnnBase
Overfull \hbox (0.71742pt too wide) in paragraph at lines 608--609
[]\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 609--611
[]\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 611--613
[]\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 613--615
[]\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 615--617
[]\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 619--621
[]\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 621--622
[]\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.
gof.type.CDataType
[815]
Overfull \hbox (7.28741pt too wide) in paragraph at lines 623--624
[]\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 624--626
[]\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 626--628
[]\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.
gpuarray.dnn.GpuDnnPoolDesc
Overfull \hbox (38.14441pt too wide) in paragraph at lines 628--630
[]\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 630--632
[]\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 632--633
[]\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 635--637
[]\T1/pcr/m/n/10.95 c_no_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 635--637
\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 640--642
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 640--642
\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 642--643
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 642--643
\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 643--644
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 643--644
\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 645--647
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 645--647
\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 647--649
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 647--649
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 649--651
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 649--651
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 10000) in paragraph at lines 651--653
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (21.62004pt too wide) in paragraph at lines 651--653
\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 653--655
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (44.45059pt too wide) in paragraph at lines 653--655
\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 655--657
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 655--657
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 657--659
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 657--659
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 659--661
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 659--661
\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 661--663
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 661--663
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 665--667
[]\T1/pcr/m/n/10.95 c_support_code_apply()
Underfull \hbox (badness 10000) in paragraph at lines 665--667
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape
Underfull \hbox (badness 10000) in paragraph at lines 667--669
[]\T1/pcr/m/n/10.95 c_support_code_apply()
Underfull \hbox (badness 10000) in paragraph at lines 667--669
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 670--672
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 670--672
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 672--674
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 672--674
\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 674--676
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Overfull \hbox (89.89287pt too wide) in paragraph at lines 674--676
\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 676--678
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 676--678
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 678--680
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 678--680
\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 684--685
[]\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 685--686
[]\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
[816]
Underfull \hbox (badness 10000) in paragraph at lines 690--691
[]\T1/pcr/m/n/10.95 CAReduceDtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i
n
Underfull \hbox (badness 10000) in paragraph at lines 697--699
[]\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 703--704
[]\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 704--705
[]\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 705--707
[]\T1/pcr/m/n/10.95 check_and_convert_boolean_masks()
Underfull \hbox (badness 10000) in paragraph at lines 705--707
\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 709--711
[]\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 711--712
[]\T1/pcr/m/n/10.95 check_integrity()
Underfull \hbox (badness 10000) in paragraph at lines 711--712
\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 712--714
[]\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 714--716
[]\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 718--720
[]\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 723--724
[]\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 729--731
[]\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 738--739
[]\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 739--740
[]\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 740--741
[]\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 741--742
[]\T1/pcr/m/n/10.95 clone_get_equiv()
Underfull \hbox (badness 10000) in paragraph at lines 741--742
\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 742--744
[]\T1/pcr/m/n/10.95 clone_with_new_inputs()
Underfull \hbox (badness 10000) in paragraph at lines 744--746
[]\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 748--749
[]\T1/pcr/m/n/10.95 collect_callbacks()
Underfull \hbox (badness 10000) in paragraph at lines 748--749
\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 750--751
[]\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 754--755
[]\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-
[817]
Underfull \hbox (badness 10000) in paragraph at lines 763--764
[]\T1/pcr/m/n/10.95 conf() \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 765--766
[]\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 766--768
[]\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 770--771
[]\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 776--777
[]\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 781--782
[]\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 782--783
[]\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 783--785
[]\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 786--788
[]\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 790--792
[]\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 793--794
[]\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 796--798
[]\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 798--800
[]\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 800--801
[]\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 802--803
[]\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 803--804
[]\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 804--806
[]\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 806--808
[]\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 808--809
[]\T1/pcr/m/n/10.95 convert_variable()
Underfull \hbox (badness 10000) in paragraph at lines 809--811
[]\T1/pcr/m/n/10.95 convert_variable()
Underfull \hbox (badness 10000) in paragraph at lines 809--811
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 811--812
[]\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 812--813
[]\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 813--815
[]\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 815--816
[]\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 816--818
[]\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 818--820
[]\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 824--825
[]\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 826--827
[]\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 832--833
[]\T1/pcr/m/n/10.95 csm_properties \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod
-ule
[818]
Underfull \hbox (badness 10000) in paragraph at lines 837--838
[]\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 859--860
[]\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 860--861
[]\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 863--865
[]\T1/pcr/m/n/10.95 default_infer_shape()
Underfull \hbox (badness 5374) in paragraph at lines 863--865
\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 866--867
[]\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 867--868
[]\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 868--869
[]\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 884--886
[]\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 886--887
[]\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 890--891
[]\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 891--893
[]\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 893--895
[]\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 897--898
[]\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 898--899
[]\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 899--900
[]\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 900--901
[]\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 902--903
[]\T1/pcr/m/n/10.95 dnn_spatialtf() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo
d-ule
[819]
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.basic_ops.GpuAlloc
Underfull \hbox (badness 10000) in paragraph at lines 908--910
[]\T1/pcr/m/n/10.95 do_constant_folding()
Overfull \hbox (5.52364pt too wide) in paragraph at lines 908--910
\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 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.DnnVersion
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.gpuarray.dnn.GpuDnnConvDesc
Underfull \hbox (badness 10000) in paragraph at lines 914--916
[]\T1/pcr/m/n/10.95 do_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 914--916
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc
Underfull \hbox (badness 10000) in paragraph at lines 916--918
[]\T1/pcr/m/n/10.95 do_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 916--918
\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 918--920
[]\T1/pcr/m/n/10.95 do_constant_folding()
Overfull \hbox (41.0776pt too wide) in paragraph at lines 918--920
\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 920--922
[]\T1/pcr/m/n/10.95 do_type_checking()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 920--922
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 930--931
[]\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 931--933
[]\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 934--936
[]\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 953--954
[]\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 954--955
[]\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 955--957
[]\T1/pcr/m/n/10.95 enum_from_alias()
Underfull \hbox (badness 10000) in paragraph at lines 955--957
\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 970--971
[]\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 971--973
[]\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 975--976
[]\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 976--977
[]\T1/pcr/m/n/10.95 execute_callbacks()
Underfull \hbox (badness 10000) in paragraph at lines 976--977
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/
n/10.95 ),
[820]
Overfull \hbox (3.13728pt too wide) in paragraph at lines 984--985
[]\T1/pcr/m/n/10.95 extended() \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 995--996
[]\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 996--997
[]\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 997--999
[]\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 1000--1001
[]\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 1002--1003
[]\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 1004--1005
[]\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 1007--1008
[]\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 1009--1010
[]\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 1012--1014
[]\T1/pcr/m/n/10.95 filter_variable()
Underfull \hbox (badness 10000) in paragraph at lines 1012--1014
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 1014--1015
[]\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 1015--1017
[]\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 1019--1021
[]\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 1024--1025
[]\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 1026--1028
[]\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 1034--1036
[]\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 1036--1037
[]\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 1038--1039
[]\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 1042--1043
[]\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 1053--1055
[]\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
[821]
Underfull \hbox (badness 10000) in paragraph at lines 1055--1056
[]\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 1057--1058
[]\T1/pcr/m/n/10.95 get_aliases() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.
gof.type.EnumType
Underfull \hbox (badness 10000) in paragraph at lines 1060--1062
[]\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 1062--1063
[]\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 1065--1067
[]\T1/pcr/m/n/10.95 get_conv_gradinputs_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 1069--1071
[]\T1/pcr/m/n/10.95 get_conv_gradweights_shape_1axis()
Underfull \hbox (badness 10000) in paragraph at lines 1069--1071
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule
Underfull \hbox (badness 10000) in paragraph at lines 1071--1073
[]\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 1073--1075
[]\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 1075--1076
[]\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 1076--1078
[]\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 1078--1080
[]\T1/pcr/m/n/10.95 get_helper_c_code_args()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 1078--1080
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 1081--1082
[]\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 1083--1084
[]\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 1085--1087
[]\T1/pcr/m/n/10.95 get_out_shape()
Underfull \hbox (badness 10000) in paragraph at lines 1085--1087
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConv
Underfull \hbox (badness 10000) in paragraph at lines 1087--1089
[]\T1/pcr/m/n/10.95 get_output_info()
Underfull \hbox (badness 10000) in paragraph at lines 1087--1089
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 1089--1091
[]\T1/pcr/m/n/10.95 get_param_size()
Overfull \hbox (16.27727pt too wide) in paragraph at lines 1092--1094
[]\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 1094--1095
[]\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 1095--1096
[]\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 1096--1097
[]\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 1097--1099
[]\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 1099--1101
[]\T1/pcr/m/n/10.95 get_scalar_constant_value()
Underfull \hbox (badness 10000) in paragraph at lines 1099--1101
\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 1101--1102
[]\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 1104--1106
[]\T1/pcr/m/n/10.95 get_substream_rstates()
Overfull \hbox (26.60251pt too wide) in paragraph at lines 1104--1106
\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 1106--1107
[]\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 1107--1109
[]\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 1109--1111
[]\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 1115--1116
[]\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 1117--1118
[]\T1/pcr/m/n/10.95 GetItemListGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class
in
[822]
Overfull \hbox (59.93423pt 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.CGpuKernelBase
Overfull \hbox (18.3358pt 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.basic_ops.GpuEye
Overfull \hbox (52.63068pt 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.basic_ops.GpuKernelBase
Overfull \hbox (14.71129pt 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.basic_ops.GpuTri
Overfull \hbox (64.40192pt 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.elemwise.GpuCAReduceCPY
Overfull \hbox (68.04834pt 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.elemwise.GpuCAReduceCuda
Overfull \hbox (69.11044pt too wide) in paragraph at lines 1134--1136
[]\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 1136--1138
[]\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 1138--1140
[]\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 1140--1141
[]\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 1141--1143
[]\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 1143--1145
[]\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 1145--1147
[]\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 1148--1149
[]\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 1152--1154
[]\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 1154--1156
[]\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 1156--1158
[]\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 1160--1162
[]\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 1162--1164
[]\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 1165--1166
[]\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 1166--1167
[]\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 1169--1170
[]\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 1170--1171
[]\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 1171--1172
[]\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 1173--1174
[]\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 1174--1175
[]\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 1175--1176
[]\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 1176--1177
[]\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 1178--1180
[]\T1/pcr/m/n/10.95 GpuConnectionistTemporalClassification
Underfull \hbox (badness 10000) in paragraph at lines 1180--1181
[]\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 1181--1182
[]\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 1183--1184
[]\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 1184--1186
[]\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 1187--1188
[]\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 1188--1189
[]\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 1189--1191
[]\T1/pcr/m/n/10.95 GpuCrossentropySoftmax1HotWithBiasDx
Overfull \hbox (32.92218pt too wide) in paragraph at lines 1191--1193
[]\T1/pcr/m/n/10.95 GpuCrossentropySoftmaxArgmax1HotWithBias
Underfull \hbox (badness 10000) in paragraph at lines 1193--1195
[]\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 1195--1196
[]\T1/pcr/m/n/10.95 GpuCusolverSolve \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas
s in
[823]
Underfull \hbox (badness 10000) in paragraph at lines 1196--1197
[]\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 1197--1198
[]\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 1198--1199
[]\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 1199--1200
[]\T1/pcr/m/n/10.95 GpuDnnBatchNormInference \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 GpuDnnConvDesc \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 GpuDnnConvGradI \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 GpuDnnConvGradW \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 GpuDnnDropoutOp \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class
in
Underfull \hbox (badness 10000) in paragraph at lines 1206--1207
[]\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 1207--1208
[]\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 1208--1209
[]\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 1209--1210
[]\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 1210--1211
[]\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 1211--1212
[]\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 1214--1215
[]\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 1215--1216
[]\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 1216--1217
[]\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 1217--1218
[]\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 1218--1219
[]\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 1219--1220
[]\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 1221--1222
[]\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 1224--1225
[]\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 1226--1227
[]\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 1231--1232
[]\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 1232--1233
[]\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 1234--1235
[]\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 1236--1237
[]\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 1238--1239
[]\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 1241--1242
[]\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 1243--1244
[]\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 1245--1246
[]\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 1248--1250
[]\T1/pcr/m/n/10.95 grab_cpu_scalar() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in
mod-ule
[824]
Underfull \hbox (badness 10000) in paragraph at lines 1252--1253
[]\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 1253--1255
[]\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 1256--1257
[]\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.
nlinalg.MatrixInverse
Underfull \hbox (badness 10000) in paragraph at lines 1258--1259
[]\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 1260--1261
[]\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 1278--1279
[]\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 1283--1284
[]\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 1284--1285
[]\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 1285--1286
[]\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 1286--1287
[]\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 1287--1288
[]\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 1290--1291
[]\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 1291--1292
[]\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 1293--1294
[]\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 1300--1301
[]\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 1302--1303
[]\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 1304--1306
[]\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 1310--1312
[]\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 1317--1318
[]\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 1320--1322
[]\T1/pcr/m/n/10.95 infer_context_name() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95
in mod-ule
[825]
Underfull \hbox (badness 10000) in paragraph at lines 1325--1326
[]\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 1326--1328
[]\T1/pcr/m/n/10.95 inline_reduce() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo
d-ule
Underfull \hbox (badness 10000) in paragraph at lines 1330--1332
[]\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 1335--1337
[]\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 1340--1341
[]\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 1346--1348
[]\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 1348--1349
[]\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 1350--1351
[]\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 1356--1357
[]\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 1357--1358
[]\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 1358--1359
[]\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 1359--1360
[]\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 1361--1362
[]\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 1362--1363
[]\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 1375--1377
[]\T1/pcr/m/n/10.95 kernel_version()
Overfull \hbox (5.14027pt too wide) in paragraph at lines 1375--1377
\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 1381--1382
[]\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 1382--1383
[]\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 1399--1400
[]\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 1400--1401
[]\T1/pcr/m/n/10.95 list_contexts() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo
d-ule
[826]
Underfull \hbox (badness 10000) in paragraph at lines 1401--1402
[]\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 1406--1407
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 1407--1409
[]\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 1409--1410
[]\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 1426--1427
[]\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 1427--1428
[]\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 1428--1429
[]\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 1430--1431
[]\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 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.GpuAlloc
Overfull \hbox (39.87405pt 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.GpuAllocEmpty
Overfull \hbox (39.28285pt 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.GpuContiguous
Overfull \hbox (5.19582pt too wide) in paragraph at lines 1437--1438
[]\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 1438--1440
[]\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 1440--1442
[]\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 1442--1444
[]\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 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.basic_ops.GpuSplit
Overfull \hbox (18.19356pt 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.basic_ops.GpuToGpu
Overfull \hbox (1.5713pt 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.basic_ops.GpuTri
Overfull \hbox (32.70203pt 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.basic_ops.HostFromGpu
Overfull \hbox (13.72581pt too wide) in paragraph at lines 1451--1452
[]\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 1452--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.GpuCorr3dMM_gradInputs
Overfull \hbox (73.99416pt too wide) in paragraph at lines 1454--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.GpuCorr3dMM_gradWeights
Overfull \hbox (2.77583pt too wide) 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.GpuCorrMM
Overfull \hbox (56.14577pt too wide) in paragraph at lines 1457--1459
[]\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 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.blas.GpuCorrMM_gradWeights
Underfull \hbox (badness 10000) in paragraph at lines 1461--1462
[]\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 1462--1463
[]\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 1463--1464
[]\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 1464--1465
[]\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 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.blas.GpuGer
Overfull \hbox (30.58902pt too wide) in paragraph at lines 1467--1469
[]\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 1469--1471
[]\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 1471--1473
[]\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 1473--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.GpuDnnConv
Overfull \hbox (24.82932pt too wide) in paragraph at lines 1474--1476
[]\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
[827]
Overfull \hbox (29.538pt too wide) in paragraph at lines 1476--1478
[]\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 1478--1480
[]\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 1480--1482
[]\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 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.GpuDnnPoolDesc
Overfull \hbox (23.0228pt too wide) in paragraph at lines 1485--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.GpuDnnPoolGrad
Overfull \hbox (24.66504pt 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.GpuDnnReduction
Overfull \hbox (51.88657pt 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.GpuDnnRNNGradInputs
Overfull \hbox (58.78497pt 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.GpuDnnRNNGradWeights
Overfull \hbox (14.9416pt too wide) in paragraph at lines 1493--1494
[]\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 1494--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.GpuDnnSoftmax
Overfull \hbox (38.49486pt 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.GpuDnnSoftmaxGrad
Overfull \hbox (61.45668pt 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.dnn.GpuDnnTransformerGradI
Overfull \hbox (63.8985pt 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.dnn.GpuDnnTransformerGradT
Overfull \hbox (55.54353pt 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.dnn.GpuDnnTransformerGrid
Overfull \hbox (71.35524pt 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.dnn.GpuDnnTransformerSampler
Overfull \hbox (51.26193pt 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.elemwise.GpuCAReduceCPY
Overfull \hbox (54.90836pt 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.elemwise.GpuCAReduceCuda
Overfull \hbox (33.42462pt 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.elemwise.GpuDimShuffle
Overfull \hbox (26.93095pt 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.elemwise.GpuElemwise
Overfull \hbox (10.40785pt 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.GpuCholesky
Overfull \hbox (72.59232pt 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.GpuCublasTriangularSolve
Overfull \hbox (33.63246pt too wide) in paragraph at lines 1517--1519
[]\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 1519--1521
[]\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 1521--1523
[]\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 1523--1525
[]\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 1525--1526
[]\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 1526--1528
[]\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 1528--1530
[]\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 1530--1532
[]\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 1532--1534
[]\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 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.nnet.GpuSoftmaxWithBias
Overfull \hbox (123.80515pt 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.GpuAdvancedBooleanIncSubtensor
Overfull \hbox (109.82213pt 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.GpuAdvancedBooleanSubtensor
Overfull \hbox (87.30904pt 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.GpuAdvancedIncSubtensor
Overfull \hbox (92.78403pt 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.GpuAdvancedIncSubtensor1
Overfull \hbox (124.24329pt 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.GpuAdvancedIncSubtensor1_dev20
Overfull \hbox (73.32602pt 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.GpuAdvancedSubtensor
Overfull \hbox (78.80101pt 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.GpuAdvancedSubtensor1
Overfull \hbox (31.2564pt too wide) in paragraph at lines 1551--1553
[]\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 1553--1555
[]\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 1555--1557
[]\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 1557--1559
[]\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 1559--1560
[]\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 1560--1561
[]\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 1561--1562
[]\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 1562--1564
[]\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
[828]
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.AddSD
Underfull \hbox (badness 10000) 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.AddSS
Underfull \hbox (badness 10000) in paragraph at lines 1566--1567
[]\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
Overfull \hbox (50.13338pt too wide) in paragraph at lines 1569--1571
[]\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 1571--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.CSM
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.CSMGrad
Overfull \hbox (5.20613pt too wide) in paragraph at lines 1573--1574
[]\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 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.DenseFromSparse
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.Diag
Overfull \hbox (28.39796pt too wide) in paragraph at lines 1578--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.EnsureSortedIndices
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.GetItem2d
Overfull \hbox (21.95935pt too wide) in paragraph at lines 1582--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.GetItem2ListsGrad
Underfull \hbox (badness 10000) in paragraph at lines 1584--1585
[]\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 1585--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.GetItemListGrad
Overfull \hbox (1.4284pt too wide) in paragraph at lines 1587--1588
[]\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 1588--1589
[]\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 1589--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.MulSD
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.MulSS
Underfull \hbox (badness 10000) in paragraph at lines 1591--1592
[]\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 1593--1594
[]\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 1594--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.RowScaleCSC
Overfull \hbox (17.86447pt 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.SparseFromDense
Underfull \hbox (badness 10000) in paragraph at lines 1598--1599
[]\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 1599--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.SquareDiagonal
Overfull \hbox (13.19978pt too wide) in paragraph at lines 1601--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.StructuredAddSV
Overfull \hbox (42.852pt too wide) in paragraph at lines 1604--1606
[]\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 1606--1608
[]\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 1608--1609
[]\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 1609--1610
[]\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 1610--1611
[]\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 1611--1613
[]\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 1613--1615
[]\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 1615--1616
[]\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 1616--1617
[]\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 1617--1618
[]\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 1619--1621
[]\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 1621--1622
[]\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 1623--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.Bartlett
Overfull \hbox (23.85408pt 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.CpuContiguous
[829]
Underfull \hbox (badness 10000) in paragraph at lines 1626--1627
[]\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 1627--1628
[]\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 1628--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.FillDiagonal
Overfull \hbox (37.65059pt 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.FillDiagonalOffset
Overfull \hbox (27.86154pt too wide) in paragraph at lines 1632--1634
[]\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
Overfull \hbox (25.69357pt too wide) in paragraph at lines 1635--1637
[]\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 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.extra_ops.Unique
Overfull \hbox (14.91896pt too wide) in paragraph at lines 1638--1640
[]\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 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.io.LoadFromDisk
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.io.MPIRecv
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.io.MPIRecvWait
Underfull \hbox (badness 10000) in paragraph at lines 1643--1644
[]\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 1644--1645
[]\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 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.AllocDiag
Underfull \hbox (badness 10000) in paragraph at lines 1648--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.Eigh
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.EighGrad
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.lstsq
Overfull \hbox (4.64763pt too wide) in paragraph at lines 1651--1653
[]\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 1653--1654
[]\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 1654--1655
[]\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 1655--1657
[]\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 1657--1658
[]\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 1658--1659
[]\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 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.abstract_conv.AbstractConv
Overfull \hbox (107.51138pt too wide) in paragraph at lines 1662--1664
[]\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 1664--1666
[]\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 1666--1668
[]\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 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.nnet.blocksparse.SparseBlockOuter
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.opt.MakeVector
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.Cholesky
Overfull \hbox (4.93245pt 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
nsor.slinalg.CholeskyGrad
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.te
nsor.slinalg.Eigvalsh
Overfull \hbox (3.22433pt too wide) in paragraph at lines 1676--1678
[]\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 1678--1679
[]\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 1679--1680
[]\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 1680--1681
[]\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 1681--1683
[]\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 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.Append
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.Count
Underfull \hbox (badness 10000) in paragraph at lines 1685--1686
[]\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 1686--1687
[]\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 1687--1688
[]\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 1688--1689
[]\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
[830]
Underfull \hbox (badness 10000) in paragraph at lines 1689--1690
[]\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 1690--1691
[]\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 1691--1692
[]\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 1692--1693
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 1694--1695
[]\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 1696--1697
[]\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 1697--1699
[]\T1/pcr/m/n/10.95 make_view_array()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 1697--1699
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 1704--1705
[]\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 1708--1709
[]\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 1710--1711
[]\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 1713--1714
[]\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 1714--1716
[]\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 1719--1720
[]\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 1722--1724
[]\T1/pcr/m/n/10.95 merge_num_denum()
Underfull \hbox (badness 10000) in paragraph at lines 1722--1724
\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 1724--1725
[]\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 1728--1729
[]\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 1729--1730
[]\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 1730--1731
[]\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 1735--1736
[]\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 1736--1737
[]\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 1742--1743
[]\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 1744--1745
[]\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 1752--1753
[]\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 1753--1754
[]\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 1754--1756
[]\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
[831]
Underfull \hbox (badness 10000) in paragraph at lines 1756--1757
[]\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 1757--1758
[]\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 1758--1759
[]\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 ),
Underfull \hbox (badness 10000) in paragraph at lines 1765--1766
[]\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 1767--1768
[]\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 1768--1769
[]\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 1769--1771
[]\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 1777--1779
[]\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 1785--1787
[]\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 1788--1789
[]\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 1789--1791
[]\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 1791--1793
[]\T1/pcr/m/n/10.95 nonzero_values()
Underfull \hbox (badness 10000) in paragraph at lines 1791--1793
\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 1793--1794
[]\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 1795--1797
[]\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 1803--1805
[]\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 1809--1810
[]\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 1810--1811
[]\T1/pcr/m/n/10.95 on_change_input()
Underfull \hbox (badness 10000) in paragraph at lines 1810--1811
\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 1811--1812
[]\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 1812--1813
[]\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 1814--1815
[]\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 1832--1833
[]\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-
[832]
Underfull \hbox (badness 10000) in paragraph at lines 1833--1834
[]\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-
Underfull \hbox (badness 10000) in paragraph at lines 1840--1841
[]\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 1841--1842
[]\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 1846--1847
[]\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 1851--1852
[]\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 1855--1856
[]\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 1857--1858
[]\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 1859--1860
[]\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 1861--1862
[]\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 1864--1865
[]\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 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.GpuAllocEmpty
Overfull \hbox (26.14287pt too wide) in paragraph at lines 1869--1871
[]\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua
rray.basic_ops.GpuContiguous
Overfull \hbox (19.56204pt too wide) in paragraph at lines 1871--1873
[]\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 1874--1876
[]\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 1876--1877
[]\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 1877--1879
[]\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 1879--1880
[]\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 1880--1881
[]\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 1881--1882
[]\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 1882--1883
[]\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 1883--1885
[]\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 1885--1887
[]\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 1887--1889
[]\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 1889--1890
[]\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 1891--1893
[]\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 1893--1895
[]\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 1895--1897
[]\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 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.GpuAdvancedIncSubtensor1
Overfull \hbox (111.1033pt 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.GpuAdvancedIncSubtensor1_dev20
Overfull \hbox (65.66103pt too wide) in paragraph at lines 1901--1903
[]\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua
rray.subtensor.GpuAdvancedSubtensor1
[833]
Overfull \hbox (18.11641pt too wide) in paragraph at lines 1903--1905
[]\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 1905--1907
[]\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 1907--1909
[]\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 1909--1911
[]\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 1911--1912
[]\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 1912--1913
[]\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
Overfull \hbox (4.6372pt too wide) 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.sand
box.rng_mrg.mrg_uniform
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.AddSSData
Underfull \hbox (badness 6445) in paragraph at lines 1918--1919
[]\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 1919--1920
[]\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 1920--1922
[]\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 1923--1924
[]\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 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.CSMProperties
Overfull \hbox (4.72449pt too wide) in paragraph at lines 1925--1926
[]\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 1927--1928
[]\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 1928--1930
[]\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 1930--1931
[]\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 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.GetItem2Lists
Overfull \hbox (8.81937pt too wide) in paragraph at lines 1932--1934
[]\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 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.GetItemList
Underfull \hbox (badness 10000) in paragraph at lines 1936--1937
[]\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 1941--1942
[]\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 1942--1943
[]\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 1943--1944
[]\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 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.SamplingDot
Overfull \hbox (4.72449pt too wide) 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.SparseFromDense
Underfull \hbox (badness 10000) in paragraph at lines 1949--1950
[]\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 1950--1952
[]\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 1952--1954
[]\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 1954--1955
[]\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 1955--1956
[]\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 1958--1960
[]\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
[834]
Overfull \hbox (9.90382pt too wide) in paragraph at lines 1961--1963
[]\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 1963--1964
[]\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 1964--1965
[]\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 1965--1966
[]\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 1966--1967
[]\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 1967--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.Bartlett
Overfull \hbox (10.7141pt too wide) in paragraph at lines 1968--1970
[]\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 1970--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.CumOp
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.DiffOp
Overfull \hbox (24.5106pt too wide) in paragraph at lines 1974--1976
[]\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 1976--1978
[]\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 1978--1979
[]\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 1979--1981
[]\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 1981--1982
[]\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 1982--1984
[]\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 1984--1985
[]\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 1986--1987
[]\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 1988--1989
[]\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 1989--1990
[]\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 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.Eig method\T1/ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 1993--1994
[]\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 1995--1996
[]\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 1996--1997
[]\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 1997--1998
[]\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 1998--1999
[]\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 2000--2001
[]\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 2001--2002
[]\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 2002--2004
[]\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 2004--2006
[]\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 2006--2008
[]\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 2008--2010
[]\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 2010--2012
[]\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 2012--2013
[]\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 2013--2014
[]\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 2014--2015
[]\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 2015--2016
[]\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 2016--2017
[]\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 2017--2018
[]\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 2019--2020
[]\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens
or.slinalg.ExpmGrad
[835]
Overfull \hbox (5.40312pt too wide) in paragraph at lines 2021--2023
[]\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 2023--2024
[]\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 2024--2025
[]\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 2025--2026
[]\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 2026--2027
[]\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 2027--2028
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 2028--2029
[]\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 2029--2030
[]\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 2030--2031
[]\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 2031--2032
[]\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 2032--2033
[]\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 2033--2034
[]\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 2041--2042
[]\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 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.dnn.GpuDnnDropoutOp
Underfull \hbox (badness 10000) in paragraph at lines 2044--2046
[]\T1/pcr/m/n/10.95 prepare_node()
Overfull \hbox (16.91151pt too wide) in paragraph at lines 2044--2046
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY
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.gpuarray.linalg.GpuCholesky
Underfull \hbox (badness 10000) in paragraph at lines 2048--2050
[]\T1/pcr/m/n/10.95 prepare_node()
Overfull \hbox (38.2419pt too wide) in paragraph at lines 2048--2050
\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 2050--2052
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2050--2052
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCusolverSolve
Underfull \hbox (badness 10000) in paragraph at lines 2052--2054
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2052--2054
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase
Underfull \hbox (badness 10000) in paragraph at lines 2054--2056
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2054--2056
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaSVD
Underfull \hbox (badness 10000) in paragraph at lines 2056--2058
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2056--2058
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 2064--2065
[]\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 2065--2066
[]\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 2072--2073
[]\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 2078--2079
[]\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 2081--2083
[]\T1/pcr/m/n/10.95 python_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 2081--2083
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 2083--2085
[]\T1/pcr/m/n/10.95 python_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 2083--2085
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
[836]
Underfull \hbox (badness 10000) in paragraph at lines 2098--2099
[]\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 2100--2101
[]\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 2102--2103
[]\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 2105--2106
[]\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 2106--2108
[]\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 2108--2110
[]\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 2110--2111
[]\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 2111--2112
[]\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 2113--2114
[]\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 2114--2116
[]\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 2117--2119
[]\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 2119--2121
[]\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 2121--2122
[]\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 2122--2123
[]\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 2123--2125
[]\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 2123--2125
\T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 2125--2126
[]\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 2126--2128
[]\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 2126--2128
\T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 2128--2129
[]\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 2129--2131
[]\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 2131--2132
[]\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 2132--2133
[]\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 2137--2138
[]\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 2138--2140
[]\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 2142--2144
[]\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 2144--2146
[]\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 2146--2148
[]\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 2148--2150
[]\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 2157--2158
[]\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-
[837]
Underfull \hbox (badness 10000) in paragraph at lines 2160--2162
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 2164--2165
[]\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 2165--2166
[]\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 2166--2168
[]\T1/pcr/m/n/10.95 replace_validate()
Underfull \hbox (badness 10000) in paragraph at lines 2166--2168
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.toolbox.ReplaceValidate
Underfull \hbox (badness 10000) in paragraph at lines 2170--2171
[]\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 2172--2174
[]\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 2179--2181
[]\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 2186--2188
[]\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 2196--2197
[]\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 2204--2205
[]\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 2208--2209
[]\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 2209--2210
[]\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 2210--2212
[]\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 2212--2214
[]\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 2216--2218
[]\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 2218--2220
[]\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 2220--2221
[]\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 2223--2225
[]\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 2225--2227
[]\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 2229--2230
[]\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 2230--2231
[]\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 ),
[838]
Underfull \hbox (badness 10000) in paragraph at lines 2238--2239
[]\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 2239--2240
[]\T1/pcr/m/n/10.95 shape_of_variables() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95
in mod-ule
Underfull \hbox (badness 10000) in paragraph at lines 2250--2251
[]\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 2251--2253
[]\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 2253--2254
[]\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 2254--2256
[]\T1/pcr/m/n/10.95 SharedVariable
Underfull \hbox (badness 10000) in paragraph at lines 2254--2256
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 2260--2261
[]\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 2261--2262
[]\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 2262--2264
[]\T1/pcr/m/n/10.95 simplify_constants()
Underfull \hbox (badness 10000) in paragraph at lines 2262--2264
\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 2264--2266
[]\T1/pcr/m/n/10.95 simplify_factors()
Underfull \hbox (badness 10000) in paragraph at lines 2264--2266
\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 2266--2267
[]\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 2273--2275
[]\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 2275--2276
[]\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 2276--2278
[]\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 2278--2280
[]\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 2280--2281
[]\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 2282--2283
[]\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 2285--2287
[]\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 2288--2289
[]\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 2290--2292
[]\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 2292--2294
[]\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 2294--2296
[]\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 2297--2298
[]\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 2298--2299
[]\T1/pcr/m/n/10.95 SparseFromDense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class
in
[839]
Underfull \hbox (badness 10000) in paragraph at lines 2302--2304
[]\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 2304--2305
[]\T1/pcr/m/n/10.95 split_params()
Underfull \hbox (badness 10000) in paragraph at lines 2308--2309
[]\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 2311--2313
[]\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 2317--2318
[]\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 2318--2319
[]\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 2322--2323
[]\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 2323--2324
[]\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 2324--2325
[]\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 2326--2327
[]\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 2327--2328
[]\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 2333--2334
[]\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 2336--2338
[]\T1/pcr/m/n/10.95 supports_c_code()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 2336--2338
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 5388) in paragraph at lines 2346--2347
[]\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 2347--2348
[]\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 2367--2368
[]\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 2369--2370
[]\T1/pcr/m/n/10.95 tensorsolve() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-
ule
[840]
Underfull \hbox (badness 10000) in paragraph at lines 2377--2378
[]\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 2379--2380
[]\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 ),
Underfull \hbox (badness 10000) in paragraph at lines 2399--2400
[]\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 2414--2415
[]\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 2421--2422
[]\T1/pcr/m/n/10.95 theano.tensor.nnet.abstract_conv
Underfull \hbox (badness 10000) in paragraph at lines 2424--2425
[]\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 2428--2429
[]\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams
Underfull \hbox (badness 10000) in paragraph at lines 2438--2439
[]\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 2442--2443
[]\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 2447--2448
[]\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 2450--2452
[]\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
[841]
Underfull \hbox (badness 10000) in paragraph at lines 2454--2456
[]\T1/pcr/m/n/10.95 truncated_normal()
Overfull \hbox (26.60251pt too wide) in paragraph at lines 2454--2456
\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 2459--2460
[]\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 2460--2461
[]\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 2461--2462
[]\T1/pcr/m/n/10.95 TypedListConstant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla
ss in
Underfull \hbox (badness 10000) in paragraph at lines 2462--2463
[]\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 2466--2468
[]\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 2469--2470
[]\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 2471--2472
[]\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 2472--2474
[]\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 2476--2477
[]\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 2477--2478
[]\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 2478--2479
[]\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 2481--2483
[]\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 2484--2486
[]\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 2486--2487
[]\T1/pcr/m/n/10.95 update_shape()
Underfull \hbox (badness 5374) in paragraph at lines 2486--2487
\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 2487--2489
[]\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 2497--2498
[]\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 2498--2500
[]\T1/pcr/m/n/10.95 value_validity_msg()
Overfull \hbox (9.70728pt too wide) in paragraph at lines 2501--2503
[]\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 2503--2504
[]\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 2504--2505
[]\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 2505--2507
[]\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 2507--2509
[]\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 2510--2512
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2510--2512
\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 2512--2513
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2512--2513
\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 2513--2514
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2514--2516
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2514--2516
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 2517--2518
[]\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 2523--2524
[]\T1/pcr/m/n/10.95 Variable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar
ray.type.GpuArrayType
[842]
Underfull \hbox (badness 10000) in paragraph at lines 2525--2526
[]\T1/pcr/m/n/10.95 variables_and_orphans() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.
95 in mod-ule
Underfull \hbox (badness 10000) in paragraph at lines 2541--2543
[]\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 2543--2544
[]\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 2545--2546
[]\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 2548--2549
[]\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 2560--2562
[]\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
[843]) (./theano.aux)
Package rerunfilecheck Warning: File `theano.out' has changed.
(rerunfilecheck) Rerun to get outlines right
(rerunfilecheck) or use package `bookmark'.
