https://launchpad.net/ubuntu/+archive/test-rebuild-20220617-kinetic/+build/24080442 RUN: /usr/share/launchpad-buildd/bin/builder-prep Kernel version: Linux lgw01-amd64-048 5.4.0-120-generic #136-Ubuntu SMP Fri Jun 10 13:40:48 UTC 2022 x86_64 Buildd toolchain package versions: launchpad-buildd_215~563~ubuntu20.04.1 python3-lpbuildd_215~563~ubuntu20.04.1 sbuild_0.79.0-1ubuntu1 git-build-recipe_0.3.6 git_1:2.25.1-1ubuntu3.4 dpkg-dev_1.19.7ubuntu3.2 python3-debian_0.1.36ubuntu1. Syncing the system clock with the buildd NTP service... 23 Jun 19:43:45 ntpdate[1844]: adjust time server 10.211.37.1 offset 0.001804 sec RUN: /usr/share/launchpad-buildd/bin/in-target unpack-chroot --backend=chroot --series=kinetic --arch=amd64 PACKAGEBUILD-24080442 --image-type chroot /home/buildd/filecache-default/4d18961cd05542d5def75b14497015b674c37821 Creating target for build PACKAGEBUILD-24080442 RUN: /usr/share/launchpad-buildd/bin/in-target mount-chroot --backend=chroot --series=kinetic --arch=amd64 PACKAGEBUILD-24080442 Starting target for build PACKAGEBUILD-24080442 RUN: /usr/share/launchpad-buildd/bin/in-target override-sources-list --backend=chroot --series=kinetic --arch=amd64 PACKAGEBUILD-24080442 'deb http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic main' 'deb http://ftpmaster.internal/ubuntu kinetic main universe' Overriding sources.list in build-PACKAGEBUILD-24080442 RUN: /usr/share/launchpad-buildd/bin/in-target add-trusted-keys --backend=chroot --series=kinetic --arch=amd64 PACKAGEBUILD-24080442 Adding trusted keys to build-PACKAGEBUILD-24080442 pub rsa1024/1E9377A2BA9EF27F 2009-10-22 [SC] Key fingerprint = 60C3 1780 3A41 BA51 845E 371A 1E93 77A2 BA9E F27F uid Launchpad Toolchain builds RUN: /usr/share/launchpad-buildd/bin/in-target update-debian-chroot --backend=chroot --series=kinetic --arch=amd64 PACKAGEBUILD-24080442 Updating target for build PACKAGEBUILD-24080442 Get:1 http://ftpmaster.internal/ubuntu kinetic InRelease [267 kB] Get:2 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic InRelease [23.8 kB] Get:3 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 Packages [9632 B] Get:4 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main Translation-en [4132 B] Get:5 http://ftpmaster.internal/ubuntu kinetic/main amd64 Packages [1398 kB] Get:6 http://ftpmaster.internal/ubuntu kinetic/main Translation-en [510 kB] Get:7 http://ftpmaster.internal/ubuntu kinetic/universe amd64 Packages [13.9 MB] Get:8 http://ftpmaster.internal/ubuntu kinetic/universe Translation-en [5730 kB] Fetched 21.8 MB in 3s (7325 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following NEW packages will be installed: libgprofng0 util-linux-extra The following packages will be upgraded: adduser apt base-files binutils binutils-common binutils-x86-64-linux-gnu bsdutils cpp-11 dash dpkg dpkg-dev e2fsprogs fakeroot g++-11 gcc-11 gcc-11-base gcc-12-base init init-system-helpers libapparmor1 libapt-pkg6.0 libasan6 libatomic1 libbinutils libblkid1 libcap-ng0 libcc1-0 libcom-err2 libctf-nobfd0 libctf0 libdb5.3 libdpkg-perl libext2fs2 libfakeroot libgcc-11-dev libgcc-s1 libgcrypt20 libgnutls30 libgomp1 libgpg-error0 libip4tc2 libitm1 libkeyutils1 liblsan0 liblzma5 libmount1 libncurses6 libncursesw6 libpng16-16 libquadmath0 libreadline8 libselinux1 libsemanage-common libsemanage2 libsepol2 libsmartcols1 libsqlite3-0 libss2 libssl3 libstdc++-11-dev libstdc++6 libsystemd0 libtinfo6 libtsan0 libubsan1 libudev1 libuuid1 libzstd1 login logsave lto-disabled-list