)
(see the transcript file for additional information) </<<BUILDDIR>>/thea
no-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tc
tt1095.600pk>{/usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} </buil
d/theano-cwjVNk/theano-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/l
jfour/jknappen/ec/tctt1000.600pk> </<<BUILDDIR>>/theano-1.0.4+dfsg/jupyt
er_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tcit1000.600pk></usr/
share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmbx10.pfb></usr/share/
texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmex10.pfb></usr/share/texliv
e/texmf-dist/fonts/type1/public/amsfonts/cmextra/cmex8.pfb></usr/share/texlive/
texmf-dist/fonts/type1/public/amsfonts/cm/cmmi10.pfb></usr/share/texlive/texmf-
dist/fonts/type1/public/amsfonts/cm/cmmi6.pfb></usr/share/texlive/texmf-dist/fo
nts/type1/public/amsfonts/cm/cmmi8.pfb></usr/share/texlive/texmf-dist/fonts/typ
e1/public/amsfonts/cm/cmr10.pfb></usr/share/texlive/texmf-dist/fonts/type1/publ
ic/amsfonts/cm/cmr6.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfo
nts/cm/cmr8.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/c
msy10.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy6.p
fb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy8.pfb></us
r/share/texlive/texmf-dist/fonts/type1/public/amsfonts/symbols/msbm10.pfb></usr
/share/texlive/texmf-dist/fonts/type1/urw/courier/ucrb8a.pfb></usr/share/texliv
e/texmf-dist/fonts/type1/urw/courier/ucrbo8a.pfb></usr/share/texlive/texmf-dist
/fonts/type1/urw/courier/ucrr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/
urw/courier/ucrro8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic
/uhvb8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvbo8a.pfb
></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvr8a.pfb></usr/share
/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvro8a.pfb></usr/share/texlive/te
xmf-dist/fonts/type1/urw/times/utmb8a.pfb></usr/share/texlive/texmf-dist/fonts/
type1/urw/times/utmbi8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/time
s/utmr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/utmri8a.pfb>
Output written on theano.pdf (847 pages, 3770688 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 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex)
restricted \write18 enabled.
entering extended mode
(./theano.tex
LaTeX2e <2020-02-02> patch level 5
L3 programming layer <2020-02-25> (./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 2019/12/20 v1.4l 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<<t1.cmap>>)
(/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/ltxcmds/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/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)
(./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/kvoptions/kvoptions.sty
(/usr/share/texlive/texmf-dist/tex/generic/kvsetkeys/kvsetkeys.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty
(/usr/share/texlive/texmf-dist/tex/generic/iftex/ifvtex.sty
(/usr/share/texlive/texmf-dist/tex/generic/iftex/iftex.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty
(/usr/share/texlive/texmf-dist/tex/latex/pdftexcmds/pdftexcmds.sty
(/usr/share/texlive/texmf-dist/tex/generic/infwarerr/infwarerr.sty))
(/usr/share/texlive/texmf-dist/tex/generic/kvdefinekeys/kvdefinekeys.sty)
(/usr/share/texlive/texmf-dist/tex/generic/pdfescape/pdfescape.sty)
(/usr/share/texlive/texmf-dist/tex/latex/hycolor/hycolor.sty)
(/usr/share/texlive/texmf-dist/tex/latex/letltxmacro/letltxmacro.sty)
(/usr/share/texlive/texmf-dist/tex/latex/auxhook/auxhook.sty)
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def)
(/usr/share/texlive/texmf-dist/tex/generic/intcalc/intcalc.sty)
(/usr/share/texlive/texmf-dist/tex/generic/etexcmds/etexcmds.sty)
(/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/generic/bitset/bitset.sty
(/usr/share/texlive/texmf-dist/tex/generic/bigintcalc/bigintcalc.sty))
(/usr/share/texlive/texmf-dist/tex/generic/atbegshi/atbegshi.sty))
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def
(/usr/share/texlive/texmf-dist/tex/latex/atveryend/atveryend.sty)
(/usr/share/texlive/texmf-dist/tex/latex/rerunfilecheck/rerunfilecheck.sty
(/usr/share/texlive/texmf-dist/tex/generic/uniquecounter/uniquecounter.sty)))
(/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty)
Writing index file theano.idx
(/usr/share/texlive/texmf-dist/tex/latex/l3backend/l3backend-pdfmode.def)
(./theano.aux) (/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/epstopdf-pkg/epstopdf-base.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/latex/refcount/refcount.sty)
(/usr/share/texlive/texmf-dist/tex/generic/gettitlestring/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
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 20.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 23.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 26.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 46.
)<<ot1.cmap>><<oml.cmap>><<oms.cmap>><<omx.cmap>>
(/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]
[46]
Underfull \hbox (badness 10000) in paragraph at lines 2788--2789
[]\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 2791--2792
[]\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 2794--2795
[]\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 2797--2798
[]\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 2800--2801
[]\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 2803--2804
[]\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 2806--2807
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
(/usr/share/texlive/texmf-dist/tex/latex/base/t1cmtt.fd)
(/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmtt.fd)
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 3078.
[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 4010
[66]
Overfull \vbox (3.27065pt too high) detected at line 4086
[67] [68] [69]
Overfull \vbox (0.82033pt too high) detected at line 4232
[70] [71] [72] [73] [74 <./bcast.png>] [75] [76] [77] [78] [79] [80] [81]
[82] [83] [84]
Underfull \hbox (badness 10000) in paragraph at lines 5139--5140
[]\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>] [115] [116 <./padding_strides_transposed.pd
f>] [117 <./padding_strides_odd_transposed.pdf>] [118 <./dilation.pdf>]
[119] [120 <./sep2D.jpg>] [121] [122] [123]
Underfull \hbox (badness 10000) in paragraph at lines 6865--6868
[]
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\T1/phv/m/n/10.95 short
Overfull \hbox (34.68462pt too wide) in paragraph at lines 6915--6915
[]\T1/pcr/m/n/10.95 FAST_COMPILE|
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\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 6915--6915
[]\T1/pcr/m/n/10.95 FAST_RUN|
Underfull \hbox (badness 10000) in paragraph at lines 6915--6915
[]\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 6915--6915
[]\T1/pcr/m/n/10.95 DebugMode|
Underfull \hbox (badness 10000) in paragraph at lines 7051--7051
[]\T1/ptm/m/n/10.95 Nan-Guard-
Underfull \hbox (badness 10000) in paragraph at lines 7051--7051
[]\T1/ptm/m/n/10.95 VERY
[124]
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/phv/m/n/10.95 Com-pile
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/phv/m/n/10.95 Ex-e-cu-tion
Underfull \hbox (badness 10000) in paragraph at lines 7148--7148
[]\T1/ptm/m/n/10.95 o1
[125]
Underfull \hbox (badness 10000) in paragraph at lines 7201--7207
[]\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 7208--7215
\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 7208--7215
\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 7311--7312
[]
[128]
Overfull \hbox (132.49107pt too wide) in paragraph at lines 7320--7321
[]
[129 <./logreg_pydotprint_prediction2.png>]
Overfull \hbox (659.4564pt too wide) in paragraph at lines 7329--7330
[]
[130 <./logreg_pydotprint_predict2.png>] [131 <./logreg_pydotprint_train2.png>]
[132 <./d3viz.png>] [133]
Overfull \vbox (2.07271pt too high) detected at line 7497
[134] [135] [136] [137]
Underfull \hbox (badness 10000) in paragraph at lines 7697--7699
[]\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 7697--7699
\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 7754.
[139]
Underfull \hbox (badness 10000) in paragraph at lines 7799--7804
\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 7856
[140] [141] [142] [143]
Overfull \hbox (197.92802pt too wide) in paragraph at lines 8061--8061
[]
Underfull \hbox (badness 10000) in paragraph at lines 8061--8061
Underfull \hbox (badness 10000) in paragraph at lines 8117--8118
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 8580.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 8580.
[151]
Overfull \hbox (6.0pt too wide) in paragraph at lines 8607--8607
[]|
Overfull \hbox (157.20721pt too wide) in paragraph at lines 8607--8607
[][]|
Overfull \hbox (6.0pt too wide) in paragraph at lines 8607--8607
[]|
Overfull \hbox (157.43991pt too wide) in paragraph at lines 8607--8607
[][]|
Overfull \hbox (6.00545pt too wide) in paragraph at lines 8607--8608
[][]
[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 9606
Overfull \vbox (2.47066pt too high) detected at line 9606
[167] [168] [169] [170] [171]
Underfull \hbox (badness 10000) in paragraph at lines 9870--9874
\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 10018.
[174] [175]
Underfull \hbox (badness 10000) in paragraph at lines 10102--10107
[]\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 10379--10382
\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 10492--10497
[]\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 10753
[183]
Underfull \vbox (badness 10000) detected at line 10753
Overfull \vbox (2.47066pt too high) detected at line 10753
[184]
Overfull \vbox (1.72316pt too high) detected at line 10906
[185]
Underfull \vbox (badness 10000) detected at line 10906
Overfull \vbox (2.47066pt too high) detected at line 10906
[186] [187] [188]
Underfull \vbox (badness 10000) detected at line 11045
Overfull \vbox (2.47066pt too high) detected at line 11045
[189] [190]
Underfull \hbox (badness 10000) in paragraph at lines 11168--11171
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 11887.
[201] [202]
Overfull \vbox (10.92513pt too high) detected at line 12097
[203] [204] [205] [206] [207] [208]
Underfull \hbox (badness 10000) in paragraph at lines 12527--12534
[]\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 12631--12636
[]\T1/ptm/m/n/10.95 The grad method
Underfull \hbox (badness 10000) in paragraph at lines 12640--12645
[]\T1/ptm/m/n/10.95 If
[210] [211] [212] [213] [214]
Overfull \vbox (0.70735pt too high) detected at line 13048
[215] [216] [217] [218] [219]
Underfull \hbox (badness 6412) in paragraph at lines 13302--13309
[]\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 13794--13803
[]\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 14780
[239] [240]
Underfull \hbox (badness 10000) in paragraph at lines 14827--14832
[]\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 15161
Overfull \vbox (2.47066pt too high) detected at line 15161
[245] [246] [247]
Underfull \vbox (badness 10000) detected at line 15269
[248] [249]
Underfull \hbox (badness 10000) in paragraph at lines 15393--15395
[]\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 15598
[253] [254] [255] [256] [257] [258]
Underfull \hbox (badness 10000) in paragraph at lines 16054--16055
[]\T1/pcr/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compil
ing):
[259]
Underfull \vbox (badness 10000) detected at line 16265
Underfull \vbox (badness 10000) detected at line 16265
[260]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[261]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[262]
Underfull \vbox (badness 10000) detected at line 16265
Overfull \vbox (2.47066pt too high) detected at line 16265
[263] [264]
Underfull \vbox (badness 10000) detected at line 16391
Overfull \vbox (9.22032pt too high) detected at line 16391
[265]
Underfull \hbox (badness 10000) in paragraph at lines 16395--16401
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17028.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17028.
[276] [277] [278]
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Type of
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 scan
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 in-ner in-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 in-ner out-put
Underfull \hbox (badness 6910) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 at timestep \T1/phv/m/sl/10.95 t
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 (in-dexed from
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ing outer
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/phv/m/n/10.95 Cor-re-spond-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ing ar-gu-
Underfull \hbox (badness 7777) in paragraph at lines 17374--17374
\T1/phv/m/n/10.95 ment of the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/phv/m/sl/10.95 theano.scan()
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 In-di-vid-ual se-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Non-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Non-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurring
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/it/10.95 No cor-re-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/it/10.95 spond-ing
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Singly-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 6157) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 (value at
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 at pre-vi-ous
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Multiply-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-put
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial val-
Underfull \hbox (badness 5652) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 ues for the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 re-quired
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 timesteps
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Multiply-
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 recurrent
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 mul-ti-ple
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 out-puts
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Ini-tial val-
Underfull \hbox (badness 5652) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 ues for the
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 re-quired
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 timesteps
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put value
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Out-put val-ues
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
\T1/ptm/m/n/10.95 mul-ti-ple fu-ture
Underfull \hbox (badness 10000) in paragraph at lines 17374--17374
[]\T1/ptm/m/n/10.95 Con-cate-na-tion
[279] [280] [281] [282] [283] [284] [285] [286] [287]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17931.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17931.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17932.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 17932.
[288] [289] [290] [291] [292] [293]
(/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 17.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 20.
LaTeX Warning: Font shape declaration has incorrect series value `mc'.
It should not contain an `m'! Please correct it.
Found on input line 34.
) [294] [295]
Underfull \hbox (badness 10000) in paragraph at lines 18685--18686
[]\T1/pcr/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) ->
Underfull \hbox (badness 10000) in paragraph at lines 18689--18691
[]\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 18731--18733
[]\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 18897--18905
[]\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 18976--18976
[]\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 19152--19152
[]\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 19196--19196
[]\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 19196--19196
\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 19196--19196
\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 19196--19196
\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 19201--19204
[]\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 19212--19214
[]\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 19216--19220
[]\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 19216--19220
\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 19311--19311
[]\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19311--19311
\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 19348--19348
[]\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 19348--19348
\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 19511--19517
[]\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 21010--21010
[]\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 21010--21010
\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 21347--21347
[]\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 21347--21347
\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 21517--21517
[]\T1/ptm/m/it/10.95 nan_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 inf_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 big_is_error=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 21517--21517
\T1/ptm/m/it/10.95 op-ti-mizer='default'\T1/ptm/m/n/10.95 ,
[329] [330] [331] [332]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
[333] [334] [335] [336] [337]
Overfull \hbox (108.91849pt too wide) in paragraph at lines 22330--22331
\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 22447--22449
\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 22456--22460
\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 22463--22465
[]\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 22472--22474
\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 22481--22484
\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 22487--22489
[]\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 22496--22500
\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 23423--23425
\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 23446--23448
\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 23942
[357] [358]
Underfull \hbox (badness 10000) in paragraph at lines 24047--24047
[]\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=<class 'str'>\T1/ptm/m/n/10.95 ,
[359]
Underfull \hbox (badness 10000) in paragraph at lines 24123--24123
[]\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 24161--24161
[]\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 24161--24161
\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 24398--24398
[]\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=<class 'str'>\T1/ptm/m/n/10.95 ,
[362] [363] [364]
Underfull \hbox (badness 10000) in paragraph at lines 24652--24654
[]\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 24996--24996
\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 25262--25264
[]\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 25403--25404
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 25815.
Overfull \vbox (1.22041pt too high) detected at line 25872
[378] [379] [380] [381] [382] [383] [384] [385] [386] [387] [388] [389]
Underfull \hbox (badness 10000) in paragraph at lines 26878--26880
[]\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]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 26903.
[391] [392] [393] [394] [395]
Underfull \hbox (badness 10000) in paragraph at lines 27292--27294
[]\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] [417]
Underfull \hbox (badness 10000) in paragraph at lines 29471--29471
[]\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-
[418]
Underfull \hbox (badness 10000) in paragraph at lines 29504--29506
[]\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
[419]
Underfull \hbox (badness 10000) in paragraph at lines 29578--29578
[]\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 5119) in paragraph at lines 29625--29625
[]\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 29626--29631
\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 29646--29651
[]\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
[420]
Underfull \hbox (badness 10000) in paragraph at lines 29745--29745
[]\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 29745--29745
\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 ,
[421]
Underfull \hbox (badness 10000) in paragraph at lines 29816--29821
[]\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
[422] [423]
Underfull \hbox (badness 10000) in paragraph at lines 29973--29973
[]\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 29973--29973
\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 ,
[424]
Underfull \hbox (badness 10000) in paragraph at lines 30085--30085
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30085--30085
\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 10000) in paragraph at lines 30153--30153
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 6220) in paragraph at lines 30153--30153
\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 ,
[426]
Underfull \hbox (badness 5756) in paragraph at lines 30221--30221
\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-
[427]
Underfull \hbox (badness 10000) in paragraph at lines 30338--30338
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30338--30338
\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 30338--30338
\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 30338--30338
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[428]
Underfull \hbox (badness 10000) in paragraph at lines 30406--30406
[]\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 30406--30406
\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 30406--30406
\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 30406--30406
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[429] [430] [431] [432] [433] [434] [435] [436]
Underfull \hbox (badness 10000) in paragraph at lines 31092--31092
[]\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 31092--31092
\T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 ,
[437]
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
[]\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 31246--31246
\T1/ptm/m/it/10.95 re-duce_mask=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
\T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 31246--31246
\T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 ,
[438] [439] [440] [441]
Underfull \hbox (badness 5924) in paragraph at lines 31546--31546
[]\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 31546--31546
\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 ,
[442] [443]
Underfull \hbox (badness 10000) in paragraph at lines 31766--31766
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[444]
Underfull \hbox (badness 10000) in paragraph at lines 31845--31845
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[445]
Overfull \hbox (37.40398pt too wide) in paragraph at lines 31943--31943
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (91.124pt too wide) in paragraph at lines 31943--31943
\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 31975--31975
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (45.13405pt too wide) in paragraph at lines 31975--31975
\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 31991--31991
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (51.70404pt too wide) in paragraph at lines 31991--31991
\T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 )
[446] [447] [448]
Overfull \hbox (37.40398pt too wide) in paragraph at lines 32215--32215
[]\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 ,
Overfull \hbox (91.124pt too wide) in paragraph at lines 32215--32215
\T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 )
[449] [450]
Overfull \hbox (4.3459pt too wide) in paragraph at lines 32437--32437
[]\T1/ptm/m/it/10.95 sparse_grad=False\T1/pcr/m/n/10.95 )
[451] [452] [453]
Underfull \hbox (badness 10000) in paragraph at lines 32685--32685
[]\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 32685--32685
\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 32685--32685
\T1/ptm/m/it/10.95 de-stroy-han-
Overfull \hbox (4.18106pt too wide) in paragraph at lines 32685--32685
\T1/ptm/m/it/10.95 dler_tolerate_aliased=None\T1/pcr/m/n/10.95 )
[454] [455] [456] [457]
Underfull \hbox (badness 10000) in paragraph at lines 33116--33116
[]\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 ,
[458] [459] [460] [461] [462] [463] [464] [465]
Underfull \hbox (badness 7522) in paragraph at lines 33861--33865
[]\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 ,
[466] [467]
Underfull \hbox (badness 10000) in paragraph at lines 34012--34013
[][][]\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 34015--34016
[][][]\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 34018--34019
[][][]\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.
[468] [469] [470]
Underfull \hbox (badness 10000) in paragraph at lines 34291--34293
[]\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
[471] [472]
Underfull \hbox (badness 10000) in paragraph at lines 34480--34482
[]\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
[473]
Underfull \hbox (badness 10000) in paragraph at lines 34536--34536
[]\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 34536--34536
\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 34536--34536
\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 34536--34536
\T1/ptm/m/it/10.95 place_running_var=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9
5 in-
Underfull \hbox (badness 10000) in paragraph at lines 34576--34576
[]\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-
[474]
Underfull \hbox (badness 10000) in paragraph at lines 34601--34601
[]\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 34646--34648
[]\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 ,
[475] [476]
Underfull \hbox (badness 10000) in paragraph at lines 34807--34809
[]\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 34846--34846
[]\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 34860--34862
[]\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 34884--34884
[]\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 ,
[477]
Underfull \hbox (badness 10000) in paragraph at lines 34898--34900
[]\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 34898--34900
\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',
Underfull \hbox (badness 10000) in paragraph at lines 34963--34964
[]\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
[478]
Underfull \hbox (badness 10000) in paragraph at lines 35007--35008
[]\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
[479] [480]
Underfull \hbox (badness 10000) in paragraph at lines 35168--35170
[]\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 35227--35228
[]\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
[481] [482]
Underfull \hbox (badness 10000) in paragraph at lines 35491--35491
[]\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 35491--35491
\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 35491--35491
\T1/ptm/m/it/10.95 rec-tion_mode='unidirectional'\T1/ptm/m/n/10.95 , \T1/ptm/m/
it/10.95 con-
[483]
Underfull \hbox (badness 10000) in paragraph at lines 35508--35510
[]\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 35525--35527
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 35602--35602
[]\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 35602--35602
\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 35602--35602
\T1/ptm/m/it/10.95 activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep-
[484]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Underfull \hbox (badness 10000) in paragraph at lines 35661--35661
[]\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 35661--35661
\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 35661--35661
\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 35661--35661
\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 35661--35661
\T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 ,
[485]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 1.
[486]
Underfull \hbox (badness 10000) in paragraph at lines 35755--35755
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35795--35798
[]\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 35795--35798
\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 35800--35804
[]\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 ,
[487]
Underfull \hbox (badness 8113) in paragraph at lines 35824--35824
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35869--35873
[]\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 ,
[488]
Underfull \hbox (badness 10000) in paragraph at lines 35893--35893
\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 35901--35901
[]\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 35901--35901
\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 35909--35909
\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 35909--35909
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 35917--35917
[]\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 35944--35945
[]\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 ,
[489] [490] [491]
Underfull \hbox (badness 10000) in paragraph at lines 36174--36174
\T1/ptm/m/it/10.95 al-low_downcast=None\T1/ptm/m/n/10.95 ,
[492 <./plot_fft.png>]
Underfull \hbox (badness 10000) in paragraph at lines 36202--36203
[]\T1/pcr/b/n/10.95 with borrow=False and return_internal_type=True does
Underfull \hbox (badness 10000) in paragraph at lines 36208--36209
[]\T1/pcr/b/n/10.95 in that case, you may get different return types
Underfull \hbox (badness 10000) in paragraph at lines 36231--36232
[]\T1/pcr/b/n/10.95 to this value will be visible to all functions using
[493]
Underfull \hbox (badness 10000) in paragraph at lines 36285--36285
[]\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-
[494] [495] [496]
Underfull \hbox (badness 10000) in paragraph at lines 36678--36680
[]\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
[497] [498] [499] [500] [501]
Underfull \hbox (badness 10000) in paragraph at lines 37144--37144
[]\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 37144--37144
\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 37144--37144
\T1/ptm/m/it/10.95 low_downcast=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37144--37144
\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 37144--37144
\T1/ptm/m/it/10.95 castable=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 tar-
[502] [503] [504] [505] [506]
Underfull \hbox (badness 10000) in paragraph at lines 37570--37570
[]\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 37570--37570
\T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 6110) in paragraph at lines 37570--37570
\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 37570--37570
\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 37570--37570
\T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37570--37570
\T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 ,
Overfull \hbox (14.06978pt too wide) in paragraph at lines 37570--37570
\T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 )
[507]
Underfull \hbox (badness 6842) in paragraph at lines 37675--37675
[]\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 37675--37675
\T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 sm_stride\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 write_sm\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 thread-Pos\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 thread-
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 ,
Overfull \hbox (20.63977pt too wide) in paragraph at lines 37675--37675
\T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 )
[508] [509] [510]
Overfull \hbox (81.80635pt too wide) in paragraph at lines 37859--37859
[]\T1/ptm/m/it/10.95 compute_grad=True\T1/pcr/m/n/10.95 )
[511]
Underfull \hbox (badness 10000) in paragraph at lines 37965--37965
[]\T1/ptm/m/it/10.95 lower=True\T1/ptm/m/n/10.95 ,
[512]
Underfull \hbox (badness 10000) in paragraph at lines 38046--38046
[]\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 ,
[513]
Underfull \hbox (badness 10000) in paragraph at lines 38203--38205
[]\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
[514]
Underfull \hbox (badness 10000) in paragraph at lines 38260--38261
[]\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 38326--38326
[]\T1/ptm/m/it/10.95 full_matrices=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 c
om-
[515] [516]
Underfull \hbox (badness 10000) in paragraph at lines 38557--38557
[]\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-
[517]
Underfull \hbox (badness 10000) in paragraph at lines 38603--38603
[]\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-
[518] [519] [520] [521]
Underfull \hbox (badness 10000) in paragraph at lines 39034--39034
[]\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-
[522]
Underfull \hbox (badness 10000) in paragraph at lines 39040--39041
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 39084--39084
[]\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-
[523]
Overfull \vbox (1.22057pt too high) detected at line 39241
[524] [525]
Underfull \hbox (badness 10000) in paragraph at lines 39321--39321
\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 ,
Underfull \hbox (badness 10000) in paragraph at lines 39371--39374
[]\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
[526] [527]
Underfull \hbox (badness 10000) in paragraph at lines 39550--39550
[]\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=4\T1/ptm/m/n/10.95 , \T1/ptm/m/it
/10.95 per-sis-tent_id=<class
[528]
Overfull \hbox (68.19234pt too wide) in paragraph at lines 39605--39605
[]\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 per-sis-tent_load=
<class 'theano.misc.pkl_utils.PersistentNdarrayLoad'>\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 39628--39628
[]\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-
[529]
Underfull \hbox (badness 10000) in paragraph at lines 39651--39651
[]\T1/ptm/m/it/10.95 file\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 *\T1/ptm/m/n/10
.95 , \T1/ptm/m/it/10.95 fix_imports=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95
en-
Underfull \hbox (badness 10000) in paragraph at lines 39651--39651
\T1/ptm/m/it/10.95 cod-ing='ASCII'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 er-ror
s='strict'\T1/ptm/m/n/10.95 ,
[530] [531] [532] [533]
Underfull \hbox (badness 10000) in paragraph at lines 39982--39982
[]\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 39982--39982
\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 39982--39982
\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 39982--39982
\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 39982--39982
\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 ,
[534] [535] [536] [537] [538]
Underfull \hbox (badness 10000) in paragraph at lines 40464--40464
[]\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 40490--40491
[]\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
[539]
Underfull \hbox (badness 10000) in paragraph at lines 40493--40494
[]\T1/pcr/b/n/10.95 result in [[0],[2]] When setting size=2, this
[540] [541] [542] [543] [544] [545] [546] [547]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41170.
[548] [549]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 41239.
[550] [551] [552] [553] [554] [555] [556]
Overfull \vbox (1.48381pt too high) detected at line 41803
[557] [558] [559] [560]
Underfull \hbox (badness 10000) in paragraph at lines 42089--42089
[]\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 ,
[561] [562] [563] [564] [565] [566] [567]
Underfull \hbox (badness 10000) in paragraph at lines 42685--42687
[]\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 ,
[568] [569] [570] [571] [572] [573]
Underfull \hbox (badness 10000) in paragraph at lines 43298--43299
[]\T1/pcr/b/n/10.95 create a sparse matrix with the same shape as x. Its
[574] [575] [576] [577] [578] [579] [580] [581] [582] [583] [584] [585]
Underfull \hbox (badness 10000) in paragraph at lines 44505--44505
[]\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 ,
[586] [587] [588] [589] [590] [591] [592] [593] [594] [595] [596] [597]
[598] [599] [600] [601] [602] [603] [604] [605]
Underfull \hbox (badness 10000) in paragraph at lines 46398--46398
\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 46398--46398
\T1/ptm/m/it/10.95 sorted_indices=False\T1/pcr/m/n/10.95 )
[606] [607] [608] [609] [610] [611] [612] [613] [614] [615] [616] [617]
[618] [619] [620] [621] [622] [623] [624] [625]
Underfull \hbox (badness 10000) in paragraph at lines 49277--49280
[]\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 49311--49314
[]\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
[626] [627] [628] [629]
Underfull \hbox (badness 10000) in paragraph at lines 49682--49683
[630] [631] [632]
Underfull \hbox (badness 10000) in paragraph at lines 49917--49919
[]\T1/ptm/m/n/10.95 older:
Overfull \hbox (1.23325pt too wide) in paragraph at lines 49944--49946
[]
[633] [634]
Underfull \hbox (badness 10000) in paragraph at lines 50089--50089
[]\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 ,
[635] [636] [637] [638] [639]
Underfull \hbox (badness 5548) in paragraph at lines 50524--50526
[]\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,
[640] [641] [642] [643] [644] [645] [646] [647] [648] [649]
Underfull \hbox (badness 10000) in paragraph at lines 51543--51546
[]\T1/ptm/m/n/10.95 Either cuDNN and the gemm ver-sion can be dis-abled us-ing
the Theano flags
[650] [651]
Underfull \hbox (badness 10000) in paragraph at lines 51673--51677
[]\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 51679--51683
[]\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 51685--51687
[]\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 51691--51693
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 51694--51698
[]
Underfull \hbox (badness 10000) in paragraph at lines 51699--51701
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 51702--51704
[]
Underfull \hbox (badness 10000) in paragraph at lines 51705--51708
[]\T1/ptm/m/n/10.95 pad
Underfull \hbox (badness 10000) in paragraph at lines 51723--51724
[]\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
[652]
Underfull \hbox (badness 10000) in paragraph at lines 51739--51740
[]\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 51768--51768
[]\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 51768--51768
\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 51768--51768
\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 51787--51789
[]\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 51791--51795
[]\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
[653] [654]
Underfull \hbox (badness 10000) in paragraph at lines 51870--51874
[]\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 51876--51880
[]\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 51888--51890
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 51891--51895
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 51896--51898
[]\T1/ptm/m/n/10.95 width, then
[655]
Underfull \hbox (badness 10000) in paragraph at lines 51950--51950
[]\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-
[656]
Underfull \hbox (badness 8019) in paragraph at lines 52026--52030
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 52073--52073
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 sub-sam-ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\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 52073--52073
\T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52073--52073
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-
[657]
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\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 52167--52167
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52167--52167
\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 52177--52177
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.98465pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (67.66975pt too wide) in paragraph at lines 52177--52177
\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 52177--52177
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (17.30025pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (46.51445pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (55.6356pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (54.53018pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 un-
Overfull \hbox (51.54047pt too wide) in paragraph at lines 52177--52177
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
[658]
Overfull \hbox (50.64276pt too wide) in paragraph at lines 52194--52194
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (44.55464pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (74.23975pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (23.87024pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (53.08444pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (62.2056pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (61.10017pt too wide) in paragraph at lines 52194--52194
\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 52194--52194
\T1/ptm/m/it/10.95 un-
Overfull \hbox (58.11046pt too wide) in paragraph at lines 52194--52194
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 52211--52211
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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 52211--52211
\T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52211--52211
\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
,
[659]
Overfull \hbox (44.07277pt too wide) in paragraph at lines 52221--52221
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.98465pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (67.66975pt too wide) in paragraph at lines 52221--52221
\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 52221--52221
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (17.30025pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (46.51445pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (55.6356pt too wide) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52221--52221
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (58.36269pt too wide) in paragraph at lines 52221--52221
\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 52238--52238
[]\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (44.55464pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (74.23975pt too wide) in paragraph at lines 52238--52238
\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 52238--52238
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (23.87024pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (53.08444pt too wide) in paragraph at lines 52238--52238
\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 52238--52238
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (62.2056pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.0983pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (64.93268pt too wide) in paragraph at lines 52238--52238
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
[660]
Overfull \hbox (10.9274pt too wide) in paragraph at lines 52255--52255
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Overfull \hbox (30.93279pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (24.84467pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (54.52977pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 sub-
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (18.15424pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (33.37447pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (56.4896pt too wide) in paragraph at lines 52255--52255
\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 52255--52255
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 un-
Overfull \hbox (38.40048pt too wide) in paragraph at lines 52255--52255
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Overfull \hbox (17.49739pt too wide) in paragraph at lines 52319--52319
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Overfull \hbox (37.50278pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (31.41466pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (61.09976pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 sub-
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (24.72423pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (39.94446pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (63.05959pt too wide) in paragraph at lines 52319--52319
\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 52319--52319
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 un-
Overfull \hbox (44.97047pt too wide) in paragraph at lines 52319--52319
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
[661]
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
[]\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 ,
Overfull \hbox (8.53983pt too wide) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (10.49965pt too wide) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52383--52383
\T1/ptm/m/it/10.95 un-
[662]
Underfull \hbox (badness 10000) in paragraph at lines 52415--52417
[]\T1/ptm/m/n/10.95 Generates out-put of
[663]
Underfull \hbox (badness 10000) in paragraph at lines 52437--52439
[]\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 52470--52470
[]\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 52515--52520
[]\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)
[664]
Underfull \hbox (badness 10000) in paragraph at lines 52545--52545
[]\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 52577--52577
[]\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 52585--52587
[]\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 52608--52608
[]\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 52616--52618
[]\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*
[665]
Underfull \hbox (badness 10000) in paragraph at lines 52639--52639
[]\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 52639--52639
\T1/ptm/m/it/10.95 frac_ratio=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52639--52639
\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 52639--52639
\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 52639--52639
\T1/ptm/m/it/10.95 use_1D_kernel=True\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52654--52659
[]\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
[666]
Underfull \hbox (badness 10000) in paragraph at lines 52711--52712
[]\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 52736--52736
[]\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 52736--52736
\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 52736--52736
\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 52736--52736
\T1/ptm/m/it/10.95 fil-ter_dilation=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52736--52736
\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 52755--52761
[]\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/
[667]
Overfull \hbox (18.69075pt too wide) in paragraph at lines 52806--52806
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 ker-
Overfull \hbox (5.52887pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 out-
Overfull \hbox (6.14214pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (4.91574pt too wide) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52806--52806
\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 52806--52806
\T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 52811--52814
[]\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 52816--52819
[]\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 52821--52824
[]\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 52826--52830
[]\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 52832--52834
[]\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
[668]
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
[]\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\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 52880--52880
\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 52880--52880
\T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (8.53983pt too wide) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\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 52880--52880
\T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 fil-
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 52880--52880
\T1/ptm/m/it/10.95 un-
[669]
Underfull \hbox (badness 10000) in paragraph at lines 52907--52914
[]\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 52923--52925
[]\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 52951--52954
[]\T1/ptm/m/n/10.95 pad in-put
[670]
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
[]\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 53016--53016
\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 53016--53016
\T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (15.10982pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (3.07567pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 ,
Overfull \hbox (1.97025pt too wide) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53016--53016
\T1/ptm/m/it/10.95 un-
[671]
Underfull \hbox (badness 10000) in paragraph at lines 53047--53049
[]\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 53075--53078
[]\T1/ptm/m/n/10.95 pad in-put
[672]
Underfull \hbox (badness 10000) in paragraph at lines 53159--53163
[]\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 53165--53169
[]\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 53177--53179
[]\T1/ptm/m/n/10.95 Generates
[673]
Underfull \hbox (badness 10000) in paragraph at lines 53180--53184
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 53185--53187
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
[]\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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 53239--53239
\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 53239--53239
\T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (8.53983pt too wide) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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 53239--53239
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 fil-
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53239--53239
\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
,
[674]
Underfull \hbox (badness 10000) in paragraph at lines 53262--53269
[]\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/
[675]
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
[]\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 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (15.10982pt too wide) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 fil-
Overfull \hbox (3.07567pt too wide) in paragraph at lines 53357--53357
\T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53357--53357
\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 53357--53357
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53375--53380
[]\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/
[676]
Underfull \hbox (badness 10000) in paragraph at lines 53467--53467
[]\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 ,
[677]
Overfull \hbox (6.26228pt too wide) in paragraph at lines 53513--53513
[]\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 bor-
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53513--53513
\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 53513--53513
\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 53513--53513
\T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53522--53525
[]\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 53527--53530
[]\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)
[678]
Underfull \hbox (badness 10000) in paragraph at lines 53532--53536
[]\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 53538--53540
[]\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 53546--53547
[]\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 53549--53550
[]\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 53567--53567
[]\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (32.4221pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.30629pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (31.19571pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.52524pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (5.9561pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (0.78772pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 di-
Underfull \hbox (badness 10000) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 la-
Overfull \hbox (8.27748pt too wide) in paragraph at lines 53567--53567
\T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53575--53576
[]\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
[679]
Underfull \hbox (badness 10000) in paragraph at lines 53587--53588
[]\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 53590--53591
[]\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 53607--53607
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 bor-
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 sub-sam-
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\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 53607--53607
\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 53607--53607
\T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 un-
Overfull \hbox (18.6905pt too wide) in paragraph at lines 53607--53607
\T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53616--53619
[]\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 53621--53624
[]\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 53626--53630
[]\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 53632--53634
[]\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
[680]
Underfull \hbox (badness 10000) in paragraph at lines 53640--53641
[]\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 53643--53644
[]\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 53662--53662
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (38.9921pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 ,
Overfull \hbox (9.87628pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 bor-
Overfull \hbox (37.7657pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 ,
Overfull \hbox (10.09523pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 sub-
Overfull \hbox (12.5261pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 sam-
Overfull \hbox (7.35771pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 ,
Overfull \hbox (3.4048pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 di-
Overfull \hbox (3.4048pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 la-
Overfull \hbox (14.84747pt too wide) in paragraph at lines 53662--53662
\T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 10000) in paragraph at lines 53671--53672
[]\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 53683--53684
[]\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 53686--53687
[]\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 53703--53703
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53703--53703
\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 53703--53703
\T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 )
[681]
Underfull \hbox (badness 10000) in paragraph at lines 53708--53711
[]\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 53713--53721
[]\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 53723--53727
[]\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 53729--53731
[]\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 53736--53737
[]\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
[]\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53754--53754
\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 53759--53760
[]\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
[682]
Underfull \hbox (badness 10000) in paragraph at lines 53762--53763
[]\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 53771--53772
[]\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 53774--53775
[]\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 53791--53791
[]\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 53791--53791
\T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\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 53791--53791
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 point-
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53791--53791
\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 53791--53791
\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 53815--53819
[]\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
[683]
Underfull \hbox (badness 10000) in paragraph at lines 53821--53825
[]\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 53827--53831
[]\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 53840--53842
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 53843--53847
[]
Underfull \hbox (badness 10000) in paragraph at lines 53848--53850
[]\T1/ptm/m/n/10.95 width, then
Underfull \hbox (badness 10000) in paragraph at lines 53851--53853
[]\T1/ptm/m/n/10.95 and
Underfull \hbox (badness 10000) in paragraph at lines 53858--53861
[]
[684]
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
[]\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 53895--53895
\T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\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 53895--53895
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 point-
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 53895--53895
\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 53895--53895
\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 53919--53923
[]\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 53925--53929
[]\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 53931--53935
[]\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
[685]
Underfull \hbox (badness 10000) in paragraph at lines 53944--53946
[]\T1/ptm/m/n/10.95 Generates
Underfull \hbox (badness 10000) in paragraph at lines 53947--53951
[]\T1/ptm/m/n/10.95 then per-
Underfull \hbox (badness 10000) in paragraph at lines 53952--53954
[]\T1/ptm/m/n/10.95 width, then
[686]
Underfull \hbox (badness 10000) in paragraph at lines 54083--54084
[]\T1/ptm/m/n/10.95 Precision: sig-moid(with or with-out amdlibm) > ul-tra_fast
_sigmoid >
[687] [688 <./sigmoid_prec.png>] [689] [690]
Underfull \hbox (badness 10000) in paragraph at lines 54383--54385
[]\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]
Underfull \hbox (badness 10000) in paragraph at lines 54423--54425
[]\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e
-men-t-wise
[692] [693]
Underfull \hbox (badness 10000) in paragraph at lines 54560--54563
[]\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 54568--54573
[]\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
[694] [695]
Underfull \hbox (badness 10000) in paragraph at lines 54691--54691
[]\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 ,
[696] [697]
Underfull \hbox (badness 10000) in paragraph at lines 54855--54855
[]\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 54855--54855
\T1/ptm/m/it/10.95 axes='per-activation'\T1/ptm/m/n/10.95 ,
Underfull \hbox (badness 10000) in paragraph at lines 54855--54855
\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 54855--54855
\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 54855--54855
\T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 ,
[698]
Underfull \hbox (badness 10000) in paragraph at lines 54953--54953
\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 ,
[699] [700] [701]
Underfull \hbox (badness 10000) in paragraph at lines 55148--55150
[]\T1/ptm/m/n/10.95 Which blocks
[702 <./blocksparse.png>] [703] [704] [705]
Overfull \hbox (77.97385pt too wide) in paragraph at lines 55452--55452
[]\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 55452--55452
\T1/ptm/m/it/10.95 openmp=None\T1/pcr/m/n/10.95 )
Underfull \hbox (badness 5260) in paragraph at lines 55471--55473
[]\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
[706] [707]
Underfull \hbox (badness 10000) in paragraph at lines 55678--55678
[]\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 55695--55695
[]\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 55712--55712
[]\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 ,
[708] [709]
Overfull \hbox (77.18507pt too wide) in paragraph at lines 55794--55794
[]\T1/ptm/m/it/10.95 raw_random.RandomStreamsBase\T1/pcr/m/n/10.95 )
[710]
Underfull \hbox (badness 10000) in paragraph at lines 55909--55909
[]\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 55909--55909
\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 55919--55920
[]\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 55922--55923
[]\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 55974--55974
[]\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 ,
[711]
Underfull \hbox (badness 6741) in paragraph at lines 55986--55988
[]\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 55994--55998
[]\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 56005--56008
[]\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 56038--56040
[]\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 56050--56050
[]\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 56050--56050
\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 ,
[712]
Underfull \hbox (badness 6741) in paragraph at lines 56062--56064
[]\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 56070--56073
[]\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 56081--56084
[]\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 ,
[713] [714] [715] [716] [717]
Underfull \hbox (badness 10000) in paragraph at lines 56500--56500
[]\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-
[718] [719]
Underfull \hbox (badness 10000) in paragraph at lines 56667--56667
[]\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 56667--56667
\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 ,
[720] [721] [722]
Underfull \hbox (badness 10000) in paragraph at lines 56975--56975
[]\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 ,
[723]
Underfull \hbox (badness 10000) in paragraph at lines 57051--57051
[]\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 ,
[724]
Underfull \hbox (badness 10000) in paragraph at lines 57143--57143
[]\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 ,
[725] [726] [727] [728] [729] [730] [731] [732] [733]
Underfull \hbox (badness 10000) in paragraph at lines 58018--58018
[]\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 ,
[734]
Underfull \hbox (badness 10000) in paragraph at lines 58174--58174
[]\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-
[735]
Underfull \hbox (badness 10000) in paragraph at lines 58190--58191
[]\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 58193--58194
[]\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 58196--58198
[]\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
[736] [737] [738] [739] [740] [741] [742] [743] [744] [745] [746]
Underfull \hbox (badness 10000) in paragraph at lines 59264--59264
[]\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 ,
[747] [748] [749] [750] [751] [752] [753]
Underfull \hbox (badness 10000) in paragraph at lines 59891--59893
[]\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
[754]
Underfull \hbox (badness 10000) in paragraph at lines 60008--60010
\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-
[755]
Underfull \hbox (badness 10000) in paragraph at lines 60130--60130
[]\T1/ptm/m/it/10.95 OP\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 max_input_fct=<fu
nction
[756]
Underfull \hbox (badness 10000) in paragraph at lines 60190--60190
[]\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 el-em-wise=Tr
ue\T1/ptm/m/n/10.95 ,
[757] [758] [759]
Underfull \hbox (badness 10000) in paragraph at lines 60548--60548
[]\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9
5 lower=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 over-
[760] [761] [762] [763] [764] [765] [766] [767] [768] [769] [770] [771]
[772] [773] [774 <./plot_fft1.png>] [775] [776] [777] [778] [779] [780]
[781] [782]
Underfull \hbox (badness 10000) in paragraph at lines 62633--62633
[]\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-
[783] [784]
Underfull \hbox (badness 10000) in paragraph at lines 62829--62833
[]\T1/ptm/m/n/10.95 Theano
[785]
Underfull \hbox (badness 10000) in paragraph at lines 63002--63004
[]\T1/ptm/m/n/10.95 Currently only vari-able cre-ated by Ad-vanced-Sub-ten-sor1
is sup-ported. i.e.
[786] [787] [788] [789] [790]
Underfull \hbox (badness 10000) in paragraph at lines 63307--63308
[]\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 63307--63308
\T1/ptm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109
a06ca04b360.so: un-de-
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63342.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63342.
[791] [792] [793] [794] [795] [796]
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63817.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63817.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63823.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63823.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63829.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63829.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63835.
Package textcomp Warning: Symbol \textasciigrave not provided by
(textcomp) font family pcr in TS1 encoding.
(textcomp) Default family used instead on input line 63835.
[797] [798] [799] [800] [801] [802] [803] [804]
Underfull \hbox (badness 10000) in paragraph at lines 64345--64346
[]\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 64349--64350
[]\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it
/10.95 Unix,
[805]
Underfull \hbox (badness 10000) in paragraph at lines 64391--64392
[]\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 64394--64395
[]\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 64398--64399
[]\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams
[806] (./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
[807]
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
[808]
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
[809]
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
Underfull \hbox (badness 10000) in paragraph at lines 230--231
[]\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.GpuTri
Overfull \hbox (12.99205pt too wide) in paragraph at lines 231--233
[]\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 234--236
[]\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 236--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.GpuCorr3dMM_gradWeights
Underfull \hbox (badness 10000) in paragraph at lines 238--239
[]\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 239--241
[]\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 241--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.GpuCorrMM_gradWeights
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.GpuDot22
Underfull \hbox (badness 10000) in paragraph at lines 244--245
[]\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 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.GpuGemv
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.blas.GpuGer
Underfull \hbox (badness 10000) 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.DnnVersion
Overfull \hbox (2.25044pt too wide) in paragraph at lines 249--250
[]\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 250--252
[]\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 252--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.GpuCAReduceCuda
Overfull \hbox (7.22098pt too wide) in paragraph at lines 254--255
[]\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 256--257
[]\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 257--259
[]\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 259--261
[]\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 261--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.GpuCrossentropySoftmaxArgmax1HotWithBias
Underfull \hbox (badness 10000) in paragraph at lines 263--264
[]\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 264--266
[]\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 266--268
[]\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 268--270
[]\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 270--272
[]\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 272--274
[]\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 274--275
[]\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 276--278
[]\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 278--280
[]\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 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.CAReduce
Underfull \hbox (badness 10000) in paragraph at lines 281--282
[]\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 282--284
[]\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 284--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.CpuContiguous
Underfull \hbox (badness 10000) in paragraph at lines 286--287
[]\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 287--289
[]\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
[810]
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.GetItem
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.Length
Underfull \hbox (badness 10000) in paragraph at lines 293--294
[]\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 295--296
[]\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 297--299
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 297--299
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.DeepCopyOp
Underfull \hbox (badness 10000) in paragraph at lines 299--301
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 301--303
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 301--303
\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 303--305
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 303--305
\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 305--307
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 305--307
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape
Underfull \hbox (badness 10000) in paragraph at lines 307--309
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 307--309
\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 309--311
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 309--311
\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 311--313
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 311--313
\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 313--315
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 313--315
\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 315--317
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 315--317
\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 317--319
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 317--319
\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 319--321
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 321--323
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 321--323
\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 323--325
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (5.52364pt too wide) in paragraph at lines 323--325
\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 325--327
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (4.93243pt too wide) in paragraph at lines 325--327
\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 327--329
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 327--329
\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 329--331
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 329--331
\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 331--333
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 331--333
\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 333--335
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 333--335
\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 335--337
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 335--337
\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 337--339
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 337--339
\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 339--341
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 339--341
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuTri
Underfull \hbox (badness 10000) in paragraph at lines 341--343
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 341--343
\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 343--345
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (0.66197pt too wide) in paragraph at lines 343--345
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM
Underfull \hbox (badness 10000) in paragraph at lines 345--347
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 345--347
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM
Underfull \hbox (badness 10000) in paragraph at lines 347--349
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 349--351
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 351--353
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 351--353
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGemmBatch
[811]
Underfull \hbox (badness 10000) in paragraph at lines 353--355
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 355--357
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 355--357
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGer method\T1/ptm
/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 357--359
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 357--359
\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 359--361
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 359--361
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 361--363
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 361--363
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc
Underfull \hbox (badness 10000) in paragraph at lines 363--365
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 363--365
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc
Underfull \hbox (badness 10000) in paragraph at lines 365--367
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 365--367
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 367--369
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (21.62004pt too wide) in paragraph at lines 367--369
\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 369--371
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (97.00984pt too wide) in paragraph at lines 369--371
\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 371--373
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (118.50453pt too wide) in paragraph at lines 371--373
\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 373--375
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 373--375
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmax
Underfull \hbox (badness 10000) in paragraph at lines 375--377
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (4.31917pt too wide) in paragraph at lines 375--377
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmaxWithBias
Underfull \hbox (badness 10000) in paragraph at lines 377--379
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 377--379
\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 379--381
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (89.89287pt too wide) in paragraph at lines 379--381
\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 381--383
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (44.45059pt too wide) in paragraph at lines 381--383
\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 383--385
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 383--385
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 385--387
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 385--387
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 387--389
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 387--389
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 389--391
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 389--391
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuContextType
Underfull \hbox (badness 10000) in paragraph at lines 391--393
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 391--393
\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 393--395
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 393--395
\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 395--397
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (8.50159pt too wide) in paragraph at lines 395--397
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSC
Underfull \hbox (badness 10000) in paragraph at lines 397--399
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Overfull \hbox (7.88846pt too wide) in paragraph at lines 397--399
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSR
Underfull \hbox (badness 10000) in paragraph at lines 399--401
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 399--401
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.MulWithoutZeros
Underfull \hbox (badness 10000) in paragraph at lines 401--403
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 401--403
\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 403--405
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 403--405
\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 405--407
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 407--409
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 407--409
\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 409--411
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 411--413
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 411--413
\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 413--415
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 413--415
\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 415--417
[]\T1/pcr/m/n/10.95 c_code_cache_version()
[812]
Underfull \hbox (badness 10000) in paragraph at lines 417--419
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 417--419
\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 419--421
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 10000) in paragraph at lines 419--421
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Length method\T1/
ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 421--423
[]\T1/pcr/m/n/10.95 c_code_cache_version()
Underfull \hbox (badness 6125) in paragraph at lines 421--423
\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 423--424
[]\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 424--426
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Overfull \hbox (12.44383pt too wide) in paragraph at lines 424--426
\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 426--428
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Overfull \hbox (16.91151pt too wide) in paragraph at lines 426--428
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY
Underfull \hbox (badness 10000) in paragraph at lines 428--430
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 428--430
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 10000) in paragraph at lines 430--432
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Underfull \hbox (badness 10000) in paragraph at lines 430--432
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.CAReduce
Underfull \hbox (badness 10000) in paragraph at lines 432--434
[]\T1/pcr/m/n/10.95 c_code_cache_version_apply()
Underfull \hbox (badness 10000) in paragraph at lines 432--434
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 435--437
[]\T1/pcr/m/n/10.95 c_code_helper()
Overfull \hbox (0.66197pt too wide) in paragraph at lines 435--437
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM
Underfull \hbox (badness 10000) in paragraph at lines 437--439
[]\T1/pcr/m/n/10.95 c_code_helper()
Underfull \hbox (badness 10000) in paragraph at lines 437--439
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM
Underfull \hbox (badness 10000) in paragraph at lines 439--441
[]\T1/pcr/m/n/10.95 c_code_reduce_01X()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 439--441
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 10000) in paragraph at lines 443--445
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 443--445
\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 445--446
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 445--446
\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 446--447
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 446--447
\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 447--449
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 447--449
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 449--451
[]\T1/pcr/m/n/10.95 c_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 449--451
\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 453--455
[]\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 455--456
[]\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 456--457
[]\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 457--458
[]\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 459--460
[]\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 460--462
[]\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 463--464
[]\T1/pcr/m/n/10.95 c_element_type()
Underfull \hbox (badness 10000) in paragraph at lines 463--464
\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 464--466
[]\T1/pcr/m/n/10.95 c_element_type()
Underfull \hbox (badness 10000) in paragraph at lines 464--466
\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 467--469
[]\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 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.CDataType
Underfull \hbox (badness 10000) in paragraph at lines 470--471
[]\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 471--472
[]\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 472--473
[]\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 474--475
[]\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 475--477
[]\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 477--478
[]\T1/pcr/m/n/10.95 c_extract_out()
Underfull \hbox (badness 10000) in paragraph at lines 477--478
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm
/m/n/10.95 ),
[813]
Underfull \hbox (badness 10000) in paragraph at lines 480--482
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 480--482
\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 483--485
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (5.52364pt too wide) in paragraph at lines 483--485
\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 485--487
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (4.93243pt too wide) in paragraph at lines 485--487
\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 487--489
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 487--489
\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 489--491
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 489--491
\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 491--493
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (0.66197pt too wide) in paragraph at lines 491--493
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM
Underfull \hbox (badness 10000) in paragraph at lines 493--495
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 493--495
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM
Underfull \hbox (badness 10000) in paragraph at lines 495--496
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 495--496
\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 496--497
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 496--497
\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 497--499
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 497--499
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 499--501
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 499--501
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc
Underfull \hbox (badness 10000) in paragraph at lines 501--503
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 501--503
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc
Underfull \hbox (badness 10000) in paragraph at lines 503--505
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 503--505
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase
Underfull \hbox (badness 10000) in paragraph at lines 505--507
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (118.50453pt too wide) in paragraph at lines 505--507
\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 507--509
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 507--509
\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 509--511
[]\T1/pcr/m/n/10.95 c_header_dirs()
Overfull \hbox (89.89287pt too wide) in paragraph at lines 509--511
\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 511--513
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 511--513
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 513--515
[]\T1/pcr/m/n/10.95 c_header_dirs()
Underfull \hbox (badness 10000) in paragraph at lines 513--515
\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 517--519
[]\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 519--520
[]\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 520--522
[]\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 522--524
[]\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 524--526
[]\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 526--528
[]\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 528--530
[]\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 530--532
[]\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 532--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.BaseGpuCorr3dMM
Overfull \hbox (24.06241pt too wide) in paragraph at lines 534--536
[]\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 536--537
[]\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 537--538
[]\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 538--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.DnnBase
Overfull \hbox (24.82932pt too wide) in paragraph at lines 540--542
[]\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 542--544
[]\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 544--546
[]\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 546--548
[]\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
[814]
Overfull \hbox (16.75864pt too wide) in paragraph at lines 548--550
[]\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 550--552
[]\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 552--554
[]\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
Overfull \hbox (55.97046pt too wide) in paragraph at lines 554--556
[]\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 556--558
[]\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 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.GpuCrossentropySoftmaxArgmax1HotWithBias
Overfull \hbox (38.66959pt too wide) in paragraph at lines 561--563
[]\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 563--565
[]\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 565--567
[]\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 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.subtensor.GpuIncSubtensor
Overfull \hbox (8.9188pt too wide) in paragraph at lines 569--570
[]\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 570--572
[]\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 575--576
[]\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 578--579
[]\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 580--581
[]\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 584--586
[]\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 586--587
[]\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 587--589
[]\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 589--591
[]\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 593--595
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 593--595
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 595--597
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 595--597
\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 597--599
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 597--599
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 599--601
[]\T1/pcr/m/n/10.95 c_init_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 599--601
\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 601--602
[]\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 604--606
[]\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 606--607
[]\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 607--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.DnnBase
Overfull \hbox (0.71742pt too wide) in paragraph at lines 608--609
[]\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 609--611
[]\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 611--613
[]\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 613--615
[]\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 615--617
[]\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 619--621
[]\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 621--622
[]\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.
gof.type.CDataType
[815]
Overfull \hbox (7.28741pt too wide) in paragraph at lines 623--624
[]\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 624--626
[]\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 626--628
[]\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.
gpuarray.dnn.GpuDnnPoolDesc
Overfull \hbox (38.14441pt too wide) in paragraph at lines 628--630
[]\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 630--632
[]\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 632--633
[]\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 635--637
[]\T1/pcr/m/n/10.95 c_no_compile_args()
Underfull \hbox (badness 10000) in paragraph at lines 635--637
\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 640--642
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 640--642
\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 642--643
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 642--643
\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 643--644
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 643--644
\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 645--647
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 645--647
\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 647--649
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 647--649
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion
Underfull \hbox (badness 10000) in paragraph at lines 649--651
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 649--651
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 10000) in paragraph at lines 651--653
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (21.62004pt too wide) in paragraph at lines 651--653
\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 653--655
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (44.45059pt too wide) in paragraph at lines 653--655
\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 655--657
[]\T1/pcr/m/n/10.95 c_support_code()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 655--657
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 657--659
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 657--659
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 659--661
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 659--661
\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 661--663
[]\T1/pcr/m/n/10.95 c_support_code()
Underfull \hbox (badness 10000) in paragraph at lines 661--663
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 665--667
[]\T1/pcr/m/n/10.95 c_support_code_apply()
Underfull \hbox (badness 10000) in paragraph at lines 665--667
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape
Underfull \hbox (badness 10000) in paragraph at lines 667--669
[]\T1/pcr/m/n/10.95 c_support_code_apply()
Underfull \hbox (badness 10000) in paragraph at lines 667--669
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 670--672
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 670--672
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 672--674
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Overfull \hbox (58.43361pt too wide) in paragraph at lines 672--674
\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 674--676
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Overfull \hbox (89.89287pt too wide) in paragraph at lines 674--676
\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 676--678
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 676--678
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 678--680
[]\T1/pcr/m/n/10.95 c_support_code_struct()
Underfull \hbox (badness 10000) in paragraph at lines 678--680
\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 684--685
[]\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 685--686
[]\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
[816]
Underfull \hbox (badness 10000) in paragraph at lines 690--691
[]\T1/pcr/m/n/10.95 CAReduceDtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i
n
Underfull \hbox (badness 10000) in paragraph at lines 697--699
[]\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 703--704
[]\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 704--705
[]\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 705--707
[]\T1/pcr/m/n/10.95 check_and_convert_boolean_masks()
Underfull \hbox (badness 10000) in paragraph at lines 705--707
\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 709--711
[]\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 711--712
[]\T1/pcr/m/n/10.95 check_integrity()
Underfull \hbox (badness 10000) in paragraph at lines 711--712
\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 712--714
[]\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 714--716
[]\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 718--720
[]\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 723--724
[]\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 729--731
[]\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 738--739
[]\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 739--740
[]\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 740--741
[]\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 741--742
[]\T1/pcr/m/n/10.95 clone_get_equiv()
Underfull \hbox (badness 10000) in paragraph at lines 741--742
\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 742--744
[]\T1/pcr/m/n/10.95 clone_with_new_inputs()
Underfull \hbox (badness 10000) in paragraph at lines 744--746
[]\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 748--749
[]\T1/pcr/m/n/10.95 collect_callbacks()
Underfull \hbox (badness 10000) in paragraph at lines 748--749
\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 750--751
[]\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 754--755
[]\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-
[817]
Underfull \hbox (badness 10000) in paragraph at lines 763--764
[]\T1/pcr/m/n/10.95 conf() \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 765--766
[]\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 766--768
[]\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 770--771
[]\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 776--777
[]\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 781--782
[]\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 782--783
[]\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 783--785
[]\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 786--788
[]\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 790--792
[]\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 793--794
[]\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 796--798
[]\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 798--800
[]\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 800--801
[]\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 802--803
[]\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 803--804
[]\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 804--806
[]\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 806--808
[]\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 808--809
[]\T1/pcr/m/n/10.95 convert_variable()
Underfull \hbox (badness 10000) in paragraph at lines 809--811
[]\T1/pcr/m/n/10.95 convert_variable()
Underfull \hbox (badness 10000) in paragraph at lines 809--811
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 811--812
[]\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 812--813
[]\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 813--815
[]\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 815--816
[]\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 816--818
[]\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 818--820
[]\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 824--825
[]\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 826--827
[]\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 832--833
[]\T1/pcr/m/n/10.95 csm_properties \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod
-ule
[818]
Underfull \hbox (badness 10000) in paragraph at lines 837--838
[]\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 859--860
[]\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 860--861
[]\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 863--865
[]\T1/pcr/m/n/10.95 default_infer_shape()
Underfull \hbox (badness 5374) in paragraph at lines 863--865
\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 866--867
[]\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 867--868
[]\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 868--869
[]\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 884--886
[]\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 886--887
[]\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 890--891
[]\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 891--893
[]\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 893--895
[]\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 897--898
[]\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 898--899
[]\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 899--900
[]\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 900--901
[]\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 902--903
[]\T1/pcr/m/n/10.95 dnn_spatialtf() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo
d-ule
[819]
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.basic_ops.GpuAlloc
Underfull \hbox (badness 10000) in paragraph at lines 908--910
[]\T1/pcr/m/n/10.95 do_constant_folding()
Overfull \hbox (5.52364pt too wide) in paragraph at lines 908--910
\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 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.DnnVersion
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.gpuarray.dnn.GpuDnnConvDesc
Underfull \hbox (badness 10000) in paragraph at lines 914--916
[]\T1/pcr/m/n/10.95 do_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 914--916
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc
Underfull \hbox (badness 10000) in paragraph at lines 916--918
[]\T1/pcr/m/n/10.95 do_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 916--918
\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 918--920
[]\T1/pcr/m/n/10.95 do_constant_folding()
Overfull \hbox (41.0776pt too wide) in paragraph at lines 918--920
\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 920--922
[]\T1/pcr/m/n/10.95 do_type_checking()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 920--922
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 930--931
[]\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 931--933
[]\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 934--936
[]\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 953--954
[]\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 954--955
[]\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 955--957
[]\T1/pcr/m/n/10.95 enum_from_alias()
Underfull \hbox (badness 10000) in paragraph at lines 955--957
\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 970--971
[]\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 971--973
[]\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 975--976
[]\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 976--977
[]\T1/pcr/m/n/10.95 execute_callbacks()
Underfull \hbox (badness 10000) in paragraph at lines 976--977
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/
n/10.95 ),
[820]
Overfull \hbox (3.13728pt too wide) in paragraph at lines 984--985
[]\T1/pcr/m/n/10.95 extended() \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 995--996
[]\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 996--997
[]\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 997--999
[]\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 1000--1001
[]\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 1002--1003
[]\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 1004--1005
[]\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 1007--1008
[]\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 1009--1010
[]\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 1012--1014
[]\T1/pcr/m/n/10.95 filter_variable()
Underfull \hbox (badness 10000) in paragraph at lines 1012--1014
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 1014--1015
[]\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 1015--1017
[]\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 1019--1021
[]\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 1024--1025
[]\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 1026--1028
[]\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 1034--1036
[]\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 1036--1037
[]\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 1038--1039
[]\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 1042--1043
[]\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 1053--1055
[]\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
[821]
Underfull \hbox (badness 10000) in paragraph at lines 1055--1056
[]\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 1057--1058
[]\T1/pcr/m/n/10.95 get_aliases() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.
gof.type.EnumType
Underfull \hbox (badness 10000) in paragraph at lines 1060--1062
[]\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 1062--1063
[]\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 1065--1067
[]\T1/pcr/m/n/10.95 get_conv_gradinputs_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 1069--1071
[]\T1/pcr/m/n/10.95 get_conv_gradweights_shape_1axis()
Underfull \hbox (badness 10000) in paragraph at lines 1069--1071
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule
Underfull \hbox (badness 10000) in paragraph at lines 1071--1073
[]\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 1073--1075
[]\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 1075--1076
[]\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 1076--1078
[]\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 1078--1080
[]\T1/pcr/m/n/10.95 get_helper_c_code_args()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 1078--1080
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 1081--1082
[]\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 1083--1084
[]\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 1085--1087
[]\T1/pcr/m/n/10.95 get_out_shape()
Underfull \hbox (badness 10000) in paragraph at lines 1085--1087
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConv
Underfull \hbox (badness 10000) in paragraph at lines 1087--1089
[]\T1/pcr/m/n/10.95 get_output_info()
Underfull \hbox (badness 10000) in paragraph at lines 1087--1089
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 1089--1091
[]\T1/pcr/m/n/10.95 get_param_size()
Overfull \hbox (16.27727pt too wide) in paragraph at lines 1092--1094
[]\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 1094--1095
[]\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 1095--1096
[]\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 1096--1097
[]\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 1097--1099
[]\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 1099--1101
[]\T1/pcr/m/n/10.95 get_scalar_constant_value()
Underfull \hbox (badness 10000) in paragraph at lines 1099--1101
\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 1101--1102
[]\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 1104--1106
[]\T1/pcr/m/n/10.95 get_substream_rstates()
Overfull \hbox (26.60251pt too wide) in paragraph at lines 1104--1106
\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 1106--1107
[]\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 1107--1109
[]\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 1109--1111
[]\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 1115--1116
[]\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 1117--1118
[]\T1/pcr/m/n/10.95 GetItemListGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class
in
[822]
Overfull \hbox (59.93423pt 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.CGpuKernelBase
Overfull \hbox (18.3358pt 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.basic_ops.GpuEye
Overfull \hbox (52.63068pt 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.basic_ops.GpuKernelBase
Overfull \hbox (14.71129pt 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.basic_ops.GpuTri
Overfull \hbox (64.40192pt 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.elemwise.GpuCAReduceCPY
Overfull \hbox (68.04834pt 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.elemwise.GpuCAReduceCuda
Overfull \hbox (69.11044pt too wide) in paragraph at lines 1134--1136
[]\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 1136--1138
[]\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 1138--1140
[]\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 1140--1141
[]\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 1141--1143
[]\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 1143--1145
[]\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 1145--1147
[]\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 1148--1149
[]\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 1152--1154
[]\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 1154--1156
[]\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 1156--1158
[]\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 1160--1162
[]\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 1162--1164
[]\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 1165--1166
[]\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 1166--1167
[]\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 1169--1170
[]\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 1170--1171
[]\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 1171--1172
[]\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 1173--1174
[]\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 1174--1175
[]\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 1175--1176
[]\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 1176--1177
[]\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 1178--1180
[]\T1/pcr/m/n/10.95 GpuConnectionistTemporalClassification
Underfull \hbox (badness 10000) in paragraph at lines 1180--1181
[]\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 1181--1182
[]\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 1183--1184
[]\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 1184--1186
[]\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 1187--1188
[]\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 1188--1189
[]\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 1189--1191
[]\T1/pcr/m/n/10.95 GpuCrossentropySoftmax1HotWithBiasDx
Overfull \hbox (32.92218pt too wide) in paragraph at lines 1191--1193
[]\T1/pcr/m/n/10.95 GpuCrossentropySoftmaxArgmax1HotWithBias
Underfull \hbox (badness 10000) in paragraph at lines 1193--1195
[]\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 1195--1196
[]\T1/pcr/m/n/10.95 GpuCusolverSolve \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas
s in
[823]
Underfull \hbox (badness 10000) in paragraph at lines 1196--1197
[]\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 1197--1198
[]\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 1198--1199
[]\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 1199--1200
[]\T1/pcr/m/n/10.95 GpuDnnBatchNormInference \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 GpuDnnConvDesc \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 GpuDnnConvGradI \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 GpuDnnConvGradW \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 GpuDnnDropoutOp \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class
in
Underfull \hbox (badness 10000) in paragraph at lines 1206--1207
[]\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 1207--1208
[]\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 1208--1209
[]\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 1209--1210
[]\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 1210--1211
[]\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 1211--1212
[]\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 1214--1215
[]\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 1215--1216
[]\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 1216--1217
[]\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 1217--1218
[]\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 1218--1219
[]\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 1219--1220
[]\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 1221--1222
[]\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 1224--1225
[]\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 1226--1227
[]\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 1231--1232
[]\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 1232--1233
[]\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 1234--1235
[]\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 1236--1237
[]\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 1238--1239
[]\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 1241--1242
[]\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 1243--1244
[]\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 1245--1246
[]\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 1248--1250
[]\T1/pcr/m/n/10.95 grab_cpu_scalar() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in
mod-ule
[824]
Underfull \hbox (badness 10000) in paragraph at lines 1252--1253
[]\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 1253--1255
[]\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 1256--1257
[]\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.