mawk mount ncurses-base ncurses-bin openssl passwd pinentry-curses policyrcd-script-zg2 readline-common systemd systemd-sysv util-linux xz-utils 84 upgraded, 2 newly installed, 0 to remove and 0 not upgraded. Need to get 79.8 MB of archives. After this operation, 5324 kB of additional disk space will be used. Get:1 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 libctf0 amd64 2.38.50.20220615-4ubuntu1 [103 kB] Get:2 http://ftpmaster.internal/ubuntu kinetic/main amd64 base-files amd64 12.2ubuntu1 [62.6 kB] Get:3 http://ftpmaster.internal/ubuntu kinetic/main amd64 bsdutils amd64 1:2.38-4ubuntu1 [80.7 kB] Get:4 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 libctf-nobfd0 amd64 2.38.50.20220615-4ubuntu1 [107 kB] Get:5 http://ftpmaster.internal/ubuntu kinetic/main amd64 libzstd1 amd64 1.5.2+dfsg-1 [270 kB] Get:6 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 binutils-x86-64-linux-gnu amd64 2.38.50.20220615-4ubuntu1 [2476 kB] Get:7 http://ftpmaster.internal/ubuntu kinetic/main amd64 libatomic1 amd64 12.1.0-2ubuntu1 [10.4 kB] Get:8 http://ftpmaster.internal/ubuntu kinetic/main amd64 libubsan1 amd64 12.1.0-2ubuntu1 [969 kB] Get:9 http://ftpmaster.internal/ubuntu kinetic/main amd64 libquadmath0 amd64 12.1.0-2ubuntu1 [152 kB] Get:10 http://ftpmaster.internal/ubuntu kinetic/main amd64 liblsan0 amd64 12.1.0-2ubuntu1 [1060 kB] Get:11 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 libbinutils amd64 2.38.50.20220615-4ubuntu1 [655 kB] Get:12 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 binutils amd64 2.38.50.20220615-4ubuntu1 [3292 B] Get:13 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 binutils-common amd64 2.38.50.20220615-4ubuntu1 [224 kB] Get:14 http://ppa.launchpadcontent.net/ubuntu-toolchain-r/binutils/ubuntu kinetic/main amd64 libgprofng0 amd64 2.38.50.20220615-4ubuntu1 [963 kB] Get:15 http://ftpmaster.internal/ubuntu kinetic/main amd64 libitm1 amd64 12.1.0-2ubuntu1 [29.5 kB] Get:16 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgomp1 amd64 12.1.0-2ubuntu1 [125 kB] Get:17 http://ftpmaster.internal/ubuntu kinetic/main amd64 gcc-12-base amd64 12.1.0-2ubuntu1 [18.8 kB] Get:18 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgcc-s1 amd64 12.1.0-2ubuntu1 [54.2 kB] Get:19 http://ftpmaster.internal/ubuntu kinetic/main amd64 libcc1-0 amd64 12.1.0-2ubuntu1 [46.6 kB] Get:20 http://ftpmaster.internal/ubuntu kinetic/main amd64 libstdc++6 amd64 12.1.0-2ubuntu1 [679 kB] Get:21 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgpg-error0 amd64 1.45-2 [69.0 kB] Get:22 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgcrypt20 amd64 1.10.1-2ubuntu1 [524 kB] Get:23 http://ftpmaster.internal/ubuntu kinetic/main amd64 liblzma5 amd64 5.2.5-2.1 [99.2 kB] Get:24 http://ftpmaster.internal/ubuntu kinetic/main amd64 systemd-sysv amd64 249.11-0ubuntu4 [10.2 kB] Get:25 http://ftpmaster.internal/ubuntu kinetic/main amd64 libapparmor1 amd64 3.0.4-2ubuntu3 [38.0 kB] Get:26 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgnutls30 amd64 3.7.6-2ubuntu1 [968 kB] Get:27 http://ftpmaster.internal/ubuntu kinetic/main amd64 libip4tc2 amd64 1.8.7-1ubuntu6 [19.7 kB] Get:28 http://ftpmaster.internal/ubuntu kinetic/main amd64 libblkid1 amd64 2.38-4ubuntu1 [103 kB] Get:29 http://ftpmaster.internal/ubuntu kinetic/main amd64 libselinux1 amd64 3.4-1 [77.6 kB] Get:30 http://ftpmaster.internal/ubuntu kinetic/main amd64 libmount1 amd64 2.38-4ubuntu1 [121 kB] Get:31 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsmartcols1 amd64 