nlinalg.MatrixInverse
Underfull \hbox (badness 10000) in paragraph at lines 1258--1259
[]\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 1260--1261
[]\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 1278--1279
[]\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 1283--1284
[]\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 1284--1285
[]\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 1285--1286
[]\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 1286--1287
[]\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 1287--1288
[]\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 1290--1291
[]\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 1291--1292
[]\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 1293--1294
[]\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 1300--1301
[]\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 1302--1303
[]\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 1304--1306
[]\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 1310--1312
[]\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 1317--1318
[]\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 1320--1322
[]\T1/pcr/m/n/10.95 infer_context_name() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95
in mod-ule
[825]
Underfull \hbox (badness 10000) in paragraph at lines 1325--1326
[]\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 1326--1328
[]\T1/pcr/m/n/10.95 inline_reduce() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo
d-ule
Underfull \hbox (badness 10000) in paragraph at lines 1330--1332
[]\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 1335--1337
[]\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 1340--1341
[]\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 1346--1348
[]\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 1348--1349
[]\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 1350--1351
[]\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 1356--1357
[]\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 1357--1358
[]\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 1358--1359
[]\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 1359--1360
[]\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 1361--1362
[]\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 1362--1363
[]\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 1375--1377
[]\T1/pcr/m/n/10.95 kernel_version()
Overfull \hbox (5.14027pt too wide) in paragraph at lines 1375--1377
\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 1381--1382
[]\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 1382--1383
[]\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 1399--1400
[]\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 1400--1401
[]\T1/pcr/m/n/10.95 list_contexts() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo
d-ule
[826]
Underfull \hbox (badness 10000) in paragraph at lines 1401--1402
[]\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 1406--1407
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 1407--1409
[]\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 1409--1410
[]\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 1426--1427
[]\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 1427--1428
[]\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 1428--1429
[]\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 1430--1431
[]\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 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.GpuAlloc
Overfull \hbox (39.87405pt 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.GpuAllocEmpty
Overfull \hbox (39.28285pt 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.GpuContiguous
Overfull \hbox (5.19582pt too wide) in paragraph at lines 1437--1438
[]\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 1438--1440
[]\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 1440--1442
[]\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 1442--1444
[]\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 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.basic_ops.GpuSplit
Overfull \hbox (18.19356pt 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.basic_ops.GpuToGpu
Overfull \hbox (1.5713pt 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.basic_ops.GpuTri
Overfull \hbox (32.70203pt 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.basic_ops.HostFromGpu
Overfull \hbox (13.72581pt too wide) in paragraph at lines 1451--1452
[]\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 1452--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.GpuCorr3dMM_gradInputs
Overfull \hbox (73.99416pt too wide) in paragraph at lines 1454--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.GpuCorr3dMM_gradWeights
Overfull \hbox (2.77583pt too wide) 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.GpuCorrMM
Overfull \hbox (56.14577pt too wide) in paragraph at lines 1457--1459
[]\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 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.blas.GpuCorrMM_gradWeights
Underfull \hbox (badness 10000) in paragraph at lines 1461--1462
[]\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 1462--1463
[]\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 1463--1464
[]\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 1464--1465
[]\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 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.blas.GpuGer
Overfull \hbox (30.58902pt too wide) in paragraph at lines 1467--1469
[]\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 1469--1471
[]\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 1471--1473
[]\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 1473--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.GpuDnnConv
Overfull \hbox (24.82932pt too wide) in paragraph at lines 1474--1476
[]\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
[827]
Overfull \hbox (29.538pt too wide) in paragraph at lines 1476--1478
[]\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 1478--1480
[]\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 1480--1482
[]\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 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.GpuDnnPoolDesc
Overfull \hbox (23.0228pt too wide) in paragraph at lines 1485--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.GpuDnnPoolGrad
Overfull \hbox (24.66504pt 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.GpuDnnReduction
Overfull \hbox (51.88657pt 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.GpuDnnRNNGradInputs
Overfull \hbox (58.78497pt 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.GpuDnnRNNGradWeights
Overfull \hbox (14.9416pt too wide) in paragraph at lines 1493--1494
[]\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 1494--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.GpuDnnSoftmax
Overfull \hbox (38.49486pt 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.GpuDnnSoftmaxGrad
Overfull \hbox (61.45668pt 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.dnn.GpuDnnTransformerGradI
Overfull \hbox (63.8985pt 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.dnn.GpuDnnTransformerGradT
Overfull \hbox (55.54353pt 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.dnn.GpuDnnTransformerGrid
Overfull \hbox (71.35524pt 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.dnn.GpuDnnTransformerSampler
Overfull \hbox (51.26193pt 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.elemwise.GpuCAReduceCPY
Overfull \hbox (54.90836pt 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.elemwise.GpuCAReduceCuda
Overfull \hbox (33.42462pt 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.elemwise.GpuDimShuffle
Overfull \hbox (26.93095pt 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.elemwise.GpuElemwise
Overfull \hbox (10.40785pt 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.GpuCholesky
Overfull \hbox (72.59232pt 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.GpuCublasTriangularSolve
Overfull \hbox (33.63246pt too wide) in paragraph at lines 1517--1519
[]\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 1519--1521
[]\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 1521--1523
[]\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 1523--1525
[]\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 1525--1526
[]\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 1526--1528
[]\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 1528--1530
[]\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 1530--1532
[]\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 1532--1534
[]\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 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.nnet.GpuSoftmaxWithBias
Overfull \hbox (123.80515pt 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.GpuAdvancedBooleanIncSubtensor
Overfull \hbox (109.82213pt 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.GpuAdvancedBooleanSubtensor
Overfull \hbox (87.30904pt 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.GpuAdvancedIncSubtensor
Overfull \hbox (92.78403pt 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.GpuAdvancedIncSubtensor1
Overfull \hbox (124.24329pt 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.GpuAdvancedIncSubtensor1_dev20
Overfull \hbox (73.32602pt 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.GpuAdvancedSubtensor
Overfull \hbox (78.80101pt 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.GpuAdvancedSubtensor1
Overfull \hbox (31.2564pt too wide) in paragraph at lines 1551--1553
[]\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 1553--1555
[]\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 1555--1557
[]\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 1557--1559
[]\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 1559--1560
[]\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 1560--1561
[]\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 1561--1562
[]\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 1562--1564
[]\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
[828]
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.AddSD
Underfull \hbox (badness 10000) 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.AddSS
Underfull \hbox (badness 10000) in paragraph at lines 1566--1567
[]\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
Overfull \hbox (50.13338pt too wide) in paragraph at lines 1569--1571
[]\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 1571--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.CSM
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.CSMGrad
Overfull \hbox (5.20613pt too wide) in paragraph at lines 1573--1574
[]\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 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.DenseFromSparse
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.Diag
Overfull \hbox (28.39796pt too wide) in paragraph at lines 1578--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.EnsureSortedIndices
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.GetItem2d
Overfull \hbox (21.95935pt too wide) in paragraph at lines 1582--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.GetItem2ListsGrad
Underfull \hbox (badness 10000) in paragraph at lines 1584--1585
[]\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 1585--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.GetItemListGrad
Overfull \hbox (1.4284pt too wide) in paragraph at lines 1587--1588
[]\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 1588--1589
[]\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 1589--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.MulSD
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.MulSS
Underfull \hbox (badness 10000) in paragraph at lines 1591--1592
[]\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 1593--1594
[]\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 1594--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.RowScaleCSC
Overfull \hbox (17.86447pt 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.SparseFromDense
Underfull \hbox (badness 10000) in paragraph at lines 1598--1599
[]\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 1599--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.SquareDiagonal
Overfull \hbox (13.19978pt too wide) in paragraph at lines 1601--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.StructuredAddSV
Overfull \hbox (42.852pt too wide) in paragraph at lines 1604--1606
[]\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 1606--1608
[]\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 1608--1609
[]\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 1609--1610
[]\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 1610--1611
[]\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 1611--1613
[]\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 1613--1615
[]\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 1615--1616
[]\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 1616--1617
[]\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 1617--1618
[]\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 1619--1621
[]\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 1621--1622
[]\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 1623--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.Bartlett
Overfull \hbox (23.85408pt 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.CpuContiguous
[829]
Underfull \hbox (badness 10000) in paragraph at lines 1626--1627
[]\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 1627--1628
[]\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 1628--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.FillDiagonal
Overfull \hbox (37.65059pt 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.FillDiagonalOffset
Overfull \hbox (27.86154pt too wide) in paragraph at lines 1632--1634
[]\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
Overfull \hbox (25.69357pt too wide) in paragraph at lines 1635--1637
[]\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 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.extra_ops.Unique
Overfull \hbox (14.91896pt too wide) in paragraph at lines 1638--1640
[]\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 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.io.LoadFromDisk
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.io.MPIRecv
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.io.MPIRecvWait
Underfull \hbox (badness 10000) in paragraph at lines 1643--1644
[]\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 1644--1645
[]\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 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.AllocDiag
Underfull \hbox (badness 10000) in paragraph at lines 1648--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.Eigh
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.EighGrad
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.lstsq
Overfull \hbox (4.64763pt too wide) in paragraph at lines 1651--1653
[]\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 1653--1654
[]\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 1654--1655
[]\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 1655--1657
[]\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 1657--1658
[]\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 1658--1659
[]\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 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.abstract_conv.AbstractConv
Overfull \hbox (107.51138pt too wide) in paragraph at lines 1662--1664
[]\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 1664--1666
[]\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 1666--1668
[]\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 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.nnet.blocksparse.SparseBlockOuter
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.opt.MakeVector
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.Cholesky
Overfull \hbox (4.93245pt 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
nsor.slinalg.CholeskyGrad
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.te
nsor.slinalg.Eigvalsh
Overfull \hbox (3.22433pt too wide) in paragraph at lines 1676--1678
[]\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 1678--1679
[]\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 1679--1680
[]\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 1680--1681
[]\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 1681--1683
[]\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 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.Append
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.Count
Underfull \hbox (badness 10000) in paragraph at lines 1685--1686
[]\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 1686--1687
[]\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 1687--1688
[]\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 1688--1689
[]\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
[830]
Underfull \hbox (badness 10000) in paragraph at lines 1689--1690
[]\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 1690--1691
[]\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 1691--1692
[]\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 1692--1693
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 1694--1695
[]\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 1696--1697
[]\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 1697--1699
[]\T1/pcr/m/n/10.95 make_view_array()
Overfull \hbox (9.78305pt too wide) in paragraph at lines 1697--1699
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor
Underfull \hbox (badness 10000) in paragraph at lines 1704--1705
[]\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 1708--1709
[]\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 1710--1711
[]\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 1713--1714
[]\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 1714--1716
[]\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 1719--1720
[]\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 1722--1724
[]\T1/pcr/m/n/10.95 merge_num_denum()
Underfull \hbox (badness 10000) in paragraph at lines 1722--1724
\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 1724--1725
[]\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 1728--1729
[]\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 1729--1730
[]\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 1730--1731
[]\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 1735--1736
[]\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 1736--1737
[]\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 1742--1743
[]\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 1744--1745
[]\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 1752--1753
[]\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 1753--1754
[]\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 1754--1756
[]\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
[831]
Underfull \hbox (badness 10000) in paragraph at lines 1756--1757
[]\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 1757--1758
[]\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 1758--1759
[]\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 ),
Underfull \hbox (badness 10000) in paragraph at lines 1765--1766
[]\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 1767--1768
[]\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 1768--1769
[]\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 1769--1771
[]\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 1777--1779
[]\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 1785--1787
[]\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 1788--1789
[]\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 1789--1791
[]\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 1791--1793
[]\T1/pcr/m/n/10.95 nonzero_values()
Underfull \hbox (badness 10000) in paragraph at lines 1791--1793
\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 1793--1794
[]\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 1795--1797
[]\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 1803--1805
[]\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 1809--1810
[]\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 1810--1811
[]\T1/pcr/m/n/10.95 on_change_input()
Underfull \hbox (badness 10000) in paragraph at lines 1810--1811
\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 1811--1812
[]\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 1812--1813
[]\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 1814--1815
[]\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 1832--1833
[]\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-
[832]
Underfull \hbox (badness 10000) in paragraph at lines 1833--1834
[]\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-
Underfull \hbox (badness 10000) in paragraph at lines 1840--1841
[]\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 1841--1842
[]\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 1846--1847
[]\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 1851--1852
[]\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 1855--1856
[]\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 1857--1858
[]\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 1859--1860
[]\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 1861--1862
[]\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 1864--1865
[]\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 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.GpuAllocEmpty
Overfull \hbox (26.14287pt too wide) in paragraph at lines 1869--1871
[]\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua
rray.basic_ops.GpuContiguous
Overfull \hbox (19.56204pt too wide) in paragraph at lines 1871--1873
[]\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 1874--1876
[]\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 1876--1877
[]\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 1877--1879
[]\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 1879--1880
[]\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 1880--1881
[]\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 1881--1882
[]\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 1882--1883
[]\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 1883--1885
[]\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 1885--1887
[]\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 1887--1889
[]\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 1889--1890
[]\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 1891--1893
[]\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 1893--1895
[]\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 1895--1897
[]\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 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.GpuAdvancedIncSubtensor1
Overfull \hbox (111.1033pt 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.GpuAdvancedIncSubtensor1_dev20
Overfull \hbox (65.66103pt too wide) in paragraph at lines 1901--1903
[]\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua
rray.subtensor.GpuAdvancedSubtensor1
[833]
Overfull \hbox (18.11641pt too wide) in paragraph at lines 1903--1905
[]\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 1905--1907
[]\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 1907--1909
[]\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 1909--1911
[]\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 1911--1912
[]\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 1912--1913
[]\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
Overfull \hbox (4.6372pt too wide) 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.sand
box.rng_mrg.mrg_uniform
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.AddSSData
Underfull \hbox (badness 6445) in paragraph at lines 1918--1919
[]\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 1919--1920
[]\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 1920--1922
[]\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 1923--1924
[]\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 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.CSMProperties
Overfull \hbox (4.72449pt too wide) in paragraph at lines 1925--1926
[]\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 1927--1928
[]\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 1928--1930
[]\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 1930--1931
[]\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 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.GetItem2Lists
Overfull \hbox (8.81937pt too wide) in paragraph at lines 1932--1934
[]\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 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.GetItemList
Underfull \hbox (badness 10000) in paragraph at lines 1936--1937
[]\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 1941--1942
[]\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 1942--1943
[]\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 1943--1944
[]\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 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.SamplingDot
Overfull \hbox (4.72449pt too wide) 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.SparseFromDense
Underfull \hbox (badness 10000) in paragraph at lines 1949--1950
[]\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 1950--1952
[]\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 1952--1954
[]\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 1954--1955
[]\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 1955--1956
[]\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 1958--1960
[]\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
[834]
Overfull \hbox (9.90382pt too wide) in paragraph at lines 1961--1963
[]\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 1963--1964
[]\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 1964--1965
[]\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 1965--1966
[]\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 1966--1967
[]\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 1967--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.Bartlett
Overfull \hbox (10.7141pt too wide) in paragraph at lines 1968--1970
[]\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 1970--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.CumOp
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.DiffOp
Overfull \hbox (24.5106pt too wide) in paragraph at lines 1974--1976
[]\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 1976--1978
[]\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 1978--1979
[]\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 1979--1981
[]\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 1981--1982
[]\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 1982--1984
[]\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 1984--1985
[]\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 1986--1987
[]\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 1988--1989
[]\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 1989--1990
[]\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 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.Eig method\T1/ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 1993--1994
[]\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 1995--1996
[]\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 1996--1997
[]\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 1997--1998
[]\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 1998--1999
[]\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 2000--2001
[]\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 2001--2002
[]\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 2002--2004
[]\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 2004--2006
[]\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 2006--2008
[]\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 2008--2010
[]\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 2010--2012
[]\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 2012--2013
[]\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 2013--2014
[]\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 2014--2015
[]\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 2015--2016
[]\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 2016--2017
[]\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 2017--2018
[]\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 2019--2020
[]\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens
or.slinalg.ExpmGrad
[835]
Overfull \hbox (5.40312pt too wide) in paragraph at lines 2021--2023
[]\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 2023--2024
[]\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 2024--2025
[]\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 2025--2026
[]\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 2026--2027
[]\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 2027--2028
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 2028--2029
[]\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 2029--2030
[]\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 2030--2031
[]\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 2031--2032
[]\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 2032--2033
[]\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 2033--2034
[]\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 2041--2042
[]\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 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.dnn.GpuDnnDropoutOp
Underfull \hbox (badness 10000) in paragraph at lines 2044--2046
[]\T1/pcr/m/n/10.95 prepare_node()
Overfull \hbox (16.91151pt too wide) in paragraph at lines 2044--2046
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY
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.gpuarray.linalg.GpuCholesky
Underfull \hbox (badness 10000) in paragraph at lines 2048--2050
[]\T1/pcr/m/n/10.95 prepare_node()
Overfull \hbox (38.2419pt too wide) in paragraph at lines 2048--2050
\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 2050--2052
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2050--2052
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCusolverSolve
Underfull \hbox (badness 10000) in paragraph at lines 2052--2054
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2052--2054
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase
Underfull \hbox (badness 10000) in paragraph at lines 2054--2056
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2054--2056
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaSVD
Underfull \hbox (badness 10000) in paragraph at lines 2056--2058
[]\T1/pcr/m/n/10.95 prepare_node()
Underfull \hbox (badness 10000) in paragraph at lines 2056--2058
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
Underfull \hbox (badness 10000) in paragraph at lines 2064--2065
[]\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 2065--2066
[]\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 2072--2073
[]\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 2078--2079
[]\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 2081--2083
[]\T1/pcr/m/n/10.95 python_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 2081--2083
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise
Underfull \hbox (badness 10000) in paragraph at lines 2083--2085
[]\T1/pcr/m/n/10.95 python_constant_folding()
Underfull \hbox (badness 10000) in paragraph at lines 2083--2085
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise
[836]
Underfull \hbox (badness 10000) in paragraph at lines 2098--2099
[]\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 2100--2101
[]\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 2102--2103
[]\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 2105--2106
[]\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 2106--2108
[]\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 2108--2110
[]\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 2110--2111
[]\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 2111--2112
[]\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 2113--2114
[]\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 2114--2116
[]\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 2117--2119
[]\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 2119--2121
[]\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 2121--2122
[]\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 2122--2123
[]\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 2123--2125
[]\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 2123--2125
\T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 2125--2126
[]\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 2126--2128
[]\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 2126--2128
\T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ),
Underfull \hbox (badness 10000) in paragraph at lines 2128--2129
[]\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 2129--2131
[]\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 2131--2132
[]\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 2132--2133
[]\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 2137--2138
[]\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 2138--2140
[]\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 2142--2144
[]\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 2144--2146
[]\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 2146--2148
[]\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 2148--2150
[]\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 2157--2158
[]\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-
[837]
Underfull \hbox (badness 10000) in paragraph at lines 2160--2162
[]\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
Underfull \hbox (badness 10000) in paragraph at lines 2164--2165
[]\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 2165--2166
[]\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 2166--2168
[]\T1/pcr/m/n/10.95 replace_validate()
Underfull \hbox (badness 10000) in paragraph at lines 2166--2168
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.toolbox.ReplaceValidate
Underfull \hbox (badness 10000) in paragraph at lines 2170--2171
[]\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 2172--2174
[]\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 2179--2181
[]\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 2186--2188
[]\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 2196--2197
[]\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 2204--2205
[]\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 2208--2209
[]\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 2209--2210
[]\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 2210--2212
[]\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 2212--2214
[]\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 2216--2218
[]\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 2218--2220
[]\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 2220--2221
[]\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 2223--2225
[]\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 2225--2227
[]\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 2229--2230
[]\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 2230--2231
[]\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 ),
[838]
Underfull \hbox (badness 10000) in paragraph at lines 2238--2239
[]\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 2239--2240
[]\T1/pcr/m/n/10.95 shape_of_variables() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95
in mod-ule
Underfull \hbox (badness 10000) in paragraph at lines 2250--2251
[]\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 2251--2253
[]\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 2253--2254
[]\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 2254--2256
[]\T1/pcr/m/n/10.95 SharedVariable
Underfull \hbox (badness 10000) in paragraph at lines 2254--2256
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 2260--2261
[]\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 2261--2262
[]\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 2262--2264
[]\T1/pcr/m/n/10.95 simplify_constants()
Underfull \hbox (badness 10000) in paragraph at lines 2262--2264
\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 2264--2266
[]\T1/pcr/m/n/10.95 simplify_factors()
Underfull \hbox (badness 10000) in paragraph at lines 2264--2266
\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 2266--2267
[]\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 2273--2275
[]\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 2275--2276
[]\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 2276--2278
[]\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 2278--2280
[]\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 2280--2281
[]\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 2282--2283
[]\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 2285--2287
[]\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 2288--2289
[]\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 2290--2292
[]\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 2292--2294
[]\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 2294--2296
[]\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 2297--2298
[]\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 2298--2299
[]\T1/pcr/m/n/10.95 SparseFromDense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class
in
[839]
Underfull \hbox (badness 10000) in paragraph at lines 2302--2304
[]\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 2304--2305
[]\T1/pcr/m/n/10.95 split_params()
Underfull \hbox (badness 10000) in paragraph at lines 2308--2309
[]\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 2311--2313
[]\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 2317--2318
[]\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 2318--2319
[]\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 2322--2323
[]\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 2323--2324
[]\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 2324--2325
[]\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 2326--2327
[]\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 2327--2328
[]\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 2333--2334
[]\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 2336--2338
[]\T1/pcr/m/n/10.95 supports_c_code()
Overfull \hbox (20.55794pt too wide) in paragraph at lines 2336--2338
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda
Underfull \hbox (badness 5388) in paragraph at lines 2346--2347
[]\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 2347--2348
[]\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 2367--2368
[]\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 2369--2370
[]\T1/pcr/m/n/10.95 tensorsolve() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-
ule
[840]
Underfull \hbox (badness 10000) in paragraph at lines 2377--2378
[]\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 2379--2380
[]\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 ),
Underfull \hbox (badness 10000) in paragraph at lines 2399--2400
[]\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 2414--2415
[]\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 2421--2422
[]\T1/pcr/m/n/10.95 theano.tensor.nnet.abstract_conv
Underfull \hbox (badness 10000) in paragraph at lines 2424--2425
[]\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 2428--2429
[]\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams
Underfull \hbox (badness 10000) in paragraph at lines 2438--2439
[]\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 2442--2443
[]\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 2447--2448
[]\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 2450--2452
[]\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
[841]
Underfull \hbox (badness 10000) in paragraph at lines 2454--2456
[]\T1/pcr/m/n/10.95 truncated_normal()
Overfull \hbox (26.60251pt too wide) in paragraph at lines 2454--2456
\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 2459--2460
[]\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 2460--2461
[]\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 2461--2462
[]\T1/pcr/m/n/10.95 TypedListConstant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla
ss in
Underfull \hbox (badness 10000) in paragraph at lines 2462--2463
[]\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 2466--2468
[]\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 2469--2470
[]\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 2471--2472
[]\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 2472--2474
[]\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 2476--2477
[]\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 2477--2478
[]\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 2478--2479
[]\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 2481--2483
[]\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 2484--2486
[]\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 2486--2487
[]\T1/pcr/m/n/10.95 update_shape()
Underfull \hbox (badness 5374) in paragraph at lines 2486--2487
\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 2487--2489
[]\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 2497--2498
[]\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 2498--2500
[]\T1/pcr/m/n/10.95 value_validity_msg()
Overfull \hbox (9.70728pt too wide) in paragraph at lines 2501--2503
[]\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 2503--2504
[]\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 2504--2505
[]\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 2505--2507
[]\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 2507--2509
[]\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 2510--2512
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2510--2512
\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 2512--2513
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2512--2513
\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 2513--2514
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2514--2516
[]\T1/pcr/m/n/10.95 values_eq_approx()
Underfull \hbox (badness 10000) in paragraph at lines 2514--2516
\T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType
Underfull \hbox (badness 10000) in paragraph at lines 2517--2518
[]\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 2523--2524
[]\T1/pcr/m/n/10.95 Variable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar
ray.type.GpuArrayType
[842]
Underfull \hbox (badness 10000) in paragraph at lines 2525--2526
[]\T1/pcr/m/n/10.95 variables_and_orphans() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.
95 in mod-ule
Underfull \hbox (badness 10000) in paragraph at lines 2541--2543
[]\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 2543--2544
[]\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 2545--2546
[]\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 2548--2549
[]\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 2560--2562
[]\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
[843]) (./theano.aux) )
(see the transcript file for additional information) </<<BUILDDIR>>/thea
no-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tc
tt1095.600pk>{/usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} </buil
d/theano-cwjVNk/theano-1.0.4+dfsg/jupyter_tmp/.texlive2019/texmf-var/fonts/pk/l
jfour/jknappen/ec/tctt1000.600pk> </<<BUILDDIR>>/theano-1.0.4+dfsg/jupyt
er_tmp/.texlive2019/texmf-var/fonts/pk/ljfour/jknappen/ec/tcit1000.600pk></usr/
share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmbx10.pfb></usr/share/
texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmex10.pfb></usr/share/texliv
e/texmf-dist/fonts/type1/public/amsfonts/cmextra/cmex8.pfb></usr/share/texlive/
texmf-dist/fonts/type1/public/amsfonts/cm/cmmi10.pfb></usr/share/texlive/texmf-
dist/fonts/type1/public/amsfonts/cm/cmmi6.pfb></usr/share/texlive/texmf-dist/fo
nts/type1/public/amsfonts/cm/cmmi8.pfb></usr/share/texlive/texmf-dist/fonts/typ
e1/public/amsfonts/cm/cmr10.pfb></usr/share/texlive/texmf-dist/fonts/type1/publ
ic/amsfonts/cm/cmr6.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfo
nts/cm/cmr8.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/c
msy10.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy6.p
fb></usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy8.pfb></us
r/share/texlive/texmf-dist/fonts/type1/public/amsfonts/symbols/msbm10.pfb></usr
/share/texlive/texmf-dist/fonts/type1/urw/courier/ucrb8a.pfb></usr/share/texliv
e/texmf-dist/fonts/type1/urw/courier/ucrbo8a.pfb></usr/share/texlive/texmf-dist
/fonts/type1/urw/courier/ucrr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/
urw/courier/ucrro8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic
/uhvb8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvbo8a.pfb
></usr/share/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvr8a.pfb></usr/share
/texlive/texmf-dist/fonts/type1/urw/helvetic/uhvro8a.pfb></usr/share/texlive/te
xmf-dist/fonts/type1/urw/times/utmb8a.pfb></usr/share/texlive/texmf-dist/fonts/
type1/urw/times/utmbi8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/time
s/utmr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/utmri8a.pfb>
Output written on theano.pdf (847 pages, 3771070 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 () are up-to-date
make[2]: Leaving directory '/tmp/tmpn6a77e_t'
rst2html README.rst README.html
cat NEWS.txt HISTORY.txt | gzip -n -9 > NEWS.gz
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
debian/rules override_dh_auto_test
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
PYBUILD_SYSTEM=custom PYBUILD_TEST_ARGS='PYTHONPATH=. {interpreter} theano/tests/run_tests_in_batch.py' dh_auto_test
I: pybuild base:217: PYTHONPATH=. python3.8 theano/tests/run_tests_in_batch.py
####################
# COLLECTING TESTS #
####################
......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
----------------------------------------------------------------------
Ran 6438 tests in 32.588s
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 408.307s
OK (SKIP=1)
2% done in 414.854s (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 ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/compile/nanguardmode.py:150: RuntimeWarning: All-NaN slice encountered
return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr))
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gof/vm.py:886: UserWarning: CVM does not support memory profile, using Stack VM.
warnings.warn(
ok
#160 test_profiling (theano.compile.tests.test_profiling.Test_profiling) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gof/vm.py:886: UserWarning: CVM does not support memory profile, using Stack VM.
warnings.warn(
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 302.848s
OK (SKIP=1)
0.058164613716645386
0.058164613716645386
0.058164613716645386
0.058164613716645386
4% done in 308.914s (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 437.417s
OK
6% done in 443.299s (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 ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gof/vm.py:889: UserWarning: LoopGC does not support partial evaluation, using Stack VM.
warnings.warn(
ok
#355 theano.gof.tests.test_vm.test_partial_function_with_output_keys ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gof/vm.py:889: UserWarning: LoopGC does not support partial evaluation, using Stack VM.
warnings.warn(
ok
#356 theano.gof.tests.test_vm.test_partial_function_with_updates ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gof/vm.py:889: UserWarning: LoopGC does not support partial evaluation, using Stack VM.
warnings.warn(
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gof/vm.py:889: UserWarning: LoopGC does not support partial evaluation, using Stack VM.
warnings.warn(
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 ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/gpuarray/type.py:894: UserWarning: config.experimental.unpickle_gpu_on_cpu is set to True. Unpickling GpuArray as numpy.ndarray
warnings.warn(
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 152.528s
OK (SKIP=27)
8% done in 160.798s (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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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 ... /<<BUILDDIR>>/theano-1.0.4+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), [<TensorType(float64, matrix)>], [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), [<TensorType(float64, matrix)>], [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 ... /<<BUILDDIR>>/theano-1.0.4+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 1759.184s
OK (SKIP=2)
11% done in 1765.613s (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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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 4383.346s
OK (SKIP=8)
13% done in 4392.904s (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),
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/sparse/tests/test_basic.py:2438: 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/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
/usr/lib/python3/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
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 1694.341s
OK (SKIP=1)
15% done in 1703.794s (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/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
/usr/lib/python3/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
ok
#771 test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3/dist-packages/scipy/sparse/_index.py:118: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
self._set_arrayXarray_sparse(i, j, x)
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:307: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead.
warn("Comparing sparse matrices using >= and <= is inefficient, "
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 1107.059s
OK (SKIP=3)
17% done in 1116.080s (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/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
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/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
/usr/lib/python3/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
self._set_intXint(row, col, x.flat[0])
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) ... 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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:45: 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.
inputIndice = np.vstack(permutation(nInputBlock)[:inputWindowSize]
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:47: 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.
outputIndice = np.vstack(
ok
#886 test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:45: 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.
inputIndice = np.vstack(permutation(nInputBlock)[:inputWindowSize]
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:47: 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.
outputIndice = np.vstack(
ok
#887 test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:70: 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.
xIdx = np.vstack(randint(0, nInputBlock, size=xWindowSize)
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:72: 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.
yIdx = np.vstack(randint(0, nOutputBlock, size=yWindowSize)
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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:45: 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.
inputIndice = np.vstack(permutation(nInputBlock)[:inputWindowSize]
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:47: 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.
outputIndice = np.vstack(
ok
#894 test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:70: 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.
xIdx = np.vstack(randint(0, nInputBlock, size=xWindowSize)
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:72: 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.
yIdx = np.vstack(randint(0, nOutputBlock, size=yWindowSize)
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 8173.269s
OK (SKIP=1)
20% done in 8183.651s (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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... 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_00 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#972 test_filter_dilation_01 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#973 test_filter_dilation_02 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#974 test_filter_dilation_03 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#975 test_filter_dilation_04 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#976 test_filter_dilation_05 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#977 test_filter_dilation_06 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#978 test_filter_dilation_07 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#979 test_filter_dilation_08 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#980 test_filter_dilation_09 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#981 test_filter_dilation_10 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#982 test_filter_dilation_11 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
#983 test_filter_dilation_12 (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 3144.104s
OK
22% done in 3154.152s (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) ... /<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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]),
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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]),
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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])),
/<<BUILDDIR>>/theano-1.0.4+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]),
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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/python3.8/unittest/case.py:633: 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.
method()
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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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/python3.8/unittest/case.py:633: 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.
method()
ok
#1072 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<<BUILDDIR>>/theano-1.0.4+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/python3.8/unittest/case.py:633: 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.
method()
ok
#1079 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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 ... /<<BUILDDIR>>/theano-1.0.4+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 816.707s
OK (SKIP=6)
24% done in 827.229s (failed: 0)
#1101 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown_bias ... /<<BUILDDIR>>/theano-1.0.4+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 ... /<<BUILDDIR>>/theano-1.0.4+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 749.234s
OK
26% done in 760.413s (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 191.335s
OK
29% done in 201.147s (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) ... /<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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 681.052s
OK
31% done in 691.232s (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 85.013s
OK
33% done in 95.249s (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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:914: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
output = pool_3d(input=images,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:914: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
output = pool_3d(input=images,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:914: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'.
output = pool_3d(input=images,
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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:1098: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
y = pool_2d(input=x,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:1098: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
y = pool_2d(input=x,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:1098: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'.
y = pool_2d(input=x,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:1114: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
y = pool_2d(input=x,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:1114: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
y = pool_2d(input=x,
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/signal/tests/test_pool.py:1114: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'.
y = pool_2d(input=x,
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 645.424s
OK
35% done in 655.713s (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 536.963s
OK
37% done in 546.656s (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 756.087s
OK
40% done in 765.823s (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 395.298s
OK
42% done in 405.054s (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 499.229s
OK
44% done in 508.935s (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 1177.469s
OK
46% done in 1187.377s (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 1850.709s
OK
49% done in 1861.095s (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/python3.8/unittest/case.py:633: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead.
method()
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 613.996s
OK
51% done in 624.353s (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) ... /<<BUILDDIR>>/theano-1.0.4+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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/tests/test_basic.py:8223: UserWarning: Tile op is deprecated, use tile function instead.
[Tile(ndim)(advec, aivec_val)],
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/tests/test_basic.py:8231: UserWarning: Tile op is deprecated, use tile function instead.
[Tile(ndim)(admat, aivec_val)],
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/tests/test_basic.py:8239: 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 573.213s
OK
53% done in 583.543s (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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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 1073.788s
OK (SKIP=1)
55% done in 1084.781s (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 ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:5280: UserWarning: flatten outdim parameter is deprecated, use ndim instead.
warnings.warn(
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 848.853s
OK
58% done in 859.609s (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 410.688s
OK
60% done in 423.147s (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 3934.260s
OK (SKIP=6)
62% done in 3945.371s (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_basic_matrix (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok
#2861 test_basic_vector (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok
#2862 test_infer_shape_matrix (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok
#2863 test_infer_shape_vector (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok
#2864 test_op (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok
#2865 test_ravel_multi_index (theano.tensor.tests.test_extra_ops.test_ravel_multi_index) ... ok
#2866 test_unravel_index (theano.tensor.tests.test_extra_ops.test_unravel_index) ... ok
#2867 theano.tensor.tests.test_extra_ops.test_cpu_contiguous ... ok
#2868 theano.tensor.tests.test_extra_ops.test_to_one_hot ... /<<BUILDDIR>>/theano-1.0.4+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]
/<<BUILDDIR>>/theano-1.0.4+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
#2869 test_1Drfft (theano.tensor.tests.test_fft.TestFFT) ... ok
#2870 test_grad_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok
#2871 test_irfft (theano.tensor.tests.test_fft.TestFFT) ... ok
#2872 test_norm_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok
#2873 test_params (theano.tensor.tests.test_fft.TestFFT) ... ok
#2874 test_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok
#2875 test_rfft_float (theano.tensor.tests.test_fft.TestFFT) ... ok
#2876 test_gradient (theano.tensor.tests.test_fourier.TestFourier) ... SKIP: Skipping test: test_gradient: Complex grads not enabled, see #178
#2877 test_infer_shape (theano.tensor.tests.test_fourier.TestFourier) ... ok
#2878 test_perform (theano.tensor.tests.test_fourier.TestFourier) ... ok
#2879 theano.tensor.tests.test_gc.test_no_reuse ... ok
#2880 theano.tensor.tests.test_gc.test_gc_never_pickles_temporaries ... ok
#2881 theano.tensor.tests.test_gc.test_merge_opt_runtime ... ok
#2882 test_grad_inc_set (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok
#2883 test_simple_2d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok
#2884 test_simple_3d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok
#2885 test_wrong_broadcast (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok
#2886 test_wrong_dims (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok
#2887 test0 (theano.tensor.tests.test_io.T_load_tensor) ... ok
#2888 test1 (theano.tensor.tests.test_io.T_load_tensor) ... ok
#2889 test_invalid_modes (theano.tensor.tests.test_io.T_load_tensor) ... ok
#2890 test_memmap (theano.tensor.tests.test_io.T_load_tensor) ... ok
#2891 test_keepdims (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok
#2892 test_norm (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok
#2893 theano.tensor.tests.test_merge.test_merge_with_weird_eq ... ok
#2894 theano.tensor.tests.test_misc.test_bug_2009_06_02_trac_387 ... ok
#2895 theano.tensor.tests.test_misc.test_bug_2009_07_17_borrowed_output ... ok
#2896 theano.tensor.tests.test_misc.test_deepcopied_type_filter ... ok
#2897 theano.tensor.tests.test_mpi.test_send ... ok
#2898 theano.tensor.tests.test_mpi.test_mpi_roundtrip ... SKIP: MPI not enabled
#2899 theano.tensor.tests.test_mpi.test_mpi_send_wait_cmp ... ok
#2900 theano.tensor.tests.test_mpi.test_mpi_schedule ... ok
----------------------------------------------------------------------
Ran 100 tests in 1082.600s
OK (SKIP=2)
64% done in 1093.562s (failed: 0)
#2901 theano.tensor.tests.test_mpi.test_can_make_function ... ok
#2902 theano.tensor.tests.test_mpi.test_mpi_tag_ordering ... ok
#2903 theano.tensor.tests.test_mpi.test_recv ... ok
#2904 test_non_square_matrix (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok
#2905 test_numpy_compare (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok
#2906 test_non_tensorial_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok
#2907 test_numpy_compare (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok
#2908 test_tensor_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok
#2909 test_wrong_type_of_ord_for_matrix (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok
#2910 test_wrong_type_of_ord_for_vector (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok
#2911 test_correct_solution (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok
#2912 test_wrong_coefficient_matrix (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok
#2913 test_wrong_rcond_dimension (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok
#2914 test_eval (theano.tensor.tests.test_nlinalg.test_Eig) ... ok
#2915 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eig) ... ok
#2916 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok
#2917 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok
#2918 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok
#2919 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok
#2920 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok
#2921 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok
#2922 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok
#2923 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok
#2924 test_infer_shape (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok
#2925 test_inverse_correctness (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok
#2926 test_svd (theano.tensor.tests.test_nlinalg.test_SVD) ... ok
#2927 test_svd_infer_shape (theano.tensor.tests.test_nlinalg.test_SVD) ... ok
#2928 test_eval (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok
#2929 test_infer_shape (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok
#2930 test_alloc_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok
#2931 test_alloc_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok
#2932 test_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok
#2933 test_extract_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok
#2934 test_extract_diag_empty (theano.tensor.tests.test_nlinalg.test_diag) ... ok
#2935 test_extract_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
#2936 theano.tensor.tests.test_nlinalg.test_pseudoinverse_correctness ... ok
#2937 theano.tensor.tests.test_nlinalg.test_pseudoinverse_grad ... ok
#2938 theano.tensor.tests.test_nlinalg.test_matrix_dot ... ok
#2939 theano.tensor.tests.test_nlinalg.test_qr_modes ... ok
#2940 theano.tensor.tests.test_nlinalg.test_tensorsolve ... ok
#2941 theano.tensor.tests.test_nlinalg.test_inverse_singular ... ok
#2942 theano.tensor.tests.test_nlinalg.test_inverse_grad ... ok
#2943 theano.tensor.tests.test_nlinalg.test_det ... ok
#2944 theano.tensor.tests.test_nlinalg.test_det_grad ... ok
#2945 theano.tensor.tests.test_nlinalg.test_det_shape ... ok
#2946 theano.tensor.tests.test_nlinalg.test_trace ... ok
#2947 test_local_useless_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok
#2948 test_rebroadcast_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok
#2949 test_local_useless_tile (theano.tensor.tests.test_opt.T_Tile) ... ok
#2950 test_consecutive (theano.tensor.tests.test_opt.T_cast_cast) ... ok
#2951 test_upcast (theano.tensor.tests.test_opt.T_cast_cast) ... ok
#2952 test (theano.tensor.tests.test_opt.T_func_inverse) ... ok
#2953 test_local_erf_minus_one (theano.tensor.tests.test_opt.T_local_erf) ... ok
#2954 test_local_one_minus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok
#2955 test_local_one_plus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok
#2956 test_local_erf_neg_minus_one (theano.tensor.tests.test_opt.T_local_erfc) ... ok
#2957 test_local_grad_log_erfc_neg (theano.tensor.tests.test_opt.T_local_erfc) ... ok
#2958 test_local_log_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok
#2959 test_local_one_minus_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok
#2960 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok
#2961 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok
#2962 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok
#2963 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok
#2964 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok
#2965 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok
#2966 test_local_reduce_broadcast_all_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok
#2967 test_local_reduce_broadcast_all_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok
#2968 test_local_reduce_broadcast_some_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok
#2969 test_local_reduce_broadcast_some_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok
#2970 test_local_reduce_join (theano.tensor.tests.test_opt.T_local_reduce) ... ok
#2971 test_local_sum_prod_all_to_none (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2972 test_local_sum_prod_alloc (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2973 test_local_sum_prod_mul_by_scalar (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2974 test_local_sum_prod_mul_by_scalar_stack_trace (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2975 test_local_sum_sum_dtype (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2976 test_local_sum_sum_int8 (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2977 test_local_sum_sum_prod_prod (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok
#2978 test_local_prod_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok
#2979 test_local_sum_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok
#2980 test_local_div_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok
#2981 test_local_mul_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok
#2982 test_add (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok
#2983 test_eq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok
#2984 test_identity (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok
#2985 test_mul (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok
#2986 test_neq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok
#2987 test_local_useless_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok
#2988 test_nested_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok
#2989 test1 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok
#2990 test2 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok
#2991 test3 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok
#2992 test_infer_shape (theano.tensor.tests.test_opt.TestMakeVector) ... ok
#2993 test_make_vector (theano.tensor.tests.test_opt.TestMakeVector) ... ok
#2994 test_scalar (theano.tensor.tests.test_opt.TestShapeFeature) ... ok
#2995 test_vector (theano.tensor.tests.test_opt.TestShapeFeature) ... ok
#2996 test_vector2 (theano.tensor.tests.test_opt.TestShapeFeature) ... ok
#2997 test_vector_dim (theano.tensor.tests.test_opt.TestShapeFeature) ... ok
#2998 test_vector_dim_err (theano.tensor.tests.test_opt.TestShapeFeature) ... ok
#2999 test_infer_shape (theano.tensor.tests.test_opt.TestShape_i) ... ok
#3000 test_perform (theano.tensor.tests.test_opt.TestShape_i) ... ok
----------------------------------------------------------------------
Ran 100 tests in 639.050s
OK
66% done in 649.847s (failed: 0)
#3001 test_local_reshape (theano.tensor.tests.test_opt.Test_Reshape) ... ok
#3002 test_advancedincsubtensor1_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3003 test_advancedincsubtensor1_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3004 test_advancedincsubtensor1_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3005 test_advancedincsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3006 test_advancedincsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3007 test_advancedincsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3008 test_dot_allocs_0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3009 test_incsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3010 test_incsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3011 test_incsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3012 test_incsubtensor_x_zeros (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3013 test_setsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3014 test_setsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3015 test_setsubtensor_allocs1t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3016 test_setsubtensor_allocs2 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok
#3017 test_matrix_col (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok
#3018 test_matrix_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok
#3019 test_row_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok
#3020 test0 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok
#3021 test1 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok
#3022 test2 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok
#3023 test_useless_alloc_with_shape_one (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok
#3024 test_error (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok
#3025 test_multi_input_single_alloc (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok
#3026 test_remove_alloc_w_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok
#3027 test_remove_alloc_wo_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok
#3028 test_1 (theano.tensor.tests.test_opt.Test_local_reshape_to_dimshuffle) ... ok
#3029 test_and (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3030 test_and_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3031 test_equality_shapes (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3032 test_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3033 test_local_useless_elemwise_comparison (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3034 test_or (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3035 test_or_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3036 test_shape_add_inequality (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3037 test_shape_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3038 test_stacktrace (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3039 test_xor (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok
#3040 test_advanced_inc_subtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... /<<BUILDDIR>>/theano-1.0.4+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
#3041 test_advanced_inc_subtensor1 (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok
#3042 test_incsubtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok
#3043 test_0 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok
#3044 test_1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok
#3045 test_2 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok
#3046 test_m1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok
#3047 test_basic (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok
#3048 test_broadcasted (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok
#3049 test_different_dtypes (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok
#3050 test_fewer_dims (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok
#3051 test_multiple_idx (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok
#3052 test_not_applied (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok
#3053 test0 (theano.tensor.tests.test_opt.test_assert) ... ok
#3054 test_infer_shape (theano.tensor.tests.test_opt.test_assert) ... ok
#3055 test_local_remove_all_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok
#3056 test_local_remove_useless_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok
#3057 test_local_remove_useless_assert3 (theano.tensor.tests.test_opt.test_assert) ... ok
#3058 test_test_local_remove_useless_assert2 (theano.tensor.tests.test_opt.test_assert) ... ok
#3059 test_abs_mul_div (theano.tensor.tests.test_opt.test_canonize) ... ok
#3060 test_canonicalize_nan (theano.tensor.tests.test_opt.test_canonize) ... ok
#3061 test_dont_merge_if_multiple_client (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Not implemented
#3062 test_elemwise_multiple_inputs_optimisation (theano.tensor.tests.test_opt.test_canonize) ... ok
#3063 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.
#3064 test_muldiv (theano.tensor.tests.test_opt.test_canonize) ... ok
#3065 test_multiple_case (theano.tensor.tests.test_opt.test_canonize) ... ok
#3066 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.
#3067 test_dimshuffle_on_broadcastable (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3068 test_double_transpose (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3069 test_elim3 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3070 test_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3071 test_merge2 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3072 test_recursive_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3073 test_useless_dimshuffle (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok
#3074 test_elemwise_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok
#3075 test_elemwise_fusion_4d (theano.tensor.tests.test_opt.test_fusion) ... ok
#3076 test_fusion_35inputs (theano.tensor.tests.test_opt.test_fusion) ... ok
#3077 test_fusion_inplace (theano.tensor.tests.test_opt.test_fusion) ... ok
#3078 test_pickle_big_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok
#3079 test_kording_bug (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok
#3080 test_main (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok
#3081 test0 (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:3522: 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.
warnings.warn(
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:3522: 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.
warnings.warn(
/<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/opt.py:3522: 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.
warnings.warn(
ok
#3082 test_assert (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok
#3083 test_stack_trace (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok
#3084 test_elemwise (theano.tensor.tests.test_opt.test_local_merge_switch_same_cond) ... /<<BUILDDIR>>/theano-1.0.4+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
#3085 test0 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3086 test0b (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3087 test1 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3088 test2 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3089 test3 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3090 test4 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3091 test5 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3092 test6 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3093 test7 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok
#3094 test_AdvancedSubtensor1_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok
#3095 test_scalar_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok
#3096 test_slice_idx_step (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok
#3097 test_slice_idx_stop (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok
#3098 test_stack_trace (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok
#3099 test_const (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3100 test_const2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
----------------------------------------------------------------------
Ran 100 tests in 999.098s
OK (SKIP=3)
69% done in 1014.157s (failed: 0)
#3101 test_const3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3102 test_const4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3103 test_const5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3104 test_const6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3105 test_const_general (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3106 test_none_index (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3107 test_none_slice (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3108 test_scalar (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3109 test_scalar2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3110 test_scalar3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3111 test_scalar4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3112 test_scalar5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3113 test_scalar6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok
#3114 test_broadcast1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3115 test_broadcast2 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3116 test_broadcast3 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3117 test_const0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3118 test_const1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3119 test_left_is_right (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3120 test_shape_le_0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok
#3121 test0 (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok
#3122 test_broadcasted_dims (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok
#3123 test_constant (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok
#3124 test_constant_merge (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok
#3125 test_local_track_shape_i (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok
#3126 test_no_shapeopt (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok
#3127 theano.tensor.tests.test_opt.test_local_useless_dimshuffle_in_reshape ... ok
#3128 theano.tensor.tests.test_opt.test_add_canonizer_problem0 ... ok
#3129 theano.tensor.tests.test_opt.test_local_merge_abs ... ok
#3130 theano.tensor.tests.test_opt.test_merge_abs_bugfix ... ok
#3131 theano.tensor.tests.test_opt.test_mixeddiv ... ok
#3132 theano.tensor.tests.test_opt.test_const_type_in_mul_canonizer ... ok
#3133 theano.tensor.tests.test_opt.test_cast_in_mul_canonizer ... ok
#3134 theano.tensor.tests.test_opt.test_log1p ... ok
#3135 theano.tensor.tests.test_opt.test_log_add ... SKIP: log(add(exp)) is not stabilized when adding more than 2 elements, see #623
#3136 theano.tensor.tests.test_opt.test_local_useless_slice ... ok
#3137 theano.tensor.tests.test_opt.test_local_useless_inc_subtensor ... ok
#3138 theano.tensor.tests.test_opt.test_local_useless_subtensor ... ok
#3139 theano.tensor.tests.test_opt.test_local_subtensor_remove_broadcastable_index ... ok
#3140 theano.tensor.tests.test_opt.test_local_IncSubtensor_serialize ... ok
#3141 theano.tensor.tests.test_opt.test_local_set_to_inc_subtensor ... ok
#3142 theano.tensor.tests.test_opt.test_local_subtensor_of_dot ... ok
#3143 theano.tensor.tests.test_opt.test_local_subtensor_of_alloc ... ok
#3144 theano.tensor.tests.test_opt.test_local_fill_useless ... ok
#3145 theano.tensor.tests.test_opt.test_local_elemwise_sub_zeros ... ok
#3146 theano.tensor.tests.test_opt.test_local_mul_specialize ... ok
#3147 theano.tensor.tests.test_opt.test_local_pow_specialize ... ok
#3148 theano.tensor.tests.test_opt.test_local_pow_specialize_device_more_aggressive_on_cpu ... ok
#3149 theano.tensor.tests.test_opt.test_constant_folding ... ok
#3150 theano.tensor.tests.test_opt.test_constant_get_stabilized ... SKIP: Theano optimizes constant before stabilization. This breaks stabilization optimization in some cases. See #504.
#3151 theano.tensor.tests.test_opt.test_local_join_1 ... ok
#3152 theano.tensor.tests.test_opt.test_local_join_empty ... ok
#3153 theano.tensor.tests.test_opt.test_local_join_make_vector ... ok
#3154 theano.tensor.tests.test_opt.test_local_add_specialize ... ok
#3155 theano.tensor.tests.test_opt.test_local_tensor_scalar_tensor ... ok
#3156 theano.tensor.tests.test_opt.test_local_scalar_tensor_scalar ... ok
#3157 theano.tensor.tests.test_opt.test_local_div_to_inv ... ok
#3158 theano.tensor.tests.test_opt.test_local_useless_split ... ok
#3159 theano.tensor.tests.test_opt.test_local_flatten_lift ... ok
#3160 theano.tensor.tests.test_opt.test_local_reshape_lift ... ok
#3161 theano.tensor.tests.test_opt.test_local_upcast_elemwise_constant_inputs ... ok
#3162 theano.tensor.tests.test_opt.test_assert_op_gradient ... ok
#3163 theano.tensor.tests.test_opt.test_local_zero_div ... /<<BUILDDIR>>/theano-1.0.4+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)
/<<BUILDDIR>>/theano-1.0.4+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)
/<<BUILDDIR>>/theano-1.0.4+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
#3164 theano.tensor.tests.test_opt.test_local_sumsqr2dot ... ok
#3165 theano.tensor.tests.test_opt.test_local_expm1 ... ok
#3166 theano.tensor.tests.test_opt.test_local_merge_alloc ... ok
#3167 theano.tensor.tests.test_opt.test_local_useless_alloc ... ok
#3168 theano.tensor.tests.test_opt.test_local_log_sum_exp1 ... ok
#3169 theano.tensor.tests.test_opt.test_local_log_sum_exp2 ... ok
#3170 theano.tensor.tests.test_opt.test_local_log_sum_exp3 ... ok
#3171 test_optimization (theano.tensor.tests.test_opt_uncanonicalize.T_max_and_argmax) ... ok
#3172 test_optimization_max (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok
#3173 test_optimization_min (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok
#3174 theano.tensor.tests.test_opt_uncanonicalize.test_local_alloc_dimshuffle ... ok
#3175 theano.tensor.tests.test_opt_uncanonicalize.test_local_reshape_dimshuffle ... ok
#3176 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_alloc ... ok
#3177 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_subtensor ... ok
#3178 test_args (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3179 test_basic_usage (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3180 test_binomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3181 test_binomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3182 test_broadcast_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3183 test_choice (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3184 test_default_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3185 test_dtype (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3186 test_dtype_normal_uniform_687 (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3187 test_infer_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3188 test_inplace_norun (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3189 test_inplace_optimization (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3190 test_mixed_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3191 test_mixed_shape_bcastable (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3192 test_multinomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3193 test_multinomial_tensor3_a (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3194 test_multinomial_tensor3_b (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3195 test_multinomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3196 test_no_inplace (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3197 test_normal (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3198 test_normal_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3199 test_permutation (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3200 test_permutation_helper (theano.tensor.tests.test_raw_random.T_random_function) ... ok
----------------------------------------------------------------------
Ran 100 tests in 1241.060s
OK (SKIP=2)
71% done in 1252.277s (failed: 0)
#3201 test_pkl (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3202 test_poisson (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3203 test_random_function_ndim (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3204 test_random_function_ndim_added (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3205 test_random_function_noshape_args (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3206 test_random_function_noshape_noargs (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3207 test_random_integers (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3208 test_random_integers_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3209 test_symbolic_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3210 test_uniform (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3211 test_uniform_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3212 test_vector_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok
#3213 test_basics (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3214 test_binomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3215 test_broadcast_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3216 test_choice (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3217 test_default_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3218 test_default_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3219 test_default_updates (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3220 test_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3221 test_get_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3222 test_get_value_internal_type (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3223 test_getitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3224 test_mixed_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3225 test_mixed_shape_bcastable (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3226 test_multinomial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3227 test_multinomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3228 test_multiple_rng_aliasing (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3229 test_ndim (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3230 test_normal (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3231 test_normal_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3232 test_permutation (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3233 test_poisson (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3234 test_random_integers (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3235 test_random_integers_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3236 test_random_state_transfer (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3237 test_seed_fn (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3238 test_set_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3239 test_setitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3240 test_shared_constructor_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3241 test_shuffle_row_elements (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3242 test_symbolic_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3243 test_tutorial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3244 test_uniform (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3245 test_uniform_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3246 test_vector_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok
#3247 test_get_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3248 test_inplace_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3249 test_return_internal_type (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3250 test_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3251 test_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3252 test_shape_i (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3253 test_shared_do_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3254 test_shared_dont_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3255 test_specify_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3256 test_specify_shape_inplace (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3257 test_specify_shape_partial (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3258 test_values_eq (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok
#3259 theano.tensor.tests.test_sharedvar.test_scalar_shared_options ... ok
#3260 test_numpy_2d (theano.tensor.tests.test_slinalg.TestKron) ... ok
#3261 test_perform (theano.tensor.tests.test_slinalg.TestKron) ... ok
#3262 test_infer_shape (theano.tensor.tests.test_slinalg.test_Solve) ... ok
#3263 test_solve_correctness (theano.tensor.tests.test_slinalg.test_Solve) ... ok
#3264 test_solve_dtype (theano.tensor.tests.test_slinalg.test_Solve) ... ok
#3265 test_solve_grad (theano.tensor.tests.test_slinalg.test_Solve) ... ok
#3266 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
#3267 theano.tensor.tests.test_slinalg.test_cholesky_indef ... ok
#3268 theano.tensor.tests.test_slinalg.test_cholesky_grad ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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 ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
#3269 theano.tensor.tests.test_slinalg.test_cholesky_grad_indef ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/basic.py:6611: 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
#3270 theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok
theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok
#3271 theano.tensor.tests.test_slinalg.test_eigvalsh ... ok
#3272 theano.tensor.tests.test_slinalg.test_eigvalsh_grad ... ok
#3273 theano.tensor.tests.test_slinalg.test_expm ... ok
#3274 theano.tensor.tests.test_slinalg.test_expm_grad_1 ... ok
#3275 theano.tensor.tests.test_slinalg.test_expm_grad_2 ... ok
#3276 theano.tensor.tests.test_slinalg.test_expm_grad_3 ... ok
#3277 test_sort (theano.tensor.tests.test_sort.SortInferShapeTester) ... ok
#3278 test_argtopk_1d_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3279 test_argtopk_1d_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3280 test_argtopk_1d_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3281 test_argtopk_1d_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3282 test_argtopk_1d_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3283 test_argtopk_1d_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3284 test_argtopk_1d_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3285 test_argtopk_1d_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3286 test_argtopk_1d_08 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:293: 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
#3287 test_argtopk_1d_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3288 test_argtopk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3289 test_argtopk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3290 test_argtopk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3291 test_argtopk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3292 test_argtopk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3293 test_argtopk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3294 test_argtopk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3295 test_argtopk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3296 test_argtopk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3297 test_argtopk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3298 test_argtopk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3299 test_argtopk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3300 test_argtopk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 122 tests in 167.489s
OK
73% done in 179.887s (failed: 0)
#3301 test_argtopk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3302 test_argtopk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3303 test_argtopk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3304 test_argtopk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3305 test_argtopk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3306 test_argtopk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3307 test_argtopk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3308 test_argtopk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3309 test_argtopk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3310 test_argtopk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:293: 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
#3311 test_argtopk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3312 test_argtopk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3313 test_argtopk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3314 test_argtopk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3315 test_argtopk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3316 test_argtopk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3317 test_argtopk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3318 test_argtopk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3319 test_argtopk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3320 test_argtopk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3321 test_argtopk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3322 test_argtopk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3323 test_argtopk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3324 test_argtopk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3325 test_argtopk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3326 test_argtopk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3327 test_argtopk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3328 test_argtopk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3329 test_argtopk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3330 test_argtopk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3331 test_argtopk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3332 test_argtopk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3333 test_argtopk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3334 test_argtopk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3335 test_argtopk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3336 test_argtopk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3337 test_argtopk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3338 test_argtopk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3339 test_argtopk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3340 test_argtopk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3341 test_argtopk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3342 test_argtopk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3343 test_argtopk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3344 test_argtopk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3345 test_argtopk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3346 test_argtopk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3347 test_argtopk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3348 test_argtopk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3349 test_argtopk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3350 test_argtopk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3351 test_argtopk_1d_collision_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3352 test_argtopk_1d_collision_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3353 test_argtopk_1d_collision_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3354 test_argtopk_1d_collision_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3355 test_argtopk_1d_collision_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3356 test_argtopk_1d_collision_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3357 test_argtopk_1d_collision_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3358 test_argtopk_1d_collision_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3359 test_argtopk_1d_collision_08 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3360 test_argtopk_1d_collision_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3361 test_argtopk_1d_collision_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3362 test_argtopk_1d_collision_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3363 test_argtopk_1d_collision_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3364 test_argtopk_1d_collision_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3365 test_argtopk_1d_collision_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3366 test_argtopk_1d_collision_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3367 test_argtopk_1d_collision_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3368 test_argtopk_1d_collision_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3369 test_argtopk_1d_collision_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3370 test_argtopk_nd_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3371 test_argtopk_nd_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3372 test_argtopk_nd_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3373 test_argtopk_nd_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3374 test_argtopk_nd_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3375 test_argtopk_nd_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3376 test_argtopk_nd_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3377 test_argtopk_nd_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3378 test_argtopk_nd_08 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3379 test_argtopk_nd_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3380 test_argtopk_nd_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3381 test_argtopk_nd_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3382 test_argtopk_nd_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3383 test_argtopk_nd_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3384 test_argtopk_nd_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3385 test_argtopk_nd_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3386 test_argtopk_nd_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3387 test_argtopk_nd_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3388 test_argtopk_nd_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3389 test_argtopk_nd_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3390 test_argtopk_nd_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3391 test_argtopk_nd_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3392 test_argtopk_nd_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3393 test_argtopk_nd_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3394 test_argtopk_nd_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3395 test_argtopk_nd_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3396 test_argtopk_nd_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3397 test_argtopk_nd_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3398 test_argtopk_nd_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3399 test_argtopk_nd_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3400 test_argtopk_nd_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 34.974s
OK
75% done in 46.440s (failed: 0)
#3401 test_argtopk_nd_31 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:293: 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
#3402 test_argtopk_nd_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3403 test_argtopk_nd_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3404 test_argtopk_nd_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3405 test_argtopk_nd_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3406 test_argtopk_nd_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3407 test_argtopk_nd_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3408 test_argtopk_nd_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3409 test_argtopk_nd_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3410 test_argtopk_nd_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3411 test_argtopk_nd_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3412 test_argtopk_nd_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3413 test_argtopk_nd_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3414 test_argtopk_nd_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3415 test_argtopk_nd_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3416 test_argtopk_nd_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3417 test_argtopk_nd_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3418 test_argtopk_sanity_000_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3419 test_argtopk_sanity_001_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3420 test_argtopk_sanity_002_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3421 test_argtopk_sanity_003_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3422 test_argtopk_sanity_004_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3423 test_argtopk_sanity_005_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3424 test_argtopk_sanity_006_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3425 test_argtopk_sanity_007_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3426 test_argtopk_sanity_008_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3427 test_argtopk_sanity_009_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3428 test_argtopk_sanity_010_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3429 test_argtopk_sanity_011_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3430 test_argtopk_sanity_012_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3431 test_argtopk_sanity_013_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3432 test_argtopk_sanity_014_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3433 test_argtopk_sanity_015_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3434 test_argtopk_sanity_016_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3435 test_argtopk_sanity_017_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3436 test_argtopk_sanity_018_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3437 test_argtopk_sanity_019_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3438 test_argtopk_sanity_020_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3439 test_argtopk_sanity_021_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3440 test_argtopk_sanity_022_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3441 test_argtopk_sanity_023_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3442 test_argtopk_sanity_024_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3443 test_argtopk_sanity_025_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3444 test_argtopk_sanity_026_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3445 test_argtopk_sanity_027_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3446 test_argtopk_sanity_028_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3447 test_argtopk_sanity_029_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3448 test_argtopk_sanity_030_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3449 test_argtopk_sanity_031_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3450 test_argtopk_sanity_032_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3451 test_argtopk_sanity_033_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3452 test_argtopk_sanity_034_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3453 test_argtopk_sanity_035_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3454 test_argtopk_sanity_036_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3455 test_argtopk_sanity_037_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3456 test_argtopk_sanity_038_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3457 test_argtopk_sanity_039_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3458 test_argtopk_sanity_040_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3459 test_argtopk_sanity_041_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3460 test_argtopk_sanity_042_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3461 test_argtopk_sanity_043_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3462 test_argtopk_sanity_044_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3463 test_argtopk_sanity_045_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3464 test_argtopk_sanity_046_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3465 test_argtopk_sanity_047_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3466 test_argtopk_sanity_048_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3467 test_argtopk_sanity_049_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3468 test_argtopk_sanity_050_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3469 test_argtopk_sanity_051_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3470 test_argtopk_sanity_052_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3471 test_argtopk_sanity_053_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3472 test_argtopk_sanity_054_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3473 test_argtopk_sanity_055_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3474 test_argtopk_sanity_056_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3475 test_argtopk_sanity_057_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3476 test_argtopk_sanity_058_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3477 test_argtopk_sanity_059_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3478 test_argtopk_sanity_060_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3479 test_argtopk_sanity_061_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3480 test_argtopk_sanity_062_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3481 test_argtopk_sanity_063_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3482 test_argtopk_sanity_064_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3483 test_argtopk_sanity_065_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3484 test_argtopk_sanity_066_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3485 test_argtopk_sanity_067_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3486 test_argtopk_sanity_068_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3487 test_argtopk_sanity_069_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3488 test_argtopk_sanity_070_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3489 test_argtopk_sanity_071_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3490 test_argtopk_sanity_072_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3491 test_argtopk_sanity_073_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3492 test_argtopk_sanity_074_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3493 test_argtopk_sanity_075_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3494 test_argtopk_sanity_076_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3495 test_argtopk_sanity_077_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3496 test_argtopk_sanity_078_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3497 test_argtopk_sanity_079_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3498 test_argtopk_sanity_080_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3499 test_argtopk_sanity_081_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3500 test_argtopk_sanity_082_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 30.544s
OK
78% done in 42.021s (failed: 0)
#3501 test_argtopk_sanity_083_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3502 test_argtopk_sanity_084_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3503 test_argtopk_sanity_085_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3504 test_argtopk_sanity_086_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3505 test_argtopk_sanity_087_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3506 test_argtopk_sanity_088_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3507 test_argtopk_sanity_089_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3508 test_argtopk_sanity_090_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3509 test_argtopk_sanity_091_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3510 test_argtopk_sanity_092_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3511 test_argtopk_sanity_093_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3512 test_argtopk_sanity_094_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3513 test_argtopk_sanity_095_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3514 test_argtopk_sanity_096_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3515 test_argtopk_sanity_097_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3516 test_argtopk_sanity_098_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3517 test_argtopk_sanity_099_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3518 test_argtopk_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3519 test_argtopk_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3520 test_argtopk_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3521 test_argtopk_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3522 test_argtopk_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3523 test_argtopk_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3524 test_argtopk_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3525 test_argtopk_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3526 test_argtopk_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3527 test_argtopk_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3528 test_argtopk_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3529 test_argtopk_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3530 test_argtopk_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3531 test_argtopk_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3532 test_argtopk_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3533 test_argtopk_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3534 test_argtopk_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3535 test_argtopk_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3536 test_argtopk_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3537 test_argtopk_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3538 test_argtopk_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3539 test_argtopk_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3540 test_argtopk_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3541 test_argtopk_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3542 test_argtopk_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3543 test_argtopk_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3544 test_argtopk_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3545 test_argtopk_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3546 test_argtopk_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3547 test_argtopk_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3548 test_argtopk_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3549 test_argtopk_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3550 test_argtopk_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3551 test_argtopk_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3552 test_argtopk_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3553 test_argtopk_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3554 test_argtopk_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3555 test_argtopk_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3556 test_argtopk_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3557 test_argtopk_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3558 test_argtopk_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3559 test_argtopk_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3560 test_argtopk_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3561 test_argtopk_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3562 test_argtopk_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3563 test_argtopk_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3564 test_argtopk_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3565 test_argtopk_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3566 test_argtopk_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3567 test_argtopk_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3568 test_argtopk_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3569 test_argtopk_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3570 test_argtopk_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3571 test_argtopk_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3572 test_argtopk_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3573 test_argtopk_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3574 test_argtopk_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3575 test_argtopk_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3576 test_argtopk_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3577 test_argtopk_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3578 test_argtopk_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3579 test_argtopk_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3580 test_argtopk_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3581 test_argtopk_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3582 test_argtopk_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3583 test_argtopk_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3584 test_argtopk_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3585 test_argtopk_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3586 test_argtopk_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3587 test_argtopk_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3588 test_argtopk_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3589 test_argtopk_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3590 test_argtopk_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3591 test_argtopk_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3592 test_argtopk_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3593 test_argtopk_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3594 test_argtopk_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3595 test_argtopk_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3596 test_argtopk_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3597 test_argtopk_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3598 test_argtopk_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3599 test_argtopk_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3600 test_argtopk_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 25.257s
OK
80% done in 36.774s (failed: 0)
#3601 test_argtopk_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3602 test_argtopk_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3603 test_argtopk_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3604 test_argtopk_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3605 test_argtopk_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3606 test_argtopk_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3607 test_argtopk_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3608 test_argtopk_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3609 test_argtopk_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3610 test_argtopk_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3611 test_argtopk_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3612 test_argtopk_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3613 test_argtopk_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3614 test_argtopk_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3615 test_argtopk_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3616 test_argtopk_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3617 test_argtopk_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3618 test_argtopk_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3619 test_argtopk_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3620 test_argtopk_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3621 test_argtopk_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3622 test_argtopk_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3623 test_argtopk_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3624 test_argtopk_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3625 test_argtopk_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3626 test_argtopk_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3627 test_argtopk_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3628 test_argtopk_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3629 test_argtopk_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3630 test_argtopk_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3631 test_argtopk_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3632 test_argtopk_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3633 test_argtopk_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3634 test_argtopk_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3635 test_argtopk_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3636 test_argtopk_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3637 test_argtopk_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3638 test_argtopk_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3639 test_argtopk_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3640 test_argtopk_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3641 test_argtopk_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3642 test_argtopk_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3643 test_argtopk_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3644 test_argtopk_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3645 test_argtopk_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3646 test_argtopk_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3647 test_argtopk_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3648 test_argtopk_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3649 test_argtopk_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3650 test_argtopk_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3651 test_argtopk_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3652 test_argtopk_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3653 test_argtopk_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3654 test_argtopk_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3655 test_argtopk_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3656 test_argtopk_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3657 test_argtopk_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3658 test_argtopk_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3659 test_argtopk_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3660 test_argtopk_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3661 test_argtopk_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3662 test_argtopk_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3663 test_argtopk_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3664 test_argtopk_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3665 test_argtopk_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3666 test_argtopk_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3667 test_argtopk_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3668 test_argtopk_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3669 test_argtopk_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3670 test_argtopk_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3671 test_argtopk_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3672 test_argtopk_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3673 test_argtopk_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3674 test_argtopk_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3675 test_argtopk_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3676 test_argtopk_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3677 test_argtopk_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3678 test_argtopk_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3679 test_argtopk_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3680 test_argtopk_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3681 test_argtopk_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3682 test_combined_1d_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3683 test_combined_1d_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3684 test_combined_1d_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3685 test_combined_1d_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3686 test_combined_1d_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3687 test_combined_1d_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3688 test_combined_1d_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3689 test_combined_1d_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3690 test_combined_1d_08 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+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
#3691 test_combined_1d_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3692 test_combined_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3693 test_combined_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3694 test_combined_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3695 test_combined_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3696 test_combined_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3697 test_combined_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3698 test_combined_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3699 test_combined_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3700 test_combined_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 25.309s
OK
82% done in 36.753s (failed: 0)
#3701 test_combined_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+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
#3702 test_combined_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3703 test_combined_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3704 test_combined_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3705 test_combined_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3706 test_combined_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3707 test_combined_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3708 test_combined_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3709 test_combined_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3710 test_combined_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3711 test_combined_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3712 test_combined_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3713 test_combined_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3714 test_combined_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3715 test_combined_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3716 test_combined_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3717 test_combined_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3718 test_combined_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3719 test_combined_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3720 test_combined_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3721 test_combined_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3722 test_combined_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3723 test_combined_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3724 test_combined_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3725 test_combined_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3726 test_combined_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3727 test_combined_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3728 test_combined_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3729 test_combined_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3730 test_combined_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3731 test_combined_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3732 test_combined_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3733 test_combined_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3734 test_combined_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3735 test_combined_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3736 test_combined_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3737 test_combined_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3738 test_combined_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3739 test_combined_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3740 test_combined_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3741 test_combined_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3742 test_combined_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3743 test_combined_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3744 test_combined_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3745 test_combined_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3746 test_combined_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3747 test_combined_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3748 test_combined_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3749 test_combined_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3750 test_combined_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3751 test_combined_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3752 test_combined_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3753 test_combined_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3754 test_combined_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3755 test_combined_sanity_000_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3756 test_combined_sanity_001_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3757 test_combined_sanity_002_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3758 test_combined_sanity_003_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3759 test_combined_sanity_004_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3760 test_combined_sanity_005_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3761 test_combined_sanity_006_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3762 test_combined_sanity_007_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3763 test_combined_sanity_008_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3764 test_combined_sanity_009_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3765 test_combined_sanity_010_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3766 test_combined_sanity_011_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3767 test_combined_sanity_012_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3768 test_combined_sanity_013_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3769 test_combined_sanity_014_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3770 test_combined_sanity_015_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3771 test_combined_sanity_016_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3772 test_combined_sanity_017_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3773 test_combined_sanity_018_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3774 test_combined_sanity_019_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3775 test_combined_sanity_020_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3776 test_combined_sanity_021_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3777 test_combined_sanity_022_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3778 test_combined_sanity_023_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3779 test_combined_sanity_024_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3780 test_combined_sanity_025_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3781 test_combined_sanity_026_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3782 test_combined_sanity_027_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3783 test_combined_sanity_028_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3784 test_combined_sanity_029_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3785 test_combined_sanity_030_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3786 test_combined_sanity_031_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3787 test_combined_sanity_032_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3788 test_combined_sanity_033_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3789 test_combined_sanity_034_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3790 test_combined_sanity_035_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3791 test_combined_sanity_036_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3792 test_combined_sanity_037_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3793 test_combined_sanity_038_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3794 test_combined_sanity_039_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3795 test_combined_sanity_040_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3796 test_combined_sanity_041_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3797 test_combined_sanity_042_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3798 test_combined_sanity_043_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3799 test_combined_sanity_044_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3800 test_combined_sanity_045_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 24.966s
OK
84% done in 36.512s (failed: 0)
#3801 test_combined_sanity_046_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3802 test_combined_sanity_047_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3803 test_combined_sanity_048_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3804 test_combined_sanity_049_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3805 test_combined_sanity_050_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3806 test_combined_sanity_051_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3807 test_combined_sanity_052_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3808 test_combined_sanity_053_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3809 test_combined_sanity_054_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3810 test_combined_sanity_055_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3811 test_combined_sanity_056_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3812 test_combined_sanity_057_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3813 test_combined_sanity_058_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3814 test_combined_sanity_059_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3815 test_combined_sanity_060_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3816 test_combined_sanity_061_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3817 test_combined_sanity_062_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3818 test_combined_sanity_063_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3819 test_combined_sanity_064_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3820 test_combined_sanity_065_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3821 test_combined_sanity_066_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3822 test_combined_sanity_067_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3823 test_combined_sanity_068_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3824 test_combined_sanity_069_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3825 test_combined_sanity_070_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3826 test_combined_sanity_071_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3827 test_combined_sanity_072_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3828 test_combined_sanity_073_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3829 test_combined_sanity_074_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3830 test_combined_sanity_075_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3831 test_combined_sanity_076_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3832 test_combined_sanity_077_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3833 test_combined_sanity_078_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3834 test_combined_sanity_079_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3835 test_combined_sanity_080_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3836 test_combined_sanity_081_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3837 test_combined_sanity_082_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3838 test_combined_sanity_083_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3839 test_combined_sanity_084_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3840 test_combined_sanity_085_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3841 test_combined_sanity_086_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3842 test_combined_sanity_087_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3843 test_combined_sanity_088_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3844 test_combined_sanity_089_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3845 test_combined_sanity_090_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3846 test_combined_sanity_091_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3847 test_combined_sanity_092_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3848 test_combined_sanity_093_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3849 test_combined_sanity_094_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3850 test_combined_sanity_095_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3851 test_combined_sanity_096_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3852 test_combined_sanity_097_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3853 test_combined_sanity_098_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3854 test_combined_sanity_099_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3855 test_combined_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3856 test_combined_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3857 test_combined_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3858 test_combined_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3859 test_combined_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3860 test_combined_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3861 test_combined_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3862 test_combined_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3863 test_combined_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3864 test_combined_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3865 test_combined_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3866 test_combined_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3867 test_combined_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3868 test_combined_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3869 test_combined_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3870 test_combined_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3871 test_combined_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3872 test_combined_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3873 test_combined_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3874 test_combined_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3875 test_combined_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3876 test_combined_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3877 test_combined_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3878 test_combined_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3879 test_combined_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3880 test_combined_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3881 test_combined_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3882 test_combined_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3883 test_combined_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3884 test_combined_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3885 test_combined_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3886 test_combined_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3887 test_combined_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3888 test_combined_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3889 test_combined_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3890 test_combined_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3891 test_combined_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3892 test_combined_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3893 test_combined_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3894 test_combined_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3895 test_combined_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3896 test_combined_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3897 test_combined_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3898 test_combined_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3899 test_combined_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3900 test_combined_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 25.975s
OK
87% done in 37.634s (failed: 0)