2.38-4ubuntu1 [50.8 kB] Get:32 http://ftpmaster.internal/ubuntu kinetic/main amd64 login amd64 1:4.11.1+dfsg1-2ubuntu1 [183 kB] Get:33 http://ftpmaster.internal/ubuntu kinetic/main amd64 util-linux-extra amd64 2.38-4ubuntu1 [83.8 kB] Get:34 http://ftpmaster.internal/ubuntu kinetic/main amd64 util-linux amd64 2.38-4ubuntu1 [1069 kB] Get:35 http://ftpmaster.internal/ubuntu kinetic/main amd64 mount amd64 2.38-4ubuntu1 [114 kB] Get:36 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsemanage-common all 3.4-1 [9828 B] Get:37 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsepol2 amd64 3.4-2 [294 kB] Get:38 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsemanage2 amd64 3.4-1 [91.8 kB] Get:39 http://ftpmaster.internal/ubuntu kinetic/main amd64 passwd amd64 1:4.11.1+dfsg1-2ubuntu1 [765 kB] Get:40 http://ftpmaster.internal/ubuntu kinetic/main amd64 adduser all 3.121ubuntu1 [150 kB] Get:41 http://ftpmaster.internal/ubuntu kinetic/main amd64 systemd amd64 249.11-0ubuntu4 [4517 kB] Get:42 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsystemd0 amd64 249.11-0ubuntu4 [314 kB] Get:43 http://ftpmaster.internal/ubuntu kinetic/main amd64 libudev1 amd64 249.11-0ubuntu4 [76.1 kB] Get:44 http://ftpmaster.internal/ubuntu kinetic/main amd64 libapt-pkg6.0 amd64 2.5.0 [896 kB] Get:45 http://ftpmaster.internal/ubuntu kinetic/main amd64 dpkg amd64 1.21.8ubuntu1 [1333 kB] Get:46 http://ftpmaster.internal/ubuntu kinetic/main amd64 dash amd64 0.5.11+git20210903+057cd650a4ed-8ubuntu1 [88.2 kB] Get:47 http://ftpmaster.internal/ubuntu kinetic/main amd64 ncurses-bin amd64 6.3+20220423-2 [183 kB] Get:48 http://ftpmaster.internal/ubuntu kinetic/main amd64 init-system-helpers all 1.63 [38.7 kB] Get:49 http://ftpmaster.internal/ubuntu kinetic/main amd64 ncurses-base all 6.3+20220423-2 [21.2 kB] Get:50 http://ftpmaster.internal/ubuntu kinetic/main amd64 apt amd64 2.5.0 [1370 kB] Get:51 http://ftpmaster.internal/ubuntu kinetic/main amd64 logsave amd64 1.46.5-2ubuntu2 [9914 B] Get:52 http://ftpmaster.internal/ubuntu kinetic/main amd64 libext2fs2 amd64 1.46.5-2ubuntu2 [205 kB] Get:53 http://ftpmaster.internal/ubuntu kinetic/main amd64 e2fsprogs amd64 1.46.5-2ubuntu2 [585 kB] Get:54 http://ftpmaster.internal/ubuntu kinetic/main amd64 init amd64 1.63 [5674 B] Get:55 http://ftpmaster.internal/ubuntu kinetic/main amd64 libcap-ng0 amd64 0.8.3-1 [15.7 kB] Get:56 http://ftpmaster.internal/ubuntu kinetic/main amd64 libdb5.3 amd64 5.3.28+dfsg1-0.9 [717 kB] Get:57 http://ftpmaster.internal/ubuntu kinetic/main amd64 libncurses6 amd64 6.3+20220423-2 [110 kB] Get:58 http://ftpmaster.internal/ubuntu kinetic/main amd64 libncursesw6 amd64 6.3+20220423-2 [146 kB] Get:59 http://ftpmaster.internal/ubuntu kinetic/main amd64 libtinfo6 amd64 6.3+20220423-2 [99.6 kB] Get:60 http://ftpmaster.internal/ubuntu kinetic/main amd64 libuuid1 amd64 2.38-4ubuntu1 [23.2 kB] Get:61 http://ftpmaster.internal/ubuntu kinetic/main amd64 libcom-err2 amd64 1.46.5-2ubuntu2 [9074 B] Get:62 http://ftpmaster.internal/ubuntu kinetic/main amd64 libss2 amd64 1.46.5-2ubuntu2 [12.3 kB] Get:63 http://ftpmaster.internal/ubuntu kinetic/main amd64 mawk amd64 1.3.4.20200120-3.1 [109 kB] Get:64 http://ftpmaster.internal/ubuntu kinetic/main amd64 libkeyutils1 amd64 1.6.1-3ubuntu1 [10.1 kB] Get:65 http://ftpmaster.internal/ubuntu kinetic/main amd64 readline-common all 8.1.2-1.2 [53.6 kB] Get:66 http://ftpmaster.internal/ubuntu kinetic/main amd64 libreadline8 amd64 8.1.2-1.2 [153 kB] Get:67 