#3901 test_combined_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3902 test_combined_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3903 test_combined_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3904 test_combined_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3905 test_combined_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3906 test_combined_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3907 test_combined_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3908 test_combined_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3909 test_combined_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3910 test_combined_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3911 test_combined_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3912 test_combined_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3913 test_combined_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3914 test_combined_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3915 test_combined_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3916 test_combined_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3917 test_combined_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3918 test_combined_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3919 test_combined_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3920 test_combined_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3921 test_combined_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3922 test_combined_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3923 test_combined_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3924 test_combined_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3925 test_combined_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3926 test_combined_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3927 test_combined_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3928 test_combined_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3929 test_combined_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3930 test_combined_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3931 test_combined_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3932 test_combined_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3933 test_combined_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3934 test_combined_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3935 test_combined_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3936 test_combined_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3937 test_combined_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3938 test_combined_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3939 test_combined_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3940 test_combined_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3941 test_combined_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3942 test_combined_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3943 test_combined_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3944 test_combined_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3945 test_combined_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3946 test_combined_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3947 test_combined_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3948 test_combined_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3949 test_combined_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3950 test_combined_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3951 test_combined_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3952 test_combined_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3953 test_combined_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3954 test_combined_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3955 test_combined_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3956 test_combined_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3957 test_combined_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3958 test_combined_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3959 test_combined_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3960 test_combined_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3961 test_combined_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3962 test_combined_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3963 test_combined_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3964 test_combined_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3965 test_combined_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3966 test_combined_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3967 test_combined_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3968 test_combined_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3969 test_combined_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3970 test_combined_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3971 test_combined_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3972 test_combined_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3973 test_combined_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3974 test_combined_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3975 test_combined_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3976 test_combined_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3977 test_combined_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3978 test_combined_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3979 test_combined_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3980 test_combined_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3981 test_combined_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3982 test_combined_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3983 test_combined_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3984 test_combined_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3985 test_combined_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3986 test_combined_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3987 test_combined_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3988 test_combined_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3989 test_combined_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3990 test_combined_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3991 test_combined_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3992 test_combined_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3993 test_combined_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3994 test_combined_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3995 test_combined_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3996 test_combined_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3997 test_combined_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3998 test_combined_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#3999 test_combined_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4000 test_combined_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 25.129s
OK
89% done in 36.552s (failed: 0)
#4001 test_combined_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4002 test_combined_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4003 test_combined_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4004 test_combined_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4005 test_combined_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4006 test_combined_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4007 test_combined_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4008 test_combined_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4009 test_combined_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4010 test_combined_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4011 test_combined_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4012 test_combined_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4013 test_combined_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4014 test_combined_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4015 test_combined_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4016 test_combined_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4017 test_combined_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4018 test_combined_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4019 test_grad_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4020 test_grad_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4021 test_grad_02 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:282: 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]
/<<BUILDDIR>>/theano-1.0.4+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
#4022 test_grad_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4023 test_grad_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4024 test_grad_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4025 test_grad_06 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+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
#4026 test_grad_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4027 test_grad_08 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:282: 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]
/<<BUILDDIR>>/theano-1.0.4+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
#4028 test_grad_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4029 test_grad_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4030 test_grad_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4031 test_grad_12 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+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
#4032 test_grad_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4033 test_grad_14 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:282: 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]
/<<BUILDDIR>>/theano-1.0.4+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
#4034 test_grad_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4035 test_grad_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4036 test_grad_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4037 test_grad_18 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+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
#4038 test_grad_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4039 test_grad_20 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:282: 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]
/<<BUILDDIR>>/theano-1.0.4+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
#4040 test_grad_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4041 test_grad_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4042 test_grad_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4043 test_topk_1d_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4044 test_topk_1d_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4045 test_topk_1d_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4046 test_topk_1d_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4047 test_topk_1d_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4048 test_topk_1d_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4049 test_topk_1d_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4050 test_topk_1d_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4051 test_topk_1d_08 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4052 test_topk_1d_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4053 test_topk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4054 test_topk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4055 test_topk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4056 test_topk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4057 test_topk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4058 test_topk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4059 test_topk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4060 test_topk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4061 test_topk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4062 test_topk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4063 test_topk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4064 test_topk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4065 test_topk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4066 test_topk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4067 test_topk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4068 test_topk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4069 test_topk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4070 test_topk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4071 test_topk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4072 test_topk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4073 test_topk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4074 test_topk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4075 test_topk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4076 test_topk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4077 test_topk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4078 test_topk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4079 test_topk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4080 test_topk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4081 test_topk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4082 test_topk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4083 test_topk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4084 test_topk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4085 test_topk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4086 test_topk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4087 test_topk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4088 test_topk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4089 test_topk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4090 test_topk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4091 test_topk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4092 test_topk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4093 test_topk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4094 test_topk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4095 test_topk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4096 test_topk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4097 test_topk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4098 test_topk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4099 test_topk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4100 test_topk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok
----------------------------------------------------------------------
Ran 100 tests in 239.090s
OK
91% done in 250.967s (failed: 0)
#4101 test_topk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4102 test_topk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4103 test_topk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4104 test_topk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4105 test_topk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4106 test_topk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4107 test_topk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... /<<BUILDDIR>>/theano-1.0.4+dfsg/theano/tensor/sort.py:282: 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
#4108 test_topk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4109 test_topk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4110 test_topk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4111 test_topk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4112 test_topk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4113 test_topk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4114 test_topk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4115 test_topk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4116 test_topk_1d_73 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4117 test_topk_1d_74 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4118 test_topk_1d_75 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4119 test_topk_1d_76 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4120 test_topk_1d_77 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4121 test_topk_1d_78 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4122 test_topk_1d_79 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4123 test_topk_1d_80 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4124 test_topk_1d_81 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4125 test_topk_1d_82 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4126 test_topk_1d_83 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4127 test_topk_1d_84 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4128 test_topk_sanity_00_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4129 test_topk_sanity_01_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4130 test_topk_sanity_02_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4131 test_topk_sanity_03_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4132 test_topk_sanity_04_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4133 test_topk_sanity_05_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4134 test_topk_sanity_06_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4135 test_topk_sanity_07_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4136 test_topk_sanity_08_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4137 test_topk_sanity_09_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4138 test_topk_sanity_10_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4139 test_topk_sanity_11_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4140 test_topk_sanity_12_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4141 test_topk_sanity_13_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4142 test_topk_sanity_14_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4143 test_topk_sanity_15_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4144 test_topk_sanity_16_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4145 test_topk_sanity_17_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4146 test_topk_sanity_18_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4147 test_topk_sanity_19_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4148 test_topk_sanity_20_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4149 test_topk_sanity_21_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4150 test_topk_sanity_22_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4151 test_topk_sanity_23_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4152 test_topk_sanity_24_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4153 test_topk_sanity_25_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4154 test_topk_sanity_26_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4155 test_topk_sanity_27_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4156 test_topk_sanity_28_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4157 test_topk_sanity_29_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4158 test_topk_sanity_30_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4159 test_topk_sanity_31_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4160 test_topk_sanity_32_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok
#4161 test1 (theano.tensor.tests.test_sort.Test_sort) ... ok
#4162 test2 (theano.tensor.tests.test_sort.Test_sort) ... ok
#4163 test3 (theano.tensor.tests.test_sort.Test_sort) ... ok
#4164 test4 (theano.tensor.tests.test_sort.Test_sort) ... ok
#4165 test5 (theano.tensor.tests.test_sort.Test_sort) ... ok
#4166 test_None (theano.tensor.tests.test_sort.Test_sort) ... ok
#4167 test_grad_negative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /<<BUILDDIR>>/theano-1.0.4+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
#4168 test_grad_negative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... /<<BUILDDIR>>/theano-1.0.4+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
#4169 test_grad_negative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... /<<BUILDDIR>>/theano-1.0.4+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
#4170 test_grad_none_axis (theano.tensor.tests.test_sort.Test_sort) ... ok
#4171 test_grad_nonnegative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /<<BUILDDIR>>/theano-1.0.4+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
#4172 test_grad_nonnegative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... ok
#4173 test_grad_nonnegative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... ok
#4174 test_grad_vector (theano.tensor.tests.test_sort.Test_sort) ... ok
#4175 test_combined_infer_shape_00 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4176 test_combined_infer_shape_01 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<<BUILDDIR>>/theano-1.0.4+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
#4177 test_combined_infer_shape_02 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4178 test_combined_infer_shape_03 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4179 test_combined_infer_shape_04 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4180 test_combined_infer_shape_05 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4181 test_combined_infer_shape_06 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4182 test_combined_infer_shape_07 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4183 test_combined_infer_shape_08 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4184 test_combined_infer_shape_09 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4185 test_combined_infer_shape_10 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4186 test_combined_infer_shape_11 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4187 test_combined_infer_shape_12 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4188 test_combined_infer_shape_13 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<<BUILDDIR>>/theano-1.0.4+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
#4189 test_combined_infer_shape_14 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4190 test_combined_infer_shape_15 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4191 test_combined_infer_shape_16 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4192 test_combined_infer_shape_17 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<<BUILDDIR>>/theano-1.0.4+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
#4193 test_combined_infer_shape_18 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4194 test_combined_infer_shape_19 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok
#4195 theano.tensor.tests.test_sort.test_argsort ... ok
#4196 theano.tensor.tests.test_sort.test_argsort_grad ... ok
#4197 test0_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4198 test1_0_dims (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4199 test1_err_bounds (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4200 test1_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
----------------------------------------------------------------------
Ran 100 tests in 188.974s
OK
93% done in 201.377s (failed: 0)
#4201 test1_err_subslice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4202 test1_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4203 test1_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4204 test1_ok_range_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4205 test1_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4206 test2_err_bounds0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4207 test2_err_bounds1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4208 test2_ok_col (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4209 test2_ok_cols_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4210 test2_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4211 test2_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4212 test2_ok_row (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4213 test2_ok_rows_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4214 test2_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4215 test3_ok_mat (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4216 test_adv1_inc_sub_notlastdim (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4217 test_adv1_inc_sub_notlastdim_1_2dval_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4218 test_adv1_inc_sub_notlastdim_1_2dval_no_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4219 test_adv1_inc_sub_notlastdim_2didx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4220 test_adv_constant_arg (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4221 test_adv_sub1_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4222 test_adv_sub1_idx_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4223 test_advanced1_inc_and_set (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4224 test_boolean (theano.tensor.tests.test_subtensor.T_subtensor) ... /<<BUILDDIR>>/theano-1.0.4+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:])
/<<BUILDDIR>>/theano-1.0.4+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:])
/<<BUILDDIR>>/theano-1.0.4+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:])
/<<BUILDDIR>>/theano-1.0.4+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
#4225 test_ellipsis (theano.tensor.tests.test_subtensor.T_subtensor) ... /<<BUILDDIR>>/theano-1.0.4+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
#4226 test_err_bound_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4227 test_err_invalid_2list_dtype (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4228 test_err_invalid_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4229 test_grad_0d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4230 test_grad_1d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4231 test_grad_2d_inc_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4232 test_grad_advanced_inc_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4233 test_grad_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4234 test_inc_and_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4235 test_list_slice (theano.tensor.tests.test_subtensor.T_subtensor) ... /<<BUILDDIR>>/theano-1.0.4+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
#4236 test_long (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4237 test_long_too_big (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4238 test_newaxis (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4239 test_noncontiguous_idx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4240 test_ok_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4241 test_shape_i_const (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4242 test_shape_i_scalar (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4243 test_shape_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4244 test_slice_canonical_form_0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4245 test_slice_canonical_form_1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4246 test_slice_canonical_form_2 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4247 test_slice_canonical_form_3 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4248 test_slice_canonical_form_4 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4249 test_slice_canonical_form_5 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4250 test_slice_canonical_form_6 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4251 test_slice_symbol (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4252 test_take (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4253 test_wrong_exception_regression (theano.tensor.tests.test_subtensor.T_subtensor) ... ok
#4254 test_adv_grouped (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /<<BUILDDIR>>/theano-1.0.4+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
#4255 test_adv_sub_3d (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4256 test_adv_sub_slice (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4257 test_adv_subtensor_w_int_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4258 test_adv_subtensor_w_matrix_and_int (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4259 test_adv_subtensor_w_matrix_and_none (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4260 test_adv_subtensor_w_none_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4261 test_adv_subtensor_w_slice_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4262 test_advanced_indexing (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /<<BUILDDIR>>/theano-1.0.4+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
#4263 test_advinc_subtensor (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4264 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4265 test_grad (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /<<BUILDDIR>>/theano-1.0.4+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
#4266 test_inc_adv_subtensor1_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4267 test_inc_adv_subtensor_w_2vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4268 test_inc_adv_subtensor_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4269 test_inc_adv_subtensor_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4270 test_inc_adv_subtensor_with_index_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4271 test_index_into_mat_w_row (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4272 test_index_into_vec_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4273 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4274 test_index_w_int_and_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok
#4275 test_1d_inc_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4276 test_1d_inc_adv_selection_w_broadcasting (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4277 test_1d_set_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4278 test_assigning_matrix_to_vector_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4279 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4280 test_inc_bcastableidx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4281 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4282 test_matrix_idx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok
#4283 test_adv_sub (theano.tensor.tests.test_subtensor.TestInferShape) ... /<<BUILDDIR>>/theano-1.0.4+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
#4284 test_boolean (theano.tensor.tests.test_subtensor.TestInferShape) ... ok
#4285 test_infer_shape (theano.tensor.tests.test_subtensor.TestInferShape) ... /<<BUILDDIR>>/theano-1.0.4+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
#4286 theano.tensor.tests.test_type_other.test_make_slice_merge ... ok
#4287 theano.tensor.tests.test_type_other.test_none_Constant ... ok
#4288 test_err (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok
#4289 test_simple (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok
#4290 test_subtensor (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok
#4291 theano.tensor.tests.test_utils.test_hash_from_ndarray ... ok
#4292 theano.tensor.tests.test_var.test_numpy_method ... ok
#4293 theano.tensor.tests.test_var.test_empty_list_indexing ... ok
#4294 theano.tensor.tests.test_var.test_copy ... ok
#4295 theano.tensor.tests.test_var.test_None_dimShuffle_replace ... ok
#4296 test0 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok
#4297 test1 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok
#4298 test2 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok
#4299 test3 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok
#4300 test_correct_answer (theano.typed_list.tests.test_basic.TestMakeList) ... ok
----------------------------------------------------------------------
Ran 100 tests in 610.656s
OK
95% done in 622.850s (failed: 0)
#4301 test_wrong_shape (theano.typed_list.tests.test_basic.TestMakeList) ... ok
#4302 test_inplace (theano.typed_list.tests.test_basic.test_append) ... ok
#4303 test_interfaces (theano.typed_list.tests.test_basic.test_append) ... ok
#4304 test_sanity_check (theano.typed_list.tests.test_basic.test_append) ... ok
#4305 test_interface (theano.typed_list.tests.test_basic.test_count) ... ok
#4306 test_non_tensor_type (theano.typed_list.tests.test_basic.test_count) ... ok
#4307 test_sanity_check (theano.typed_list.tests.test_basic.test_count) ... ok
#4308 test_sparse (theano.typed_list.tests.test_basic.test_count) ... ok
#4309 test_inplace (theano.typed_list.tests.test_basic.test_extend) ... ok
#4310 test_interface (theano.typed_list.tests.test_basic.test_extend) ... ok
#4311 test_sanity_check (theano.typed_list.tests.test_basic.test_extend) ... ok
#4312 test_constant_input (theano.typed_list.tests.test_basic.test_get_item) ... ok
#4313 test_interface (theano.typed_list.tests.test_basic.test_get_item) ... ok
#4314 test_sanity_check_single (theano.typed_list.tests.test_basic.test_get_item) ... ok
#4315 test_sanity_check_slice (theano.typed_list.tests.test_basic.test_get_item) ... ok
#4316 test_wrong_input (theano.typed_list.tests.test_basic.test_get_item) ... ok
#4317 test_interface (theano.typed_list.tests.test_basic.test_index) ... ok
#4318 test_non_tensor_type (theano.typed_list.tests.test_basic.test_index) ... ok
#4319 test_sanity_check (theano.typed_list.tests.test_basic.test_index) ... ok
#4320 test_sparse (theano.typed_list.tests.test_basic.test_index) ... ok
#4321 test_inplace (theano.typed_list.tests.test_basic.test_insert) ... ok
#4322 test_interface (theano.typed_list.tests.test_basic.test_insert) ... ok
#4323 test_sanity_check (theano.typed_list.tests.test_basic.test_insert) ... ok
#4324 test_interface (theano.typed_list.tests.test_basic.test_length) ... ok
#4325 test_sanity_check (theano.typed_list.tests.test_basic.test_length) ... ok
#4326 test_inplace (theano.typed_list.tests.test_basic.test_remove) ... ok
#4327 test_interface (theano.typed_list.tests.test_basic.test_remove) ... ok
#4328 test_sanity_check (theano.typed_list.tests.test_basic.test_remove) ... ok
#4329 test_inplace (theano.typed_list.tests.test_basic.test_reverse) ... ok
#4330 test_interface (theano.typed_list.tests.test_basic.test_reverse) ... ok
#4331 test_sanity_check (theano.typed_list.tests.test_basic.test_reverse) ... ok
#4332 test_append_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok
#4333 test_extend_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok
#4334 test_insert_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok
#4335 test_remove_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok
#4336 test_reverse_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok
#4337 theano.typed_list.tests.test_opt.test_constant_folding ... ok
#4338 test_basic_nested_list (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4339 test_comparison_different_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4340 test_comparison_uneven_nested (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4341 test_filter_sanity_check (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4342 test_get_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4343 test_intern_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4344 test_nested_list_arg (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4345 test_not_a_list_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4346 test_type_equality (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4347 test_variable_is_Typed_List_variable (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4348 test_wrong_input_on_creation (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4349 test_wrong_input_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok
#4350 test_scipy_paper_example1 (theano.tests.diverse_tests.T_scipy) ... ok
#4351 This just sees if things compile well and if they run ... ok
#4352 theano.tests.test_2nd_order_grads.test001_jacobian_vector ... ok
#4353 theano.tests.test_2nd_order_grads.test002_jacobian_matrix ... ok
#4354 theano.tests.test_2nd_order_grads.test003_jacobian_scalar ... ok
#4355 theano.tests.test_2nd_order_grads.test004_hessian ... ok
#4356 theano.tests.test_2nd_order_grads.test_jacobian_disconnected_inputs ... ok
#4357 test_connection_pattern (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok
#4358 test_fprop (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok
#4359 test_grad (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok
#4360 test_infer_shape (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok
#4361 test_invalid_default (theano.tests.test_config.T_config) ... ok
#4362 theano.tests.test_determinism.test_determinism_1 ... ok
#4363 test_composing_function (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4364 test_debug_mode_dict (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4365 test_debug_mode_list (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4366 test_input_named_variables (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4367 test_key_string_requirement (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4368 test_output_dictionary (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4369 test_output_list_still_works (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4370 test_output_order_sorted (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok
#4371 theano.tests.test_flake8.test_format_flake8 ... SKIP: flake8 is not installed
#4372 test_grad (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.8/unittest/case.py:633: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead.
method()
ok
#4373 test_op_removed (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.8/unittest/case.py:633: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead.
method()
ok
#4374 test_connection_pattern (theano.tests.test_gradient.TestDisconnectedGrad) ... ok
#4375 test_disconnected_paths (theano.tests.test_gradient.TestDisconnectedGrad) ... ok
#4376 test_grad (theano.tests.test_gradient.TestDisconnectedGrad) ... ok
#4377 test_op_removed (theano.tests.test_gradient.TestDisconnectedGrad) ... ok
#4378 test_grad (theano.tests.test_gradient.TestZeroGrad) ... ok
#4379 test_op_removed (theano.tests.test_gradient.TestZeroGrad) ... ok
#4380 test_rop (theano.tests.test_gradient.TestZeroGrad) ... ok
#4381 test_disconnected_nan (theano.tests.test_gradient.test_grad) ... ok
#4382 test_downcast_dtype (theano.tests.test_gradient.test_grad) ... ok
#4383 test_grad_constant (theano.tests.test_gradient.test_grad) ... ok
#4384 test_grad_cubic (theano.tests.test_gradient.test_grad) ... ok
#4385 test_grad_disconnected (theano.tests.test_gradient.test_grad) ... ok
#4386 test_grad_duplicate_input (theano.tests.test_gradient.test_grad) ... ok
#4387 test_grad_grad_cubic (theano.tests.test_gradient.test_grad) ... ok
#4388 test_grad_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok
#4389 test_grad_int (theano.tests.test_gradient.test_grad) ... ok
#4390 test_grad_name (theano.tests.test_gradient.test_grad) ... ok
#4391 test_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok
#4392 test_grad_quadratic_vector (theano.tests.test_gradient.test_grad) ... ok
#4393 test_undefined_grad_func (theano.tests.test_gradient.test_grad) ... ok
#4394 test_undefined_grad_grad (theano.tests.test_gradient.test_grad) ... ok
#4395 test_unimplemented_grad_func (theano.tests.test_gradient.test_grad) ... ok
#4396 test_unimplemented_grad_grad (theano.tests.test_gradient.test_grad) ... ok
#4397 test_1in_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok
#4398 test_1in_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok
#4399 test_Nin_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok
#4400 test_Nin_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok
----------------------------------------------------------------------
Ran 100 tests in 191.499s
OK (SKIP=1)
98% done in 203.012s (failed: 0)
#4401 test_retNone1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok
#4402 test_wrong_rval_len1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok
#4403 theano.tests.test_gradient.test_undefined_grad_opt ... ok
#4404 theano.tests.test_gradient.test_known_grads ... ok
#4405 theano.tests.test_gradient.test_dxdx ... ok
#4406 theano.tests.test_gradient.test_known_grads_integers ... ok
#4407 theano.tests.test_gradient.test_undefined_cost_grad ... ok
#4408 theano.tests.test_gradient.test_disconnected_cost_grad ... ok
#4409 theano.tests.test_gradient.test_subgraph_grad ... ok
#4410 theano.tests.test_gradient.test_grad_clip ... ok
#4411 theano.tests.test_gradient.test_grad_scale ... ok
#4412 test_broadcast_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok
#4413 test_dtype_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok
#4414 test_grad_cast_input (theano.tests.test_ifelse.test_ifelse) ... ok
#4415 test_grad_int_value (theano.tests.test_ifelse.test_ifelse) ... ok
#4416 test_grad_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok
#4417 test_grad_test_values (theano.tests.test_ifelse.test_ifelse) ... ok
#4418 test_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok
#4419 test_lazy_if_on_generics (theano.tests.test_ifelse.test_ifelse) ... ok
#4420 test_merge (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4421 test_merge_ifs_true_false (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4422 test_mixed_dtype (theano.tests.test_ifelse.test_ifelse) ... ok
#4423 test_multiple_out (theano.tests.test_ifelse.test_ifelse) ... ok
#4424 test_multiple_out_crash (theano.tests.test_ifelse.test_ifelse) ... ok
#4425 test_multiple_out_grad (theano.tests.test_ifelse.test_ifelse) ... ok
#4426 test_ndim_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok
#4427 test_not_lazy_if_inplace (theano.tests.test_ifelse.test_ifelse) ... ok
#4428 test_pushout1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4429 test_pushout2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4430 test_pushout3 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4431 test_remove_useless_inputs1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4432 test_remove_useless_inputs2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled
#4433 test_sparse_tensor_error (theano.tests.test_ifelse.test_ifelse) ... ok
#4434 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_with_reoptimization ... ok
#4435 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_without_reoptimization ... ok
#4436 theano.tests.test_printing.test_pydotprint_cond_highlight ... ok
#4437 theano.tests.test_printing.test_pydotprint_return_image ... ok
#4438 theano.tests.test_printing.test_pydotprint_long_name ... ok
#4439 theano.tests.test_printing.test_pydotprint_profile ... ok
#4440 theano.tests.test_printing.test_min_informative_str ... ok
#4441 theano.tests.test_printing.test_debugprint ... ok
#4442 theano.tests.test_printing.test_scan_debugprint1 ... ok
#4443 theano.tests.test_printing.test_scan_debugprint2 ... ok
#4444 theano.tests.test_printing.test_scan_debugprint3 ... ok
#4445 theano.tests.test_printing.test_scan_debugprint4 ... ok
#4446 theano.tests.test_printing.test_scan_debugprint5 ... ok
#4447 theano.tests.test_printing.test_printing_scan ... ok
#4448 theano.tests.test_printing.test_subtensor ... ok
#4449 theano.tests.test_record.test_record_good ... ok
#4450 theano.tests.test_record.test_record_bad ... ok
#4451 theano.tests.test_record.test_record_mode_good ... ok
#4452 theano.tests.test_record.test_record_mode_bad ... ok
#4453 test_Rop_dot_bug_18Oct2013_Jeremiah (theano.tests.test_rop.test_RopLop) ... ok
#4454 test_alloc (theano.tests.test_rop.test_RopLop) ... ok
#4455 test_argmax (theano.tests.test_rop.test_RopLop) ... ok
#4456 test_conv (theano.tests.test_rop.test_RopLop) ... /<<BUILDDIR>>/theano-1.0.4+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."
/<<BUILDDIR>>/theano-1.0.4+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
#4457 test_dimshuffle (theano.tests.test_rop.test_RopLop) ... ok
#4458 test_dot (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method.
#4459 test_downsample (theano.tests.test_rop.test_RopLop) ... ok
#4460 test_elemwise0 (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method.
#4461 test_elemwise1 (theano.tests.test_rop.test_RopLop) ... ok
#4462 test_flatten (theano.tests.test_rop.test_RopLop) ... ok
#4463 test_incsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok
#4464 test_incsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok
#4465 test_invalid_input (theano.tests.test_rop.test_RopLop) ... ok
#4466 test_join (theano.tests.test_rop.test_RopLop) ... ok
#4467 test_max (theano.tests.test_rop.test_RopLop) ... /<<BUILDDIR>>/theano-1.0.4+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:])
/<<BUILDDIR>>/theano-1.0.4+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
#4468 test_multiple_outputs (theano.tests.test_rop.test_RopLop) ... ok
#4469 test_print (theano.tests.test_rop.test_RopLop) ... ok
#4470 test_rebroadcast (theano.tests.test_rop.test_RopLop) ... ok
#4471 test_reshape (theano.tests.test_rop.test_RopLop) ... ok
#4472 test_setsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok
#4473 test_setsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok
#4474 test_shape (theano.tests.test_rop.test_RopLop) ... ok
#4475 test_softmax (theano.tests.test_rop.test_RopLop) ... /<<BUILDDIR>>/theano-1.0.4+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
#4476 test_specifyshape (theano.tests.test_rop.test_RopLop) ... ok
#4477 test_subtensor (theano.tests.test_rop.test_RopLop) ... ok
#4478 test_sum (theano.tests.test_rop.test_RopLop) ... ok
#4479 test_updates_add (theano.tests.test_updates.test_ifelse) ... ok
#4480 test_updates_init (theano.tests.test_updates.test_ifelse) ... ok
#4481 test_updates_setitem (theano.tests.test_updates.test_ifelse) ... ok
----------------------------------------------------------------------
Ran 81 tests in 494.861s
OK (SKIP=9)
100% done in 506.373s (failed: 0)
####################
# ALL TESTS PASSED #
####################
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
create-stamp debian/debhelper-build-stamp
dh_testroot -a -O--buildsystem=pybuild
dh_prep -a -O--buildsystem=pybuild
debian/rules override_dh_auto_install
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_auto_install
I: pybuild base:217: /usr/bin/python3 setup.py install --root /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano --install-scripts=/usr/share/python3-theano
running install
running build
running build_py
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin
copying bin/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin
copying bin/theano_cache.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin
copying bin/theano_nose.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/_version.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/configparser.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/gradient.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/ifelse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/pathparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/printing.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/raise_op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/updates.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/version.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
copying theano/configdefaults.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compat
copying theano/compat/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compat
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/builders.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/debugmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/function.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/function_module.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/io.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/monitormode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/nanguardmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/pfunc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/profiling.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/sharedvalue.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
copying theano/compile/mode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz
copying theano/d3viz/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz
copying theano/d3viz/d3viz.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz
copying theano/d3viz/formatting.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/callcache.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/cc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/cmodule.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/compiledir.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/compilelock.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/cutils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/destroyhandler.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/fg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/graph.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/lazylinker_c.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/link.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/null_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/optdb.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/params_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/sched.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/toolbox.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/unify.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/vm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
copying theano/gof/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/basic_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/cudnn_defs.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/dnn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/fp16_help.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/kernel_codegen.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/linalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/nerv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/opt_util.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/reduction.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
copying theano/gpuarray/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/buildbot_filter.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/burn_gpu.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/check_blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/check_duplicate_key.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/check_multi_gpu.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/cpucount.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/doubleop.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/elemwise_openmp_speedup.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/elemwise_time_test.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/frozendict.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/gh_api.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/latence_gpu_transfert.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/may_share_memory.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/ordered_set.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/pkl_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/safe_asarray.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/strutil.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/misc/windows.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/fourier.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/minimal.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/softsign.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
copying theano/sandbox/solve.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar
copying theano/scalar/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar
copying theano/scalar/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar
copying theano/scalar/basic_scipy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar
copying theano/scalar/basic_sympy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar
copying theano/scalar/sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan_checkpoints.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan_op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan_perform_ext.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
copying theano/scan_module/scan_views.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
copying theano/sparse/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
copying theano/sparse/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
copying theano/sparse/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
copying theano/sparse/sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
copying theano/sparse/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
copying theano/sparse/utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/blas_c.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/blas_headers.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/blas_scipy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/elemwise_cgen.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/fourier.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/inc_code.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/inplace.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/io.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/nlinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/opt_uncanonicalize.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/raw_random.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/shared_randomstreams.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/slinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/type_other.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/xlogx.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
copying theano/tensor/var.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/breakpoint.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/disturb_mem.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/diverse_tests.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/main.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/record.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_2nd_order_grads.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_breakpoint.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_config.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_dictionary_output.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_flake8.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_gradient.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_ifelse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_pickle_unpickle_theano_fn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_printing.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_record.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_rop.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_updates.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/unittest_tools.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/test_determinism.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
copying theano/tests/run_tests_in_batch.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list
copying theano/typed_list/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list
copying theano/typed_list/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list
copying theano/typed_list/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list
copying theano/typed_list/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/sandbox
copying theano/compile/sandbox/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_builders.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_debugmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_function.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_function_module.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_function_name.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_misc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_mode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_modes.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_monitormode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_nanguardmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_pfunc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_profiling.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
copying theano/compile/tests/test_shared.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests
copying theano/d3viz/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests
copying theano/d3viz/tests/models.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests
copying theano/d3viz/tests/test_d3viz.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests
copying theano/d3viz/tests/test_formatting.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_cc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_cmodule.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_compiledir.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_destroyhandler.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_fg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_graph.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_graph_opt_caching.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_lazy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_optdb.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_params_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_sched.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_toolbox.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_types.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_vm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_link.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
copying theano/gof/tests/test_compute_test_value.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/check_dnn_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/config.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/rnn_support.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/run_dnn_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_abstractconv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_basic_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_cgpukernelbase.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_dnn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_gemmcorr.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_gemmcorr3d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_linalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_misc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_others.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_pickle.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_reduction.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_scan.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests
copying theano/misc/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests
copying theano/misc/tests/test_may_share_memory.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests
copying theano/misc/tests/test_pkl_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/cuda
copying theano/sandbox/cuda/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/cuda
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg
copying theano/sandbox/linalg/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg
copying theano/sandbox/linalg/ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
copying theano/sandbox/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
copying theano/sandbox/tests/test_multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
copying theano/sandbox/tests/test_rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests
copying theano/scalar/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests
copying theano/scalar/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests
copying theano/scalar/tests/test_basic_sympy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests
copying theano/scalar/tests/test_div_future.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests
copying theano/scalar/tests/test_div_no_future.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests
copying theano/scan_module/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests
copying theano/scan_module/tests/test_scan.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests
copying theano/scan_module/tests/test_scan_checkpoints.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests
copying theano/scan_module/tests/test_scan_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests
copying theano/scan_module/tests/test_scan_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox
copying theano/sparse/sandbox/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox
copying theano/sparse/sandbox/sp.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox
copying theano/sparse/sandbox/sp2.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox
copying theano/sparse/sandbox/test_sp.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox
copying theano/sparse/sandbox/truedot.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
copying theano/sparse/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
copying theano/sparse/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
copying theano/sparse/tests/test_sp2.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
copying theano/sparse/tests/test_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
copying theano/sparse/tests/test_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
copying theano/sparse/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/abstract_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/conv3d2d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/corr.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/corr3d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/sigm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
copying theano/tensor/nnet/bn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal
copying theano/tensor/signal/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal
copying theano/tensor/signal/conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal
copying theano/tensor/signal/pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/_test_mpi_roundtrip.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/mlp_test.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_blas_c.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_blas_scipy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_casting.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_complex.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_fourier.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_gc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_inc_subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_io.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_keepdims.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_merge.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_misc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_mpi.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_nlinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_opt_uncanonicalize.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_slinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_type_other.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_var.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_xlogx.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_raw_random.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
copying theano/tensor/tests/test_shared_randomstreams.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests
copying theano/typed_list/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests
copying theano/typed_list/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests
copying theano/typed_list/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests
copying theano/typed_list/tests/test_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/tests
copying theano/sandbox/linalg/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/tests
copying theano/sandbox/linalg/tests/test_linalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/speed_test_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_abstract_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_bn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_conv3d2d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_corr.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_corr3d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_sigm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
copying theano/tensor/nnet/tests/test_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests
copying theano/tensor/signal/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests
copying theano/tensor/signal/tests/test_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests
copying theano/tensor/signal/tests/test_pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/html
copying theano/d3viz/html/template.html -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/html
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/css
copying theano/d3viz/css/d3-context-menu.css -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/css
copying theano/d3viz/css/d3viz.css -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/css
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js
copying theano/d3viz/js/d3-context-menu.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js
copying theano/d3viz/js/d3viz.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js
copying theano/d3viz/js/graphlib-dot.min.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js
copying theano/d3viz/js/dagre-d3.min.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js
copying theano/d3viz/js/d3.v3.min.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/c_code
copying theano/gof/c_code/lazylinker_c.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/c_code
copying theano/gof/c_code/theano_mod_helper.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/blockgemv.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/blockger.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/conv_desc.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/corr3d_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/corr_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/ctc_wrapper.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/cudnn_helper.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dimshuffle.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_base.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_batchnorm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_batchnorm_base.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_conv_base.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_dropout_desc.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_dropout_fwd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_fwd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_gi.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_gw.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_pool.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_pool_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_redux.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_rnn_desc.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_rnn_fwd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_rnn_gi.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_rnn_gw.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_softmax.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_softmax_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_sptf_gi.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_sptf_grid.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_sptf_gt.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/dnn_sptf_sampler.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/gpuarray_helper.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/magma_cholesky.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/magma_eigh.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/magma_inv.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/magma_qr.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/magma_svd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/pool.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/pool_ave_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/pool_grad_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/pool_max_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/pool_max_rop.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/topk_common.cuh -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/topk_dense.cu -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/gpuarray/c_code/topk_dense_large.cu -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code
copying theano/misc/check_blas_many.sh -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc
copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/c_code
copying theano/scalar/c_code/gamma.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/c_code
copying theano/scan_module/c_code/scan_perform.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code
copying theano/tensor/c_code/alt_blas_common.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code
copying theano/tensor/c_code/alt_blas_template.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code
copying theano/tensor/c_code/dimshuffle.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code
copying theano/gof/tests/test_fg_old_crash.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/c_code
copying theano/gof/tests/c_code/test_cenum.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/c_code
copying theano/gof/tests/c_code/test_quadratic_function.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/c_code
copying theano/gpuarray/tests/GpuArray.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
copying theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/c_code
copying theano/gpuarray/tests/c_code/tstgpueye.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/c_code
copying theano/sandbox/tests/multinomial_test_graph.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
copying theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code
copying theano/tensor/nnet/c_code/corr3d_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code
copying theano/tensor/nnet/c_code/corr_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code
copying theano/tensor/nnet/c_code/ctc_wrapper.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code
copying theano/tensor/signal/tests/old_pool_interface.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests
UPDATING /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/_version.py
set /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/_version.py to '1.0.4'
running install_lib
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin/theano_cache.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/bin/theano_nose.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/configparser.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gradient.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/ifelse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/pathparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/printing.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/raise_op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/updates.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/version.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/configdefaults.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compat
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compat/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compat
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/builders.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/debugmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/function.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/function_module.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/io.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/monitormode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/nanguardmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/pfunc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/profiling.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/sharedvalue.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/mode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/sandbox/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_builders.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_debugmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_function.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_function_module.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_function_name.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_misc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_mode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_modes.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_monitormode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_nanguardmode.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_pfunc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_profiling.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/compile/tests/test_shared.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/d3viz.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/formatting.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests/models.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests/test_d3viz.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/tests/test_formatting.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/html
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/html/template.html -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/html
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/css
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/css/d3-context-menu.css -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/css
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/css/d3viz.css -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/css
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/js
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js/d3-context-menu.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/js
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js/d3viz.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/js
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js/graphlib-dot.min.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/js
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js/dagre-d3.min.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/js
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/d3viz/js/d3.v3.min.js -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/js
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/callcache.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/cc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/cmodule.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/compiledir.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/compilelock.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/cutils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/destroyhandler.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/fg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/graph.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/lazylinker_c.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/link.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/null_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/optdb.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/params_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/sched.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/toolbox.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/unify.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/vm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_cc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_cmodule.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_compiledir.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_destroyhandler.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_fg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_graph.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_graph_opt_caching.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_lazy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_optdb.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_params_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_sched.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_toolbox.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_types.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_vm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_link.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_compute_test_value.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/test_fg_old_crash.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/c_code/test_cenum.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/tests/c_code/test_quadratic_function.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/c_code/lazylinker_c.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gof/c_code/theano_mod_helper.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/basic_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/cudnn_defs.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/dnn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/fp16_help.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/kernel_codegen.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/linalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/nerv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/opt_util.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/reduction.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/check_dnn_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/config.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/rnn_support.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/run_dnn_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_abstractconv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_basic_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_cgpukernelbase.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_dnn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_gemmcorr.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_gemmcorr3d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_linalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_misc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_others.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_pickle.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_reduction.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_scan.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/GpuArray.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/tests/c_code/tstgpueye.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/blockgemv.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/blockger.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/conv_desc.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/corr3d_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/corr_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/ctc_wrapper.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/cudnn_helper.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dimshuffle.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_base.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_batchnorm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_batchnorm_base.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_conv_base.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_dropout_desc.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_dropout_fwd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_fwd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_gi.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_gw.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_pool.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_pool_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_redux.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_rnn_desc.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_rnn_fwd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_rnn_gi.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_rnn_gw.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_softmax.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_softmax_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_sptf_gi.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_sptf_grid.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_sptf_gt.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/dnn_sptf_sampler.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/gpuarray_helper.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/magma_cholesky.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/magma_eigh.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/magma_inv.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/magma_qr.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/magma_svd.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/pool.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/pool_ave_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/pool_grad_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/pool_max_grad.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/pool_max_rop.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/topk_common.cuh -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/topk_dense.cu -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/gpuarray/c_code/topk_dense_large.cu -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/buildbot_filter.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/burn_gpu.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/check_blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/check_duplicate_key.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/check_multi_gpu.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/cpucount.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/doubleop.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/elemwise_openmp_speedup.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/elemwise_time_test.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/frozendict.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/gh_api.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/latence_gpu_transfert.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/may_share_memory.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/ordered_set.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/pkl_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/safe_asarray.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/strutil.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/windows.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests/test_may_share_memory.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/tests/test_pkl_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/misc/check_blas_many.sh -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/fourier.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/minimal.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/softsign.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/solve.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/cuda
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/cuda/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/cuda
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/linalg/tests/test_linalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests/test_multinomial.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests/test_rng_mrg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests/multinomial_test_graph.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/basic_scipy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/basic_sympy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests/test_basic_sympy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests/test_div_future.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/tests/test_div_no_future.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scalar/c_code/gamma.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan_checkpoints.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan_op.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan_perform_ext.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/scan_views.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests/test_scan.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests/test_scan_checkpoints.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests/test_scan_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/tests/test_scan_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/scan_module/c_code/scan_perform.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox/sp.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox/sp2.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox/test_sp.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/sandbox/truedot.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests/test_sp2.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests/test_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests/test_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/sparse/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/blas_c.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/blas_headers.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/blas_scipy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/elemwise_cgen.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/fourier.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/inc_code.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/inplace.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/io.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nlinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/opt_uncanonicalize.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/raw_random.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/shared_randomstreams.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/slinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/type_other.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/xlogx.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/var.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/abstract_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/conv3d2d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/corr.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/corr3d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/sigm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/bn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/speed_test_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_abstract_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_blocksparse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_bn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_conv3d2d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_corr.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_corr3d.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_ctc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_neighbours.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_nnet.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_sigm.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/tests/test_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code/corr3d_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code/corr_gemm.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/nnet/c_code/ctc_wrapper.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests/test_conv.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests/test_pool.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/signal/tests/old_pool_interface.pkl -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/_test_mpi_roundtrip.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/mlp_test.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_blas.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_blas_c.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_blas_scipy.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_casting.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_complex.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_elemwise.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_extra_ops.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_fft.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_fourier.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_gc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_inc_subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_io.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_keepdims.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_merge.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_misc.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_mpi.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_nlinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_opt_uncanonicalize.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_sharedvar.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_slinalg.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_sort.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_subtensor.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_type_other.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_utils.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_var.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_xlogx.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_raw_random.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/tests/test_shared_randomstreams.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code/alt_blas_common.h -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code/alt_blas_template.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/c_code
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tensor/c_code/dimshuffle.c -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/c_code
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/breakpoint.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/disturb_mem.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/diverse_tests.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/main.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/record.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_2nd_order_grads.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_breakpoint.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_config.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_dictionary_output.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_flake8.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_gradient.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_ifelse.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_pickle_unpickle_theano_fn.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_printing.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_record.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_rop.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_updates.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/unittest_tools.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/test_determinism.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/tests/run_tests_in_batch.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list
creating /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests/__init__.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests/test_basic.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests/test_opt.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/typed_list/tests/test_type.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests
copying /<<BUILDDIR>>/theano-1.0.4+dfsg/.pybuild/cpython3_3.8_theano/build/theano/_version.py -> /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin/theano_cache.py to theano_cache.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/bin/theano_nose.py to theano_nose.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/configparser.py to configparser.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gradient.py to gradient.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/ifelse.py to ifelse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/pathparse.py to pathparse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/printing.py to printing.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/raise_op.py to raise_op.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/updates.py to updates.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/version.py to version.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/configdefaults.py to configdefaults.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compat/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/builders.py to builders.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/debugmode.py to debugmode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/function.py to function.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/function_module.py to function_module.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/io.py to io.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/monitormode.py to monitormode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/nanguardmode.py to nanguardmode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/ops.py to ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/pfunc.py to pfunc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/profiling.py to profiling.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/sharedvalue.py to sharedvalue.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/mode.py to mode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/sandbox/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_builders.py to test_builders.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_debugmode.py to test_debugmode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_function.py to test_function.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_function_module.py to test_function_module.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_function_name.py to test_function_name.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_misc.py to test_misc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_mode.py to test_mode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_modes.py to test_modes.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_monitormode.py to test_monitormode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_nanguardmode.py to test_nanguardmode.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_ops.py to test_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_pfunc.py to test_pfunc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_profiling.py to test_profiling.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/compile/tests/test_shared.py to test_shared.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/d3viz.py to d3viz.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/formatting.py to formatting.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests/models.py to models.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests/test_d3viz.py to test_d3viz.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/d3viz/tests/test_formatting.py to test_formatting.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/callcache.py to callcache.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/cc.py to cc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/cmodule.py to cmodule.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/compiledir.py to compiledir.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/compilelock.py to compilelock.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/cutils.py to cutils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/destroyhandler.py to destroyhandler.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/fg.py to fg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/graph.py to graph.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/lazylinker_c.py to lazylinker_c.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/link.py to link.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/null_type.py to null_type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/optdb.py to optdb.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/params_type.py to params_type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/sched.py to sched.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/toolbox.py to toolbox.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/type.py to type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/unify.py to unify.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/utils.py to utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/vm.py to vm.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/op.py to op.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/opt.py to opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_cc.py to test_cc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_cmodule.py to test_cmodule.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_compiledir.py to test_compiledir.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_fg.py to test_fg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_graph.py to test_graph.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_graph_opt_caching.py to test_graph_opt_caching.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_lazy.py to test_lazy.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_op.py to test_op.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_opt.py to test_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_optdb.py to test_optdb.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_params_type.py to test_params_type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_sched.py to test_sched.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_toolbox.py to test_toolbox.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_types.py to test_types.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_utils.py to test_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_vm.py to test_vm.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_link.py to test_link.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/basic_ops.py to basic_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/blas.py to blas.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/blocksparse.py to blocksparse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/ctc.py to ctc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/cudnn_defs.py to cudnn_defs.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/dnn.py to dnn.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/elemwise.py to elemwise.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/extra_ops.py to extra_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/fft.py to fft.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/fp16_help.py to fp16_help.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/kernel_codegen.py to kernel_codegen.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/linalg.py to linalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/multinomial.py to multinomial.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/neighbours.py to neighbours.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/nerv.py to nerv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/nnet.py to nnet.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/opt.py to opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/opt_util.py to opt_util.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/pool.py to pool.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/reduction.py to reduction.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/rng_mrg.py to rng_mrg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/sort.py to sort.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/subtensor.py to subtensor.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/type.py to type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/check_dnn_conv.py to check_dnn_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/config.py to config.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/rnn_support.py to rnn_support.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/run_dnn_conv.py to run_dnn_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_abstractconv.py to test_abstractconv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_basic_ops.py to test_basic_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_blas.py to test_blas.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_blocksparse.py to test_blocksparse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py to test_cgpukernelbase.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_ctc.py to test_ctc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_dnn.py to test_dnn.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_elemwise.py to test_elemwise.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_extra_ops.py to test_extra_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_fft.py to test_fft.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_gemmcorr.py to test_gemmcorr.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py to test_gemmcorr3d.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_linalg.py to test_linalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_misc.py to test_misc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_multinomial.py to test_multinomial.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_neighbours.py to test_neighbours.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_nnet.py to test_nnet.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_opt.py to test_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_others.py to test_others.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_pickle.py to test_pickle.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_pool.py to test_pool.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_reduction.py to test_reduction.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_rng_mrg.py to test_rng_mrg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_scan.py to test_scan.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_sort.py to test_sort.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_subtensor.py to test_subtensor.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/gpuarray/tests/test_type.py to test_type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/buildbot_filter.py to buildbot_filter.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/burn_gpu.py to burn_gpu.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/check_blas.py to check_blas.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/check_multi_gpu.py to check_multi_gpu.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/cpucount.py to cpucount.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/doubleop.py to doubleop.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/elemwise_openmp_speedup.py to elemwise_openmp_speedup.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/elemwise_time_test.py to elemwise_time_test.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/frozendict.py to frozendict.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/gh_api.py to gh_api.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/may_share_memory.py to may_share_memory.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/ordered_set.py to ordered_set.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/pkl_utils.py to pkl_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/safe_asarray.py to safe_asarray.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/strutil.py to strutil.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/windows.py to windows.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests/test_may_share_memory.py to test_may_share_memory.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/tests/test_pkl_utils.py to test_pkl_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/blocksparse.py to blocksparse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/conv.py to conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/fourier.py to fourier.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/minimal.py to minimal.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/multinomial.py to multinomial.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/neighbours.py to neighbours.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/rng_mrg.py to rng_mrg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/softsign.py to softsign.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/solve.py to solve.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/cuda/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/ops.py to ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests/test_multinomial.py to test_multinomial.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests/test_multinomial_wo_replacement.py to test_multinomial_wo_replacement.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sandbox/tests/test_rng_mrg.py to test_rng_mrg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/basic.py to basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/basic_scipy.py to basic_scipy.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/basic_sympy.py to basic_sympy.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/sharedvar.py to sharedvar.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests/test_basic.py to test_basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests/test_div_future.py to test_div_future.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scalar/tests/test_div_no_future.py to test_div_no_future.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan.py to scan.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan_checkpoints.py to scan_checkpoints.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan_op.py to scan_op.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan_opt.py to scan_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan_utils.py to scan_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/scan_views.py to scan_views.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests/test_scan.py to test_scan.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests/test_scan_checkpoints.py to test_scan_checkpoints.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests/test_scan_opt.py to test_scan_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/scan_module/tests/test_scan_utils.py to test_scan_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/basic.py to basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/opt.py to opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sharedvar.py to sharedvar.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/type.py to type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/utils.py to utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox/sp.py to sp.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox/sp2.py to sp2.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox/test_sp.py to test_sp.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/sandbox/truedot.py to truedot.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests/test_opt.py to test_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests/test_sp2.py to test_sp2.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests/test_type.py to test_type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests/test_utils.py to test_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/sparse/tests/test_basic.py to test_basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/basic.py to basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/blas.py to blas.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/blas_c.py to blas_c.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/blas_headers.py to blas_headers.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/blas_scipy.py to blas_scipy.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/elemwise.py to elemwise.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/extra_ops.py to extra_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/fft.py to fft.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/fourier.py to fourier.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/inc_code.py to inc_code.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/inplace.py to inplace.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/io.py to io.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nlinalg.py to nlinalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/opt.py to opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/raw_random.py to raw_random.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/sharedvar.py to sharedvar.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/slinalg.py to slinalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/subtensor.py to subtensor.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/type.py to type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/type_other.py to type_other.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/utils.py to utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/xlogx.py to xlogx.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/sort.py to sort.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/var.py to var.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/abstract_conv.py to abstract_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/blocksparse.py to blocksparse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/conv.py to conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/corr.py to corr.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/corr3d.py to corr3d.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/ctc.py to ctc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/neighbours.py to neighbours.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/nnet.py to nnet.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/opt.py to opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/sigm.py to sigm.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/bn.py to bn.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_abstract_conv.py to test_abstract_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py to test_blocksparse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_bn.py to test_bn.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_corr.py to test_corr.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_corr3d.py to test_corr3d.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_ctc.py to test_ctc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_neighbours.py to test_neighbours.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_opt.py to test_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/conv.py to conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/pool.py to pool.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests/test_conv.py to test_conv.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/signal/tests/test_pool.py to test_pool.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/mlp_test.py to mlp_test.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_blas.py to test_blas.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_casting.py to test_casting.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_complex.py to test_complex.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_fft.py to test_fft.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_fourier.py to test_fourier.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_gc.py to test_gc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_io.py to test_io.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_merge.py to test_merge.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_misc.py to test_misc.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_mpi.py to test_mpi.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_nlinalg.py to test_nlinalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_opt.py to test_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_slinalg.py to test_slinalg.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_sort.py to test_sort.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_type_other.py to test_type_other.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_utils.py to test_utils.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_var.py to test_var.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_basic.py to test_basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/breakpoint.py to breakpoint.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/disturb_mem.py to disturb_mem.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/diverse_tests.py to diverse_tests.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/main.py to main.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/record.py to record.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_breakpoint.py to test_breakpoint.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_config.py to test_config.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_dictionary_output.py to test_dictionary_output.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_flake8.py to test_flake8.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_gradient.py to test_gradient.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_ifelse.py to test_ifelse.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_pickle_unpickle_theano_fn.py to test_pickle_unpickle_theano_fn.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_printing.py to test_printing.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_record.py to test_record.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_rop.py to test_rop.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_updates.py to test_updates.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/unittest_tools.py to unittest_tools.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/test_determinism.py to test_determinism.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/basic.py to basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/opt.py to opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/type.py to type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests/__init__.py to __init__.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests/test_basic.py to test_basic.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests/test_opt.py to test_opt.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/typed_list/tests/test_type.py to test_type.cpython-38.pyc
byte-compiling /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/theano/_version.py to _version.cpython-38.pyc
running install_egg_info
running egg_info
creating Theano.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
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 <dir> <pattern1> <pattern2> ...
writing manifest file 'Theano.egg-info/SOURCES.txt'
Copying Theano.egg-info to /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/lib/python3.8/dist-packages/Theano-1.0.4.egg-info
Skipping SOURCES.txt
running install_scripts
Installing theano-cache script to /<<BUILDDIR>>/theano-1.0.4+dfsg/debian/python3-theano/usr/share/python3-theano
Installing theano-nose script to /<<BUILDDIR>>/theano-1.0.4+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/python3-theano/usr/lib/python3.8/dist-packages/theano/misc/check_blas_many.sh'
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
debian/rules override_dh_installdocs
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_installdocs -A README.html NEWS.gz
rdfind -outputname /dev/null -makesymlinks true debian/theano-doc
Now scanning "debian/theano-doc", found 0 files.
Now have 0 files in total.
Removed 0 files due to nonunique device and inode.
Total size is 0 bytes or 0 B
Removed 0 files due to unique sizes from list.0 files left.
Now eliminating candidates based on first bytes:removed 0 files from list.0 files left.
Now eliminating candidates based on last bytes:removed 0 files from list.0 files left.
Now eliminating candidates based on sha1 checksum:removed 0 files from list.0 files left.
It seems like you have 0 files that are not unique
Totally, 0 B can be reduced.
Now making results file /dev/null
Now making symbolic links. creating
Making 0 links.
symlinks -r -s -c debian/theano-doc
/<<BUILDDIR>>/theano-1.0.4+dfsg/debian/theano-doc: No such file or directory
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
debian/rules override_dh_sphinxdoc
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_sphinxdoc
dh_sphinxdoc: warning: Sphinx documentation not found
rm -fv debian/theano-doc/usr/share/doc/theano-doc/html/_sources/LICENSE.txt # extra-license-file
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
debian/rules override_dh_installchangelogs
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
#the -X is meant as "don't try to install upstream changelog, only Debian's" - #906827
dh_installchangelogs -Xtxt
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_python3 -a -O--buildsystem=pybuild
dh_installinit -a -O--buildsystem=pybuild
dh_installsystemduser -a -O--buildsystem=pybuild
dh_perl -a -O--buildsystem=pybuild
dh_link -a -O--buildsystem=pybuild
dh_strip_nondeterminism -a -O--buildsystem=pybuild
debian/rules override_dh_compress
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_compress -X.py -X.ipynb -X.pdf # save theano-doc/html/_downloads
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_fixperms -a -O--buildsystem=pybuild
dh_missing -a -O--buildsystem=pybuild
dh_dwz -a -O--buildsystem=pybuild
dh_strip -a -O--buildsystem=pybuild
dh_makeshlibs -a -O--buildsystem=pybuild
dh_shlibdeps -a -O--buildsystem=pybuild
dh_installdeb -a -O--buildsystem=pybuild
debian/rules override_dh_gencontrol
make[1]: Entering directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_gencontrol -- -VjavascriptBU="node-lodash-compat (= 3.10.2-1), d3 (= 3.5.17-2), "
make[1]: Leaving directory '/<<BUILDDIR>>/theano-1.0.4+dfsg'
dh_md5sums -a -O--buildsystem=pybuild
dh_builddeb -a -O--buildsystem=pybuild
dpkg-deb: building package 'python3-theano' in '../python3-theano_1.0.4+dfsg-2_armhf.deb'.
dpkg-genbuildinfo --build=any
dpkg-genchanges --build=any -mRaspbian 2019 test autobuilder <root@raspbian.org> >../theano_1.0.4+dfsg-2_armhf.changes
dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included)
dpkg-source --after-build .
dpkg-source: info: using options from theano-1.0.4+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/
dpkg-buildpackage: info: binary-only upload (no source included)
--------------------------------------------------------------------------------
Build finished at 2020-04-06T03:05:48Z
Finished
--------
I: Built successfully
+------------------------------------------------------------------------------+
| Post Build Chroot |
+------------------------------------------------------------------------------+
+------------------------------------------------------------------------------+
| Changes |
+------------------------------------------------------------------------------+
theano_1.0.4+dfsg-2_armhf.changes:
----------------------------------
Format: 1.8
Date: Thu, 02 Apr 2020 18:48:22 +0100
Source: theano
Binary: python3-theano
Architecture: armhf
Version: 1.0.4+dfsg-2
Distribution: bullseye-staging
Urgency: medium
Maintainer: Raspbian 2019 test autobuilder <root@raspbian.org>
Changed-By: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Description:
python3-theano - CPU/GPU math expression compiler for Python 3
Closes: 950463 955065 955471
Changes:
theano (1.0.4+dfsg-2) unstable; urgency=medium
.
* Allow building with Sphinx 2. (Closes: #955065)
* Fix SyntaxWarnings. (Closes: #950463)
* Bump Standards-Version to 4.5.0 (no changes needed).
* Fix exceptions / test failures with current numpy and scipy.
* Fail the build on test failures. With the above, Closes: #955471.
Checksums-Sha1:
c64cf34dc3b2c5ff5c64ca3700106b3c5fdf2165 2014944 python3-theano_1.0.4+dfsg-2_armhf.deb
e8fc65d57153bcba4b35e8448dee4c23cc85e41d 12869 theano_1.0.4+dfsg-2_armhf.buildinfo
Checksums-Sha256:
d9404b4048c7fa189baa2a85669bd90fd8fbe343f0d797570cf24300f2f4e9e7 2014944 python3-theano_1.0.4+dfsg-2_armhf.deb
f1647edc3d6cdf1dd78646d1e375c196e1e966e6a2ce040314d3ae79003a4722 12869 theano_1.0.4+dfsg-2_armhf.buildinfo
Files:
c0a365d3b2dafaa79be3b735d16328e8 2014944 python optional python3-theano_1.0.4+dfsg-2_armhf.deb
0b65bb98ae99fe740cd222125165f726 12869 science optional theano_1.0.4+dfsg-2_armhf.buildinfo
+------------------------------------------------------------------------------+
| Buildinfo |
+------------------------------------------------------------------------------+
Format: 1.0
Source: theano
Binary: python3-theano theano-doc
Architecture: armhf
Version: 1.0.4+dfsg-2
Checksums-Md5:
c0a365d3b2dafaa79be3b735d16328e8 2014944 python3-theano_1.0.4+dfsg-2_armhf.deb
Checksums-Sha1:
c64cf34dc3b2c5ff5c64ca3700106b3c5fdf2165 2014944 python3-theano_1.0.4+dfsg-2_armhf.deb
Checksums-Sha256:
d9404b4048c7fa189baa2a85669bd90fd8fbe343f0d797570cf24300f2f4e9e7 2014944 python3-theano_1.0.4+dfsg-2_armhf.deb
Build-Origin: Raspbian
Build-Architecture: armhf
Build-Date: Mon, 06 Apr 2020 03:05:44 +0000
Build-Path: /<<BUILDDIR>>/theano-1.0.4+dfsg
Installed-Build-Depends:
autoconf (= 2.69-11.1),
automake (= 1:1.16.1-4),
autopoint (= 0.19.8.1-10),
autotools-dev (= 20180224.1),
base-files (= 11+rpi1),
base-passwd (= 3.5.47),
bash (= 5.0-6),
binutils (= 2.34-5+rpi1),
binutils-arm-linux-gnueabihf (= 2.34-5+rpi1),
binutils-common (= 2.34-5+rpi1),
bsdmainutils (= 11.1.2),
bsdutils (= 1:2.34-0.1),
build-essential (= 12.8),
bzip2 (= 1.0.8-2),
ca-certificates (= 20190110),
coreutils (= 8.30-3),
cpp (= 4:9.2.1-3.1+rpi1),
cpp-9 (= 9.3.0-8+rpi1),
cython3 (= 0.29.14-0.1+b1),
dash (= 0.5.10.2-7),
debconf (= 1.5.73),
debhelper (= 12.10),
debianutils (= 4.9.1),
dh-autoreconf (= 19),
dh-python (= 4.20200315),
dh-strip-nondeterminism (= 1.6.3-2),
diffutils (= 1:3.7-3),
docutils-common (= 0.16+dfsg-2),
dpkg (= 1.19.7),
dpkg-dev (= 1.19.7),
dvipng (= 1.15-1.1+b2),
dwz (= 0.13-5),
fdisk (= 2.34-0.1),
file (= 1:5.38-4),
findutils (= 4.7.0-1),
fontconfig (= 2.13.1-2),
fontconfig-config (= 2.13.1-2),
fonts-dejavu-core (= 2.37-1),
fonts-font-awesome (= 5.0.10+really4.7.0~dfsg-1),
fonts-lato (= 2.0-2),
fonts-lmodern (= 2.004.5-6),
fonts-urw-base35 (= 20170801.1-3),
g++ (= 4:9.2.1-3.1+rpi1),
g++-9 (= 9.3.0-8+rpi1),
gcc (= 4:9.2.1-3.1+rpi1),
gcc-10-base (= 10-20200324-1+rpi1),
gcc-9 (= 9.3.0-8+rpi1),
gcc-9-base (= 9.3.0-8+rpi1),
gettext (= 0.19.8.1-10),
gettext-base (= 0.19.8.1-10),
ghostscript (= 9.52~dfsg-1),
graphviz (= 2.42.2-3+b2),
grep (= 3.4-1),
groff-base (= 1.22.4-4),
gzip (= 1.10-2),
hostname (= 3.23),
init-system-helpers (= 1.57),
intltool-debian (= 0.35.0+20060710.5),
jupyter-nbconvert (= 5.6.1-1),
latexmk (= 1:4.69-0.1),
libacl1 (= 2.2.53-6),
libapache-pom-java (= 18-1),
libarchive-zip-perl (= 1.68-1),
libasan5 (= 9.3.0-8+rpi1),
libatomic1 (= 10-20200324-1+rpi1),
libattr1 (= 1:2.4.48-5),
libaudit-common (= 1:2.8.5-3),
libaudit1 (= 1:2.8.5-3),
libavahi-client3 (= 0.7-5),
libavahi-common-data (= 0.7-5),
libavahi-common3 (= 0.7-5),
libbinutils (= 2.34-5+rpi1),
libblas-dev (= 3.9.0-1),
libblas3 (= 3.9.0-1),
libblkid1 (= 2.34-0.1),
libbsd0 (= 0.10.0-1),
libbz2-1.0 (= 1.0.8-2),
libc-ares2 (= 1.15.0-1),
libc-bin (= 2.30-4+rpi1),
libc-dev-bin (= 2.30-4+rpi1),
libc6 (= 2.30-4+rpi1),
libc6-dev (= 2.30-4+rpi1),
libcairo2 (= 1.16.0-4),
libcap-ng0 (= 0.7.9-2.1+b1),
libcc1-0 (= 10-20200324-1+rpi1),
libcdt5 (= 2.42.2-3+b2),
libcgraph6 (= 2.42.2-3+b2),
libcom-err2 (= 1.45.6-1),
libcommons-logging-java (= 1.2-2),
libcommons-parent-java (= 43-1),
libcroco3 (= 0.6.13-1),
libcrypt-dev (= 1:4.4.15-1),
libcrypt1 (= 1:4.4.15-1),
libctf-nobfd0 (= 2.34-5+rpi1),
libctf0 (= 2.34-5+rpi1),
libcups2 (= 2.3.1-11),
libdatrie1 (= 0.2.12-3+b1),
libdb5.3 (= 5.3.28+dfsg1-0.6),
libdbus-1-3 (= 1.12.16-2+b1),
libdebconfclient0 (= 0.251),
libdebhelper-perl (= 12.10),
libdpkg-perl (= 1.19.7),
libelf1 (= 0.176-1.1),
libexpat1 (= 2.2.9-1),
libexpat1-dev (= 2.2.9-1),
libfdisk1 (= 2.34-0.1),
libffi7 (= 3.3-4),
libfile-stripnondeterminism-perl (= 1.6.3-2),
libfontbox-java (= 1:1.8.16-2),
libfontconfig1 (= 2.13.1-2),
libfreetype6 (= 2.10.1-2),
libfribidi0 (= 1.0.8-2),
libgcc-9-dev (= 9.3.0-8+rpi1),
libgcc-s1 (= 10-20200324-1+rpi1),
libgcc1 (= 1:10-20200324-1+rpi1),
libgcrypt20 (= 1.8.5-5),
libgd3 (= 2.2.5-5.2),
libgdbm-compat4 (= 1.18.1-5),
libgdbm6 (= 1.18.1-5),
libgfortran5 (= 10-20200324-1+rpi1),
libglib2.0-0 (= 2.64.1-1),
libgmp10 (= 2:6.2.0+dfsg-4),
libgnutls30 (= 3.6.12-2),
libgomp1 (= 10-20200324-1+rpi1),
libgpg-error0 (= 1.37-1),
libgraphite2-3 (= 1.3.13-11),
libgs9 (= 9.52~dfsg-1),
libgs9-common (= 9.52~dfsg-1),
libgssapi-krb5-2 (= 1.17-7),
libgts-0.7-5 (= 0.7.6+darcs121130-4),
libgvc6 (= 2.42.2-3+b2),
libgvpr2 (= 2.42.2-3+b2),
libharfbuzz-icu0 (= 2.6.4-1+rpi1),
libharfbuzz0b (= 2.6.4-1+rpi1),
libhogweed5 (= 3.5.1+really3.5.1-2),
libice6 (= 2:1.0.9-2),
libicu63 (= 63.2-3),
libidn11 (= 1.33-2.2),
libidn2-0 (= 2.3.0-1),
libijs-0.35 (= 0.35-15),
libisl22 (= 0.22.1-1),
libjbig0 (= 2.1-3.1+b2),
libjbig2dec0 (= 0.18-1),
libjpeg62-turbo (= 1:1.5.2-2+b1),
libjs-d3 (= 3.5.17-2),
libjs-jquery (= 3.3.1~dfsg-3),
libjs-modernizr (= 2.6.2+ds1-3),
libjs-sphinxdoc (= 1.8.5-8),
libjs-underscore (= 1.9.1~dfsg-1),
libk5crypto3 (= 1.17-7),
libkeyutils1 (= 1.6.1-2),
libkpathsea6 (= 2019.20190605.51237-3),
libkrb5-3 (= 1.17-7),
libkrb5support0 (= 1.17-7),
liblab-gamut1 (= 2.42.2-3+b2),
liblapack3 (= 3.9.0-1),
liblbfgsb0 (= 3.0+dfsg.3-7),
liblcms2-2 (= 2.9-4),
libltdl7 (= 2.4.6-14),
liblz4-1 (= 1.9.2-2),
liblzma5 (= 5.2.4-1),
libmagic-mgc (= 1:5.38-4),
libmagic1 (= 1:5.38-4),
libmount1 (= 2.34-0.1),
libmpc3 (= 1.1.0-1),
libmpdec2 (= 2.4.2-3),
libmpfr6 (= 4.0.2-1),
libncursesw6 (= 6.2-1),
libnettle7 (= 3.5.1+really3.5.1-2),
libnghttp2-14 (= 1.40.0-1+b2),
libnode64 (= 10.19.0~dfsg-3),
libnorm1 (= 1.5.8+dfsg2-2),
libopenjp2-7 (= 2.3.1-1),
libp11-kit0 (= 0.23.20-1),
libpam-modules (= 1.3.1-5),
libpam-modules-bin (= 1.3.1-5),
libpam-runtime (= 1.3.1-5),
libpam0g (= 1.3.1-5),
libpango-1.0-0 (= 1.42.4-8),
libpangocairo-1.0-0 (= 1.42.4-8),
libpangoft2-1.0-0 (= 1.42.4-8),
libpaper-utils (= 1.1.28),
libpaper1 (= 1.1.28),
libpathplan4 (= 2.42.2-3+b2),
libpcre2-8-0 (= 10.34-7),
libpcre3 (= 2:8.39-12),
libpdfbox-java (= 1:1.8.16-2),
libperl5.30 (= 5.30.0-9),
libpgm-5.2-0 (= 5.2.122~dfsg-3),
libpipeline1 (= 1.5.2-2),
libpixman-1-0 (= 0.36.0-1),
libpng16-16 (= 1.6.37-2),
libptexenc1 (= 2019.20190605.51237-3),
libpython3-dev (= 3.8.2-2),
libpython3-stdlib (= 3.8.2-2),
libpython3.7-minimal (= 3.7.7-1),
libpython3.7-stdlib (= 3.7.7-1),
libpython3.8 (= 3.8.2-1),
libpython3.8-dev (= 3.8.2-1),
libpython3.8-minimal (= 3.8.2-1),
libpython3.8-stdlib (= 3.8.2-1),
libreadline8 (= 8.0-4),
libseccomp2 (= 2.4.3-1+rpi1),
libselinux1 (= 3.0-1+b1),
libsigsegv2 (= 2.12-2),
libsm6 (= 2:1.2.3-1),
libsmartcols1 (= 2.34-0.1),
libsodium23 (= 1.0.18-1),
libsqlite3-0 (= 3.31.1-4),
libssl1.1 (= 1.1.1d-2),
libstdc++-9-dev (= 9.3.0-8+rpi1),
libstdc++6 (= 10-20200324-1+rpi1),
libsub-override-perl (= 0.09-2),
libsynctex2 (= 2019.20190605.51237-3),
libsystemd0 (= 244.3-1+rpi1),
libtasn1-6 (= 4.16.0-2),
libteckit0 (= 2.5.8+ds2-5),
libtexlua53 (= 2019.20190605.51237-3),
libtexluajit2 (= 2019.20190605.51237-3),
libthai-data (= 0.1.28-3),
libthai0 (= 0.1.28-3),
libtiff5 (= 4.1.0+git191117-2),
libtinfo5 (= 6.2-1),
libtinfo6 (= 6.2-1),
libtool (= 2.4.6-14),
libubsan1 (= 10-20200324-1+rpi1),
libuchardet0 (= 0.0.6-3),
libudev1 (= 244.3-1+rpi1),
libunistring2 (= 0.9.10-2),
libuuid1 (= 2.34-0.1),
libuv1 (= 1.34.2-1),
libwebp6 (= 0.6.1-2),
libx11-6 (= 2:1.6.9-2),
libx11-data (= 2:1.6.9-2),
libxau6 (= 1:1.0.8-1+b2),
libxaw7 (= 2:1.0.13-1+b2),
libxcb-render0 (= 1.14-2),
libxcb-shm0 (= 1.14-2),
libxcb1 (= 1.14-2),
libxdmcp6 (= 1:1.1.2-3),
libxext6 (= 2:1.3.3-1+b2),
libxi6 (= 2:1.7.9-1),
libxml2 (= 2.9.10+dfsg-4),
libxmu6 (= 2:1.1.2-2+b3),
libxpm4 (= 1:3.5.12-1),
libxrender1 (= 1:0.9.10-1),
libxt6 (= 1:1.1.5-1+b3),
libzmq5 (= 4.3.2-2),
libzstd1 (= 1.4.4+dfsg-3+rpi1),
libzzip-0-13 (= 0.13.62-3.2),
linux-libc-dev (= 5.2.17-1+rpi1+b2),
login (= 1:4.8.1-1),
lsb-base (= 11.1.0+rpi1),
m4 (= 1.4.18-4),
make (= 4.2.1-1.2),
man-db (= 2.9.1-1),
mawk (= 1.3.4.20200120-2),
mime-support (= 3.64),
ncurses-base (= 6.2-1),
ncurses-bin (= 6.2-1),
node-ansi-regex (= 5.0.0-1),
node-ansi-styles (= 4.2.1-1),
node-browserify-lite (= 0.5.1-1),
node-camelcase (= 5.3.1-1),
node-cliui (= 4.1.0-2),
node-clone (= 2.1.2-1),
node-color-convert (= 1.9.3-1),
node-color-name (= 1.1.3-1),
node-cross-spawn (= 5.1.0-2),
node-decamelize (= 1.2.0-1),
node-defaults (= 1.0.3-1),
node-end-of-stream (= 1.4.4-1),
node-execa (= 0.10.0+dfsg-1),
node-find-up (= 4.1.0-2),
node-get-caller-file (= 1.0.2-1),
node-get-stream (= 4.1.0-1),
node-invert-kv (= 1.0.0-1),
node-is-stream (= 1.1.0-1),
node-isexe (= 2.0.0-4),
node-lcid (= 1.0.0-1),
node-locate-path (= 5.0.0-2),
node-lodash-compat (= 3.10.2-1),
node-lru-cache (= 5.1.1-5),
node-mem (= 1.1.0-1),
node-mimic-fn (= 3.0.0-1),
node-npm-run-path (= 2.0.2-2),
node-once (= 1.4.0-3),
node-os-locale (= 4.0.0-1),
node-p-finally (= 1.0.0-2),
node-p-limit (= 2.2.2-1),
node-p-locate (= 2.0.0-1),
node-path-exists (= 4.0.0-2),
node-pegjs (= 0.7.0-2),
node-pend (= 1.2.0-3),
node-pump (= 3.0.0-2),
node-require-directory (= 2.1.1-1),
node-require-main-filename (= 1.0.1-1),
node-set-blocking (= 2.0.0-1),
node-shebang-command (= 1.2.0-1),
node-shebang-regex (= 2.0.0-1),
node-signal-exit (= 3.0.2-1),
node-string-width (= 2.1.1-1),
node-strip-ansi (= 6.0.0-2),
node-strip-eof (= 1.0.0-2),
node-uglify (= 2.8.29-6),
node-wcwidth.js (= 1.0.0-1),
node-which (= 2.0.2-1),
node-which-module (= 2.0.0-1),
node-wrap-ansi (= 4.0.0-2),
node-wrappy (= 1.0.2-1),
node-y18n (= 4.0.0-2),
node-yallist (= 4.0.0-1),
node-yargs (= 15.3.0-1),
node-yargs-parser (= 18.1.1-1),
nodejs (= 10.19.0~dfsg-3),
openssl (= 1.1.1d-2),
patch (= 2.7.6-6),
perl (= 5.30.0-9),
perl-base (= 5.30.0-9),
perl-modules-5.30 (= 5.30.0-9),
po-debconf (= 1.0.21),
poppler-data (= 0.4.9-2),
preview-latex-style (= 11.91-2),
python-babel-localedata (= 2.8.0+dfsg.1-2),
python3 (= 3.8.2-2),
python3-alabaster (= 0.7.8-1.1),
python3-attr (= 19.3.0-2),
python3-babel (= 2.8.0+dfsg.1-2),
python3-backcall (= 0.1.0-2),
python3-bleach (= 3.1.4-1),
python3-certifi (= 2019.11.28-1),
python3-chardet (= 3.0.4-4),
python3-dateutil (= 2.7.3-3),
python3-decorator (= 4.4.2-1),
python3-defusedxml (= 0.6.0-2),
python3-dev (= 3.8.2-2),
python3-distutils (= 3.8.2-2),
python3-docutils (= 0.16+dfsg-2),
python3-entrypoints (= 0.3-2),
python3-html5lib (= 1.0.1-2),
python3-idna (= 2.8-1),
python3-imagesize (= 1.2.0-2),
python3-ipykernel (= 5.2.0-1),
python3-ipython (= 7.13.0-1),
python3-ipython-genutils (= 0.2.0-2),
python3-jedi (= 0.16.0-1),
python3-jinja2 (= 2.10.1-2),
python3-jsonschema (= 3.0.2-4),
python3-jupyter-client (= 6.1.2-1),
python3-jupyter-core (= 4.6.3-3),
python3-lib2to3 (= 3.8.2-2),
python3-markupsafe (= 1.1.1-1),
python3-minimal (= 3.8.2-2),
python3-mistune (= 0.8.4-2),
python3-nbconvert (= 5.6.1-1),
python3-nbformat (= 5.0.5-1),
python3-nose (= 1.3.7-5),
python3-numpy (= 1:1.17.4-5+b1),
python3-packaging (= 20.3-1),
python3-pandocfilters (= 1.4.2-2),
python3-parameterized (= 0.7.0-2),
python3-parso (= 0.6.2-1),
python3-pexpect (= 4.6.0-1),
python3-pickleshare (= 0.7.5-1),
python3-pkg-resources (= 44.0.0-1),
python3-prompt-toolkit (= 2.0.10-2),
python3-ptyprocess (= 0.6.0-1),
python3-pydot (= 1.4.1-3),
python3-pygments (= 2.3.1+dfsg-1),
python3-pyparsing (= 2.4.6-1),
python3-pyrsistent (= 0.15.5-1+b1),
python3-requests (= 2.22.0-2),
python3-roman (= 2.0.0-4),
python3-scipy (= 1.3.3-3+b1),
python3-setuptools (= 44.0.0-1),
python3-six (= 1.14.0-2),
python3-sphinx (= 1.8.5-8),
python3-sphinx-rtd-theme (= 0.4.3+dfsg-3),
python3-testpath (= 0.4.4+dfsg-1),
python3-tornado (= 6.0.3+really5.1.1-3),
python3-traitlets (= 4.3.3-2),
python3-tz (= 2019.3-1),
python3-urllib3 (= 1.25.8-1),
python3-wcwidth (= 0.1.8+dfsg1-3),
python3-webencodings (= 0.5.1-1),
python3-zmq (= 18.1.1-3),
python3.7 (= 3.7.7-1),
python3.7-minimal (= 3.7.7-1),
python3.8 (= 3.8.2-1),
python3.8-dev (= 3.8.2-1),
python3.8-minimal (= 3.8.2-1),
rdfind (= 1.4.1-1+b1),
readline-common (= 8.0-4),
sed (= 4.7-1),
sensible-utils (= 0.0.12+nmu1),
sgml-base (= 1.29.1),
sphinx-common (= 1.8.5-8),
sphinx-rtd-theme-common (= 0.4.3+dfsg-3),
symlinks (= 1.4-4),
sysvinit-utils (= 2.96-3),
t1utils (= 1.41-3),
tar (= 1.30+dfsg-7),
tex-common (= 6.13),
texlive-base (= 2019.20200302-1),
texlive-binaries (= 2019.20190605.51237-3),
texlive-fonts-recommended (= 2019.20200302-1),
texlive-latex-base (= 2019.20200302-1),
texlive-latex-extra (= 2019.202000302-1),
texlive-latex-recommended (= 2019.20200302-1),
texlive-pictures (= 2019.20200302-1),
tzdata (= 2019c-3),
ucf (= 3.0038+nmu1),
util-linux (= 2.34-0.1),
x11-common (= 1:7.7+20),
xdg-utils (= 1.1.3-2),
xml-core (= 0.18+nmu1),
xz-utils (= 5.2.4-1),
zlib1g (= 1:1.2.11.dfsg-2),
zlib1g-dev (= 1:1.2.11.dfsg-2)
Environment:
DEB_BUILD_OPTIONS="parallel=4"
LANG="en_GB.UTF-8"
LC_ALL="POSIX"
SOURCE_DATE_EPOCH="1585849702"
+------------------------------------------------------------------------------+
| Package contents |
+------------------------------------------------------------------------------+
python3-theano_1.0.4+dfsg-2_armhf.deb
-------------------------------------
new Debian package, version 2.0.
size 2014944 bytes: control archive=11960 bytes.