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsqlite3-0 amd64 3.38.5-1 [646 kB] 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http://ftpmaster.internal/ubuntu kinetic/main amd64 cpp-11 amd64 11.3.0-3ubuntu1 [9910 kB] Get:79 http://ftpmaster.internal/ubuntu kinetic/main amd64 gcc-11-base amd64 11.3.0-3ubuntu1 [20.8 kB] Get:80 http://ftpmaster.internal/ubuntu kinetic/main amd64 dpkg-dev all 1.21.8ubuntu1 [1069 kB] Get:81 http://ftpmaster.internal/ubuntu kinetic/main amd64 libdpkg-perl all 1.21.8ubuntu1 [237 kB] Get:82 http://ftpmaster.internal/ubuntu kinetic/main amd64 lto-disabled-list all 27 [12.4 kB] Get:83 http://ftpmaster.internal/ubuntu kinetic/main amd64 libfakeroot amd64 1.29-1ubuntu1 [31.1 kB] Get:84 http://ftpmaster.internal/ubuntu kinetic/main amd64 fakeroot amd64 1.29-1ubuntu1 [60.0 kB] Get:85 http://ftpmaster.internal/ubuntu kinetic/main amd64 pinentry-curses amd64 1.2.0-1ubuntu1 [34.5 kB] Get:86 http://ftpmaster.internal/ubuntu kinetic/main amd64 policyrcd-script-zg2 all 0.1-3.1 [5730 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 79.8 MB in 2s (32.6 MB/s) 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Setting up libstdc++-11-dev:amd64 (11.3.0-3ubuntu1) ... Setting up gcc-11 (11.3.0-3ubuntu1) ... Setting up g++-11 (11.3.0-3ubuntu1) ... Processing triggers for debianutils (5.7-0.2) ... Processing triggers for libc-bin (2.35-0ubuntu3) ... RUN: /usr/share/launchpad-buildd/bin/sbuild-package PACKAGEBUILD-24080442 amd64 kinetic -c chroot:build-PACKAGEBUILD-24080442 --arch=amd64 --dist=kinetic --nolog -A theano_1.0.5+dfsg-5.dsc Initiating build PACKAGEBUILD-24080442 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 5.4.0-120-generic #136-Ubuntu SMP Fri Jun 10 13:40:48 UTC 2022 x86_64 sbuild (Debian sbuild) 0.79.0 (05 February 2020) on lgw01-amd64-048.buildd +==============================================================================+ | theano 1.0.5+dfsg-5 (amd64) Thu, 23 Jun 2022 19:44:07 +0000 | +==============================================================================+ Package: theano Version: 1.0.5+dfsg-5 Source Version: 1.0.5+dfsg-5 Distribution: kinetic Machine Architecture: amd64 Host Architecture: amd64 Build Architecture: amd64 Build Type: binary I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-24080442/chroot-autobuild' with '<>' I: NOTICE: Log filtering will replace 'build/theano-Auj3EC/resolver-giuOHX' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- theano_1.0.5+dfsg-5.dsc exists in .; copying to chroot I: NOTICE: Log filtering will replace 'build/theano-Auj3EC/theano-1.0.5+dfsg' with '<>' I: NOTICE: Log filtering will replace 'build/theano-Auj3EC' with '<>' +------------------------------------------------------------------------------+ | Install package build dependencies | +------------------------------------------------------------------------------+ Setup apt archive ----------------- Merged Build-Depends: debhelper-compat (= 13), dh-python, cython3, python3-dev, python3-setuptools, python3-six, libblas-dev, python3-numpy, python3-scipy, python3-nose, python3-parameterized, python3-pydot, python3-sympy, graphviz, python3-docutils, node-browserify-lite, terser, node-pegjs, node-graphlibrary, node-dagre-d3-renderer, node-lodash, node-istanbul, mocha, chai, libjs-d3, build-essential, fakeroot, dh-sequence-sphinxdoc, python3-sphinx, python3-sphinx-rtd-theme, python3-pygments, dvipng, texlive-latex-extra, texlive-fonts-recommended, tex-gyre, fonts-texgyre, latexmk, rdfind, symlinks, jupyter-nbconvert, python3-ipykernel