1344 bytes, 25 lines control
42388 bytes, 442 lines md5sums
253 bytes, 12 lines * postinst #!/bin/sh
402 bytes, 12 lines * prerm #!/bin/sh
Package: python3-theano
Source: theano
Version: 1.0.4+dfsg-2
Architecture: armhf
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 11681
Depends: python3-numpy, python3-scipy, python3-six (>= 1.9.0), python3:any, python3-dev, libblas-dev | libblas.so
Recommends: g++, python3-pydot, python3-nose, python3-parameterized, python3-pkg-resources, python3-pygpu, libgpuarray-dev, cython3, graphviz
Suggests: nvidia-cuda-toolkit, python3-pycuda, theano-doc
Breaks: python3-lasagne (<< 0.1+git20180322.37ca134)
Built-Using: d3 (= 3.5.17-2), node-lodash-compat (= 3.10.2-1)
Section: python
Priority: optional
Homepage: http://www.deeplearning.net/software/theano/
Description: CPU/GPU math expression compiler for Python 3
Theano is a Python library that allows one to define and evaluate mathematical
expressions involving multi-dimensional arrays efficiently. It provides a
high-level Numpy like expression language for functional description of
calculation, rearranges expressions for speed and stability, and generates
native machine instructions for fast calculation. Optionally, highly
accelerated computations could be carried out on graphics cards processors.
.
This package contains Theano for Python 3.
.
Theano development is ending: consider using Caffe or Torch instead.
drwxr-xr-x root/root 0 2020-04-02 17:48 ./
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/Theano-1.0.4.egg-info/
-rw-r--r-- root/root 3521 2020-04-02 17:48 ./usr/lib/python3/dist-packages/Theano-1.0.4.egg-info/PKG-INFO
-rw-r--r-- root/root 1 2020-04-02 17:48 ./usr/lib/python3/dist-packages/Theano-1.0.4.egg-info/dependency_links.txt
-rw-r--r-- root/root 91 2020-04-02 17:48 ./usr/lib/python3/dist-packages/Theano-1.0.4.egg-info/entry_points.txt
-rw-r--r-- root/root 71 2020-04-02 17:48 ./usr/lib/python3/dist-packages/Theano-1.0.4.egg-info/requires.txt
-rw-r--r-- root/root 11 2020-04-02 17:48 ./usr/lib/python3/dist-packages/Theano-1.0.4.egg-info/top_level.txt
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/bin/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/bin/__init__.py
-rw-r--r-- root/root 4044 2020-04-02 17:48 ./usr/lib/python3/dist-packages/bin/theano_cache.py
-rw-r--r-- root/root 10996 2020-04-02 17:48 ./usr/lib/python3/dist-packages/bin/theano_nose.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/
-rw-r--r-- root/root 7539 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/__init__.py
-rw-r--r-- root/root 497 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/_version.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/compat/
-rw-r--r-- root/root 4335 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compat/__init__.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/compile/
-rw-r--r-- root/root 1018 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/__init__.py
-rw-r--r-- root/root 30942 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/builders.py
-rw-r--r-- root/root 96412 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/debugmode.py
-rw-r--r-- root/root 14362 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/function.py
-rw-r--r-- root/root 79864 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/function_module.py
-rw-r--r-- root/root 9132 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/io.py
-rw-r--r-- root/root 16801 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/compile/mode.py
-rw-r--r-- root/root 3686 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/monitormode.py
-rw-r--r-- root/root 9470 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/nanguardmode.py
-rw-r--r-- root/root 31229 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/ops.py
-rw-r--r-- root/root 22075 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/pfunc.py
-rw-r--r-- root/root 61020 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/profiling.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/compile/sandbox/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/sandbox/__init__.py
-rw-r--r-- root/root 10586 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/sharedvalue.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/compile/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/__init__.py
-rw-r--r-- root/root 13152 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_builders.py
-rw-r--r-- root/root 27442 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_debugmode.py
-rw-r--r-- root/root 7052 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_function.py
-rw-r--r-- root/root 40583 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_function_module.py
-rw-r--r-- root/root 422 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_function_name.py
-rw-r--r-- root/root 2153 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_misc.py
-rw-r--r-- root/root 1300 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_mode.py
-rw-r--r-- root/root 2114 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_modes.py
-rw-r--r-- root/root 3422 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_monitormode.py
-rw-r--r-- root/root 2260 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_nanguardmode.py
-rw-r--r-- root/root 2207 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_ops.py
-rw-r--r-- root/root 35510 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_pfunc.py
-rw-r--r-- root/root 3699 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_profiling.py
-rw-r--r-- root/root 10278 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/compile/tests/test_shared.py
-rw-r--r-- root/root 76062 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/configdefaults.py
-rw-r--r-- root/root 15030 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/configparser.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/
-rw-r--r-- root/root 111 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/__init__.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/css/
-rw-r--r-- root/root 448 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/css/d3-context-menu.css
-rw-r--r-- root/root 1302 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/css/d3viz.css
-rw-r--r-- root/root 4056 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/d3viz.py
-rw-r--r-- root/root 12665 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/formatting.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/html/
-rw-r--r-- root/root 3085 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/html/template.html
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/js/
-rw-r--r-- root/root 1203 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/js/d3-context-menu.js
-rw-r--r-- root/root 188808 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/js/d3.v3.min.js
-rw-r--r-- root/root 23338 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/js/d3viz.js
-rw-r--r-- root/root 484265 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/js/dagre-d3.min.js
-rw-r--r-- root/root 436938 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/js/graphlib-dot.min.js
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/d3viz/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/tests/__init__.py
-rw-r--r-- root/root 1811 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/tests/models.py
-rw-r--r-- root/root 1824 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/tests/test_d3viz.py
-rw-r--r-- root/root 2273 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/d3viz/tests/test_formatting.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/
-rw-r--r-- root/root 2832 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/__init__.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/c_code/
-rw-r--r-- root/root 36908 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/c_code/lazylinker_c.c
-rw-r--r-- root/root 706 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/c_code/theano_mod_helper.h
-rw-r--r-- root/root 1565 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/callcache.py
-rw-r--r-- root/root 76233 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/cc.py
-rw-r--r-- root/root 96582 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/cmodule.py
-rw-r--r-- root/root 9944 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/compiledir.py
-rw-r--r-- root/root 14345 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/compilelock.py
-rw-r--r-- root/root 4641 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/cutils.py
-rw-r--r-- root/root 31912 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/destroyhandler.py
-rw-r--r-- root/root 31509 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/fg.py
-rw-r--r-- root/root 48954 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/graph.py
-rw-r--r-- root/root 6726 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/lazylinker_c.py
-rw-r--r-- root/root 38073 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/link.py
-rw-r--r-- root/root 1205 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/null_type.py
-rw-r--r-- root/root 58231 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/op.py
-rw-r--r-- root/root 116833 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/opt.py
-rw-r--r-- root/root 17672 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/optdb.py
-rw-r--r-- root/root 29100 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/params_type.py
-rw-r--r-- root/root 7931 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/sched.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/__init__.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/tests/c_code/
-rw-r--r-- root/root 144 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/c_code/test_cenum.h
-rw-r--r-- root/root 2006 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/c_code/test_quadratic_function.c
-rw-r--r-- root/root 12431 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_cc.py
-rw-r--r-- root/root 2484 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_cmodule.py
-rw-r--r-- root/root 924 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_compiledir.py
-rw-r--r-- root/root 14860 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/tests/test_compute_test_value.py
-rw-r--r-- root/root 13274 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_destroyhandler.py
-rw-r--r-- root/root 1600 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_fg.py
-rw-r--r-- root/root 172463 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_fg_old_crash.pkl
-rw-r--r-- root/root 15065 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_graph.py
-rw-r--r-- root/root 1353 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_graph_opt_caching.py
-rw-r--r-- root/root 5692 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_lazy.py
-rw-r--r-- root/root 6321 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gof/tests/test_link.py
-rw-r--r-- root/root 11181 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_op.py
-rw-r--r-- root/root 20693 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_opt.py
-rw-r--r-- root/root 1443 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_optdb.py
-rw-r--r-- root/root 12040 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_params_type.py
-rw-r--r-- root/root 1985 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_sched.py
-rw-r--r-- root/root 2301 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_toolbox.py
-rw-r--r-- root/root 8308 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_types.py
-rw-r--r-- root/root 1815 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_utils.py
-rw-r--r-- root/root 14304 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/tests/test_vm.py
-rw-r--r-- root/root 26424 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/toolbox.py
-rw-r--r-- root/root 42193 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/type.py
-rw-r--r-- root/root 13814 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/unify.py
-rw-r--r-- root/root 17635 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/utils.py
-rw-r--r-- root/root 48097 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gof/vm.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gpuarray/
-rw-r--r-- root/root 10867 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gpuarray/__init__.py
-rw-r--r-- root/root 62729 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/basic_ops.py
-rw-r--r-- root/root 78103 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/blas.py
-rw-r--r-- root/root 4828 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/blocksparse.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/
-rw-r--r-- root/root 4896 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/blockgemv.c
-rw-r--r-- root/root 4364 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/blockger.c
-rw-r--r-- root/root 2393 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/conv_desc.c
-rw-r--r-- root/root 33713 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/corr3d_gemm.c
-rw-r--r-- root/root 34074 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/corr_gemm.c
-rw-r--r-- root/root 8326 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/ctc_wrapper.c
-rw-r--r-- root/root 427 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/cudnn_helper.h
-rw-r--r-- root/root 2019 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dimshuffle.c
-rw-r--r-- root/root 3947 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_base.c
-rw-r--r-- root/root 3773 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_batchnorm.c
-rw-r--r-- root/root 1175 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_batchnorm_base.c
-rw-r--r-- root/root 2882 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_batchnorm_grad.c
-rw-r--r-- root/root 1820 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_batchnorm_inf.c
-rw-r--r-- root/root 12109 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_conv_base.c
-rw-r--r-- root/root 1348 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_dropout_desc.c
-rw-r--r-- root/root 1759 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_dropout_fwd.c
-rw-r--r-- root/root 17104 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_fwd.c
-rw-r--r-- root/root 15035 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_gi.c
-rw-r--r-- root/root 14697 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_gw.c
-rw-r--r-- root/root 4589 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_pool.c
-rw-r--r-- root/root 6133 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_pool_grad.c
-rw-r--r-- root/root 8692 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_redux.c
-rw-r--r-- root/root 1638 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_rnn_desc.c
-rw-r--r-- root/root 6271 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_rnn_fwd.c
-rw-r--r-- root/root 7196 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_rnn_gi.c
-rw-r--r-- root/root 4941 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_rnn_gw.c
-rw-r--r-- root/root 1711 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_rnn_paramsize.c
-rw-r--r-- root/root 2838 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_softmax.c
-rw-r--r-- root/root 3492 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_softmax_grad.c
-rw-r--r-- root/root 6650 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_sptf_gi.c
-rw-r--r-- root/root 4327 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_sptf_grid.c
-rw-r--r-- root/root 3269 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_sptf_gt.c
-rw-r--r-- root/root 5335 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/dnn_sptf_sampler.c
-rw-r--r-- root/root 1737 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/gpuarray_helper.h
-rw-r--r-- root/root 3820 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/magma_cholesky.c
-rw-r--r-- root/root 4079 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/magma_eigh.c
-rw-r--r-- root/root 2684 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/magma_inv.c
-rw-r--r-- root/root 4612 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/magma_qr.c
-rw-r--r-- root/root 5386 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/magma_svd.c
-rw-r--r-- root/root 15149 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/pool.c
-rw-r--r-- root/root 9396 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/pool_ave_grad.c
-rw-r--r-- root/root 8649 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/pool_grad_grad.c
-rw-r--r-- root/root 8753 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/pool_max_grad.c
-rw-r--r-- root/root 9318 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/pool_max_rop.c
-rw-r--r-- root/root 15110 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/topk_common.cuh
-rw-r--r-- root/root 4428 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/topk_dense.cu
-rw-r--r-- root/root 11928 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/c_code/topk_dense_large.cu
-rw-r--r-- root/root 6829 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/ctc.py
-rw-r--r-- root/root 18327 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/cudnn_defs.py
-rw-r--r-- root/root 159086 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/dnn.py
-rw-r--r-- root/root 112191 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/elemwise.py
-rw-r--r-- root/root 22183 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/extra_ops.py
-rw-r--r-- root/root 13752 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/fft.py
-rw-r--r-- root/root 755 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/fp16_help.py
-rw-r--r-- root/root 12011 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/kernel_codegen.py
-rw-r--r-- root/root 31295 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/linalg.py
-rw-r--r-- root/root 18262 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/multinomial.py
-rw-r--r-- root/root 27035 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/neighbours.py
-rw-r--r-- root/root 409 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/nerv.py
-rw-r--r-- root/root 45594 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/nnet.py
-rw-r--r-- root/root 115182 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/opt.py
-rw-r--r-- root/root 14505 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/opt_util.py
-rw-r--r-- root/root 16312 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/pool.py
-rw-r--r-- root/root 5995 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/reduction.py
-rw-r--r-- root/root 12156 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/rng_mrg.py
-rw-r--r-- root/root 12720 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/sort.py
-rw-r--r-- root/root 52258 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/subtensor.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/
-rw-r--r-- root/root 203 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/GpuArray.pkl
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/__init__.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/c_code/
-rw-r--r-- root/root 1582 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/c_code/tstgpueye.c
-rw-r--r-- root/root 47769 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/check_dnn_conv.py
-rw-r--r-- root/root 1221 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/config.py
-rw-r--r-- root/root 8282 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/rnn_support.py
-rw-r--r-- root/root 7816 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/run_dnn_conv.py
-rw-r--r-- root/root 12097 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_abstractconv.py
-rw-r--r-- root/root 22709 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_basic_ops.py
-rw-r--r-- root/root 9560 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_blas.py
-rw-r--r-- root/root 2518 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_blocksparse.py
-rw-r--r-- root/root 2427 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py
-rw-r--r-- root/root 6751 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_ctc.py
-rw-r--r-- root/root 122268 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_dnn.py
-rw-r--r-- root/root 17392 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_elemwise.py
-rw-r--r-- root/root 11500 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_extra_ops.py
-rw-r--r-- root/root 9790 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_fft.py
-rw-r--r-- root/root 13043 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_gemmcorr.py
-rw-r--r-- root/root 10824 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py
-rw-r--r-- root/root 165 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl
-rw-r--r-- root/root 27049 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_linalg.py
-rw-r--r-- root/root 758 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_misc.py
-rw-r--r-- root/root 13485 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_multinomial.py
-rw-r--r-- root/root 349 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_neighbours.py
-rw-r--r-- root/root 10483 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_nnet.py
-rw-r--r-- root/root 57884 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_opt.py
-rw-r--r-- root/root 1306 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_others.py
-rw-r--r-- root/root 2609 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_pickle.py
-rw-r--r-- root/root 11517 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_pool.py
-rw-r--r-- root/root 6457 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_reduction.py
-rw-r--r-- root/root 6992 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_rng_mrg.py
-rw-r--r-- root/root 9578 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_scan.py
-rw-r--r-- root/root 315 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_sort.py
-rw-r--r-- root/root 15400 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_subtensor.py
-rw-r--r-- root/root 6330 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/tests/test_type.py
-rw-r--r-- root/root 30972 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gpuarray/type.py
-rw-r--r-- root/root 87073 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/gradient.py
-rw-r--r-- root/root 30199 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/ifelse.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/misc/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/__init__.py
-rw-r--r-- root/root 926 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/buildbot_filter.py
-rw-r--r-- root/root 1276 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/burn_gpu.py
-rw-r--r-- root/root 10077 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/check_blas.py
-rw-r--r-- root/root 2495 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/check_duplicate_key.py
-rw-r--r-- root/root 3415 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/check_multi_gpu.py
-rw-r--r-- root/root 2307 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/cpucount.py
-rw-r--r-- root/root 1641 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/doubleop.py
-rw-r--r-- root/root 2294 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/elemwise_openmp_speedup.py
-rw-r--r-- root/root 1980 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/elemwise_time_test.py
-rw-r--r-- root/root 1387 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/frozendict.py
-rw-r--r-- root/root 3354 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/gh_api.py
-rw-r--r-- root/root 635 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/latence_gpu_transfert.py
-rw-r--r-- root/root 1528 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/may_share_memory.py
-rw-r--r-- root/root 7680 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/ordered_set.py
-rw-r--r-- root/root 13496 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/pkl_utils.py
-rw-r--r-- root/root 2384 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/safe_asarray.py
-rw-r--r-- root/root 1620 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/strutil.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/misc/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/tests/__init__.py
-rw-r--r-- root/root 3494 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/tests/test_may_share_memory.py
-rw-r--r-- root/root 2262 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/tests/test_pkl_utils.py
-rw-r--r-- root/root 3260 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/misc/windows.py
-rw-r--r-- root/root 1396 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/pathparse.py
-rw-r--r-- root/root 47923 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/printing.py
-rw-r--r-- root/root 926 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/raise_op.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sandbox/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/__init__.py
-rw-r--r-- root/root 656 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/blocksparse.py
-rw-r--r-- root/root 217 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/conv.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sandbox/cuda/
-rw-r--r-- root/root 580 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/cuda/__init__.py
-rw-r--r-- root/root 4002 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/fourier.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sandbox/linalg/
-rw-r--r-- root/root 403 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/linalg/__init__.py
-rw-r--r-- root/root 12759 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/linalg/ops.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sandbox/linalg/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/linalg/tests/__init__.py
-rw-r--r-- root/root 5005 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/linalg/tests/test_linalg.py
-rw-r--r-- root/root 2129 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/minimal.py
-rw-r--r-- root/root 14894 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/multinomial.py
-rw-r--r-- root/root 359 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/neighbours.py
-rw-r--r-- root/root 47746 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/rng_mrg.py
-rw-r--r-- root/root 8105 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/samples_MRG31k3p_12_7_5.txt
-rw-r--r-- root/root 270 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/softsign.py
-rw-r--r-- root/root 281 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/solve.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sandbox/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/tests/__init__.py
-rw-r--r-- root/root 977248 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/tests/multinomial_test_graph.pkl
-rw-r--r-- root/root 5563 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/tests/test_multinomial.py
-rw-r--r-- root/root 6359 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/tests/test_multinomial_wo_replacement.py
-rw-r--r-- root/root 32830 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/tests/test_rng_mrg.py
-rw-r--r-- root/root 157 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scalar/
-rw-r--r-- root/root 115 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/__init__.py
-rw-r--r-- root/root 140347 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/basic.py
-rw-r--r-- root/root 24013 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/basic_scipy.py
-rw-r--r-- root/root 3272 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/basic_sympy.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scalar/c_code/
-rw-r--r-- root/root 16670 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/c_code/gamma.c
-rw-r--r-- root/root 2143 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/sharedvar.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scalar/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/tests/__init__.py
-rw-r--r-- root/root 17600 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/tests/test_basic.py
-rw-r--r-- root/root 1050 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/tests/test_basic_sympy.py
-rw-r--r-- root/root 401 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/tests/test_div_future.py
-rw-r--r-- root/root 400 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scalar/tests/test_div_no_future.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scan_module/
-rw-r--r-- root/root 1806 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/__init__.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scan_module/c_code/
-rw-r--r-- root/root 688294 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scan_module/c_code/scan_perform.c
-rw-r--r-- root/root 50511 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan.py
-rw-r--r-- root/root 6918 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan_checkpoints.py
-rw-r--r-- root/root 134842 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan_op.py
-rw-r--r-- root/root 102644 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan_opt.py
-rw-r--r-- root/root 6079 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan_perform_ext.py
-rw-r--r-- root/root 49881 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan_utils.py
-rw-r--r-- root/root 5564 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/scan_views.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/scan_module/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/tests/__init__.py
-rw-r--r-- root/root 231097 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/tests/test_scan.py
-rw-r--r-- root/root 3087 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/tests/test_scan_checkpoints.py
-rw-r--r-- root/root 16102 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/tests/test_scan_opt.py
-rw-r--r-- root/root 5762 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/scan_module/tests/test_scan_utils.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sparse/
-rw-r--r-- root/root 838 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/__init__.py
-rw-r--r-- root/root 122164 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/basic.py
-rw-r--r-- root/root 76524 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/opt.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sparse/sandbox/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/sandbox/__init__.py
-rw-r--r-- root/root 17482 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/sandbox/sp.py
-rw-r--r-- root/root 8279 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/sandbox/sp2.py
-rw-r--r-- root/root 9506 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/sandbox/test_sp.py
-rw-r--r-- root/root 662 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/sandbox/truedot.py
-rw-r--r-- root/root 1151 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/sharedvar.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sparse/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/tests/__init__.py
-rw-r--r-- root/root 122408 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/sparse/tests/test_basic.py
-rw-r--r-- root/root 6670 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/tests/test_opt.py
-rw-r--r-- root/root 4594 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/tests/test_sp2.py
-rw-r--r-- root/root 228 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/tests/test_type.py
-rw-r--r-- root/root 1808 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/tests/test_utils.py
-rw-r--r-- root/root 6535 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/type.py
-rw-r--r-- root/root 912 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/sparse/utils.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/
-rw-r--r-- root/root 1831 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/__init__.py
-rw-r--r-- root/root 233256 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/basic.py
-rw-r--r-- root/root 92970 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/blas.py
-rw-r--r-- root/root 26587 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/blas_c.py
-rw-r--r-- root/root 67817 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/blas_headers.py
-rw-r--r-- root/root 2911 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/blas_scipy.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/c_code/
-rw-r--r-- root/root 896 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/c_code/alt_blas_common.h
-rw-r--r-- root/root 16236 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/c_code/alt_blas_template.c
-rw-r--r-- root/root 3617 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/c_code/dimshuffle.c
-rw-r--r-- root/root 83684 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/elemwise.py
-rw-r--r-- root/root 20372 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/elemwise_cgen.py
-rw-r--r-- root/root 46065 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/extra_ops.py
-rw-r--r-- root/root 7443 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/fft.py
-rw-r--r-- root/root 6520 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/fourier.py
-rw-r--r-- root/root 4687 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/inc_code.py
-rw-r--r-- root/root 7688 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/inplace.py
-rw-r--r-- root/root 7586 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/io.py
-rw-r--r-- root/root 23664 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nlinalg.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/nnet/
-rw-r--r-- root/root 11666 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/__init__.py
-rw-r--r-- root/root 142047 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/abstract_conv.py
-rw-r--r-- root/root 9002 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/blocksparse.py
-rw-r--r-- root/root 34737 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/nnet/bn.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/nnet/c_code/
-rw-r--r-- root/root 18982 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/c_code/corr3d_gemm.c
-rw-r--r-- root/root 26583 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/c_code/corr_gemm.c
-rw-r--r-- root/root 8195 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/c_code/ctc_wrapper.c
-rw-r--r-- root/root 93791 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/conv.py
-rw-r--r-- root/root 9665 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/conv3d2d.py
-rw-r--r-- root/root 40434 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/corr.py
-rw-r--r-- root/root 36159 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/corr3d.py
-rw-r--r-- root/root 8184 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/ctc.py
-rw-r--r-- root/root 35100 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/neighbours.py
-rw-r--r-- root/root 93499 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/nnet.py
-rw-r--r-- root/root 18991 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/opt.py
-rw-r--r-- root/root 33938 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/sigm.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/
-rw-r--r-- root/root 65 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/__init__.py
-rw-r--r-- root/root 14020 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/speed_test_conv.py
-rw-r--r-- root/root 102748 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_abstract_conv.py
-rw-r--r-- root/root 10671 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py
-rw-r--r-- root/root 24022 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_bn.py
-rw-r--r-- root/root 26234 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_conv.py
-rw-r--r-- root/root 7106 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py
-rw-r--r-- root/root 21524 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_corr.py
-rw-r--r-- root/root 20919 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_corr3d.py
-rw-r--r-- root/root 6157 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_ctc.py
-rw-r--r-- root/root 24528 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_neighbours.py
-rw-r--r-- root/root 67774 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_nnet.py
-rw-r--r-- root/root 1752 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_opt.py
-rw-r--r-- root/root 20554 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/nnet/tests/test_sigm.py
-rw-r--r-- root/root 302246 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/opt.py
-rw-r--r-- root/root 9495 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/opt_uncanonicalize.py
-rw-r--r-- root/root 38996 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/raw_random.py
-rw-r--r-- root/root 4939 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/shared_randomstreams.py
-rw-r--r-- root/root 3776 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/sharedvar.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/signal/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/__init__.py
-rw-r--r-- root/root 3695 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/conv.py
-rw-r--r-- root/root 98094 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/pool.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/signal/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/tests/__init__.py
-rw-r--r-- root/root 31817 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/tests/old_pool_interface.pkl
-rw-r--r-- root/root 4258 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/tests/test_conv.py
-rw-r--r-- root/root 51317 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/signal/tests/test_pool.py
-rw-r--r-- root/root 17224 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/slinalg.py
-rw-r--r-- root/root 18209 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/sort.py
-rw-r--r-- root/root 88155 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/subtensor.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/__init__.py
-rw-r--r-- root/root 1489 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py
-rw-r--r-- root/root 12894 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/mlp_test.py
-rw-r--r-- root/root 329284 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_basic.py
-rw-r--r-- root/root 90844 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_blas.py
-rw-r--r-- root/root 15039 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_blas_c.py
-rw-r--r-- root/root 2641 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_blas_scipy.py
-rw-r--r-- root/root 4218 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_casting.py
-rw-r--r-- root/root 4038 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_complex.py
-rw-r--r-- root/root 54965 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_elemwise.py
-rw-r--r-- root/root 41544 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_extra_ops.py
-rw-r--r-- root/root 6575 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_fft.py
-rw-r--r-- root/root 2392 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_fourier.py
-rw-r--r-- root/root 4211 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_gc.py
-rw-r--r-- root/root 5631 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_inc_subtensor.py
-rw-r--r-- root/root 2112 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_io.py
-rw-r--r-- root/root 5107 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_keepdims.py
-rw-r--r-- root/root 2229 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_merge.py
-rw-r--r-- root/root 2995 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_misc.py
-rw-r--r-- root/root 3210 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_mpi.py
-rw-r--r-- root/root 19802 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_nlinalg.py
-rw-r--r-- root/root 284755 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_opt.py
-rw-r--r-- root/root 6942 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py
-rw-r--r-- root/root 47215 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_raw_random.py
-rw-r--r-- root/root 31499 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_shared_randomstreams.py
-rw-r--r-- root/root 27441 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_sharedvar.py
-rw-r--r-- root/root 15181 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_slinalg.py
-rw-r--r-- root/root 17585 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_sort.py
-rw-r--r-- root/root 83761 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_subtensor.py
-rw-r--r-- root/root 1416 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_type_other.py
-rw-r--r-- root/root 2516 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_utils.py
-rw-r--r-- root/root 2782 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_var.py
-rw-r--r-- root/root 1218 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/tests/test_xlogx.py
-rw-r--r-- root/root 31044 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/type.py
-rw-r--r-- root/root 3895 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/type_other.py
-rw-r--r-- root/root 3144 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/utils.py
-rw-r--r-- root/root 35803 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tensor/var.py
-rw-r--r-- root/root 1940 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tensor/xlogx.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tests/
-rw-r--r-- root/root 157 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/__init__.py
-rw-r--r-- root/root 6041 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/breakpoint.py
-rw-r--r-- root/root 752 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/disturb_mem.py
-rw-r--r-- root/root 2119 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/diverse_tests.py
-rw-r--r-- root/root 6222 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/main.py
-rw-r--r-- root/root 9106 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/record.py
-rw-r--r-- root/root 15078 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tests/run_tests_in_batch.py
-rw-r--r-- root/root 5369 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_2nd_order_grads.py
-rw-r--r-- root/root 3113 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_breakpoint.py
-rw-r--r-- root/root 1492 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_config.py
-rw-r--r-- root/root 2478 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/tests/test_determinism.py
-rw-r--r-- root/root 3977 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_dictionary_output.py
-rw-r--r-- root/root 6877 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_flake8.py
-rw-r--r-- root/root 27775 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_gradient.py
-rw-r--r-- root/root 19028 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_ifelse.py
-rw-r--r-- root/root 2899 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_pickle_unpickle_theano_fn.py
-rw-r--r-- root/root 24897 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_printing.py
-rw-r--r-- root/root 4251 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_record.py
-rw-r--r-- root/root 17055 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_rop.py
-rw-r--r-- root/root 1640 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/test_updates.py
-rw-r--r-- root/root 16913 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/tests/unittest_tools.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/typed_list/
-rw-r--r-- root/root 136 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/__init__.py
-rw-r--r-- root/root 17747 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/basic.py
-rw-r--r-- root/root 822 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/opt.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/lib/python3/dist-packages/theano/typed_list/tests/
-rw-r--r-- root/root 0 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/tests/__init__.py
-rw-r--r-- root/root 18900 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/tests/test_basic.py
-rw-r--r-- root/root 5192 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/tests/test_opt.py
-rw-r--r-- root/root 6138 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/tests/test_type.py
-rw-r--r-- root/root 3935 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/typed_list/type.py
-rw-r--r-- root/root 3468 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/updates.py
-rw-r--r-- root/root 627 2019-01-15 21:13 ./usr/lib/python3/dist-packages/theano/version.py
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/share/
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/share/doc/
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/share/doc/python3-theano/
-rw-r--r-- root/root 451 2018-12-02 14:13 ./usr/share/doc/python3-theano/NEWS.Debian.gz
-rw-r--r-- root/root 43622 2020-04-02 17:48 ./usr/share/doc/python3-theano/NEWS.gz
-rw-r--r-- root/root 10795 2020-04-02 17:48 ./usr/share/doc/python3-theano/README.html
-rw-r--r-- root/root 3724 2020-04-02 17:48 ./usr/share/doc/python3-theano/changelog.Debian.gz
-rw-r--r-- root/root 11036 2018-12-09 15:31 ./usr/share/doc/python3-theano/copyright
drwxr-xr-x root/root 0 2020-04-02 17:48 ./usr/share/python3-theano/
-rwxr-xr-x root/root 389 2020-04-02 17:48 ./usr/share/python3-theano/theano-cache
-rwxr-xr-x root/root 387 2020-04-02 17:48 ./usr/share/python3-theano/theano-nose
+------------------------------------------------------------------------------+
| Post Build |
+------------------------------------------------------------------------------+
+------------------------------------------------------------------------------+
| Cleanup |
+------------------------------------------------------------------------------+
Purging /<<BUILDDIR>>
Not cleaning session: cloned chroot in use
+------------------------------------------------------------------------------+
| Summary |
+------------------------------------------------------------------------------+
Build Architecture: armhf
Build Type: any
Build-Space: 1168956
Build-Time: 44959
Distribution: bullseye-staging
Host Architecture: armhf
Install-Time: 2004
Job: theano_1.0.4+dfsg-2
Machine Architecture: armhf
Package: theano
Package-Time: 47040
Source-Version: 1.0.4+dfsg-2
Space: 1168956
Status: successful
Version: 1.0.4+dfsg-2
--------------------------------------------------------------------------------
Finished at 2020-04-06T03:05:48Z
Build needed 13:04:00, 1168956k disk space