Filtered Build-Depends: debhelper-compat (= 13), dh-python, cython3, python3-dev, python3-setuptools, python3-six, libblas-dev, python3-numpy, python3-scipy, python3-nose, python3-parameterized, python3-pydot, python3-sympy, graphviz, python3-docutils, node-browserify-lite, terser, node-pegjs, node-graphlibrary, node-dagre-d3-renderer, node-lodash, node-istanbul, mocha, chai, libjs-d3, build-essential, fakeroot, dh-sequence-sphinxdoc, python3-sphinx, python3-sphinx-rtd-theme, python3-pygments, dvipng, texlive-latex-extra, texlive-fonts-recommended, tex-gyre, fonts-texgyre, latexmk, rdfind, symlinks, jupyter-nbconvert, python3-ipykernel dpkg-deb: building package 'sbuild-build-depends-main-dummy' in '/<>/apt_archive/sbuild-build-depends-main-dummy.deb'. Ign:1 copy:/<>/apt_archive ./ InRelease Get:2 copy:/<>/apt_archive ./ Release [963 B] Ign:3 copy:/<>/apt_archive ./ Release.gpg Get:4 copy:/<>/apt_archive ./ Sources [650 B] Get:5 copy:/<>/apt_archive ./ Packages [721 B] Fetched 2334 B in 0s (78.9 kB/s) Reading package lists... Reading package lists... Install main build dependencies (apt-based resolver) ---------------------------------------------------- Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following additional packages will be installed: autoconf automake autopoint autotools-dev bsdextrautils chai cython3 debhelper debugedit 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-texgyre fonts-urw-base35 gettext gettext-base ghostscript graphviz groff-base handlebars intltool-debian jupyter-core jupyter-nbconvert latexmk libann0 libapache-pom-java libarchive-zip-perl libavahi-client3 libavahi-common-data libavahi-common3 libblas-dev libblas3 libboost-dev libboost1.74-dev libbrotli1 libbsd0 libc-ares2 libcairo2 libcdt5 libcgraph6 libcommons-logging-java libcommons-parent-java libcups2 libdatrie1 libdbus-1-3 libdebhelper-perl libdeflate0 libdw1 libelf1 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontbox-java libfontconfig1 libfontenc1 libfreetype6 libfribidi0 libgd3 libgdk-pixbuf-2.0-0 libgdk-pixbuf2.0-common libgfortran5 libglib2.0-0 libgraphite2-3 libgs9 libgs9-common libgts-0.7-5 libgvc6 libgvpr2 libharfbuzz0b libice6 libicu71 libidn12 libijs-0.35 libjbig0 libjbig2dec0 libjpeg-turbo8 libjpeg8 libjs-async libjs-d3 libjs-d3-format libjs-inherits libjs-jquery libjs-prettify libjs-regenerate libjs-source-map libjs-sphinxdoc libjs-sprintf-js libjs-terser libjs-underscore libjs-util libjson-perl libkpathsea6 liblab-gamut1 liblapack3 liblbfgsb0 libltdl7 libmagic-mgc libmagic1 libmd0 libmpdec3 libnghttp2-14 libnode93 libnorm1 libnotify-bin libnotify4 libopenjp2-7 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpaper-utils libpaper1 libpathplan4 libpdfbox-java libpgm-5.3-0 libpipeline1 libpixman-1-0 libptexenc1 libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.10 libpython3.10-dev libpython3.10-minimal libpython3.10-stdlib libsigsegv2 libsm6 libsodium23 libsub-override-perl libsynctex2 libteckit0 libtexlua53-5 libtexluajit2 libthai-data libthai0 libtiff5 libtool libuchardet0 libuv1 libwebp7 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxi6 libxml2 libxmu6 libxpm4 libxrender1 libxsimd-dev libxt6 libzmq5 libzzip-0-13 m4 man-db media-types mocha node-abbrev node-ansi-colors node-ansi-regex node-ansi-styles node-anymatch node-archy node-argparse node-arrify node-assert node-assertion-error node-async node-async-each node-babel7 node-babel7-runtime node-balanced-match node-binary-extensions node-brace-expansion node-braces node-browser-stdout node-browserify-lite node-browserslist node-camelcase node-caniuse-lite node-chalk node-check-error node-chokidar node-ci-info node-cliui node-clone node-color-convert node-color-name node-commander node-commondir node-convert-source-map node-core-js node-core-util-is node-d3 node-d3-array node-d3-axis node-d3-brush node-d3-chord node-d3-collection node-d3-color node-d3-contour node-d3-dispatch node-d3-drag node-d3-dsv node-d3-ease node-d3-fetch node-d3-force node-d3-format node-d3-geo node-d3-hierarchy node-d3-interpolate node-d3-path node-d3-polygon node-d3-quadtree node-d3-queue node-d3-random node-d3-scale node-d3-scale-chromatic node-d3-selection node-d3-shape node-d3-time node-d3-time-format node-d3-timer node-d3-transition node-d3-voronoi node-d3-zoom node-dagre-d3-renderer node-dagre-layout node-debbundle-es-to-primitive node-debug node-decamelize node-deep-eql node-deep-equal node-deep-is node-defaults node-define-properties node-del node-diff node-electron-to-chromium node-error-ex node-es-abstract node-es6-error node-escape-string-regexp node-escodegen node-esprima node-estraverse node-esutils node-fast-levenshtein node-fill-range node-find-cache-dir node-find-up node-foreground-child node-fs-readdir-recursive node-fs.realpath node-function-bind node-get-caller-file node-get-func-name node-glob node-glob-parent node-globals node-globby node-graceful-fs node-graphlibrary node-growl node-has-flag node-he node-hosted-git-info node-iconv-lite node-ignore node-imurmurhash node-indent-string node-inflight node-inherits node-is-arrayish node-is-binary-path node-is-buffer node-is-extglob node-is-glob node-is-number node-is-path-cwd node-is-path-inside node-is-plain-obj node-is-stream node-is-windows node-isarray node-isexe node-isobject node-istanbul node-js-tokens node-js-yaml node-jsesc node-json-parse-better-errors node-json5 node-kind-of node-levn node-locate-path node-lodash node-lodash-packages node-lru-cache node-make-dir node-micromatch node-minimatch node-minimist node-mkdirp node-ms node-n3 node-neo-async node-nopt node-normalize-package-data node-normalize-path node-npm-run-path node-object-assign node-object-inspect node-once node-optimist node-optionator node-p-limit node-p-locate node-p-map node-parse-json node-path-dirname node-path-exists node-path-is-absolute node-path-is-inside node-path-type node-pathval node-pegjs node-pend node-picocolors node-pify node-pkg-dir node-postcss node-prelude-ls node-process-nextick-args node-quick-lru node-randombytes node-read-pkg node-readable-stream node-readdirp node-regenerate node-regenerate-unicode-properties node-regenerator-runtime node-regenerator-transform node-regexpu-core node-regjsgen node-regjsparser node-repeat-string node-require-directory node-resolve node-resolve-from node-rimraf node-rw node-safe-buffer node-semver node-serialize-javascript node-set-immediate-shim node-shebang-command node-shebang-regex node-signal-exit node-slash node-slice-ansi node-source-map node-source-map-support node-spdx-correct node-spdx-exceptions node-spdx-expression-parse node-spdx-license-ids node-sprintf-js node-string-decoder node-string-width node-strip-ansi node-strip-bom node-strip-json-comments node-supports-color node-terser node-to-fast-properties node-to-regex-range node-type-check node-type-detect node-unicode-canonical-property-names-ecmascript node-unicode-match-property-ecmascript node-unicode-match-property-value-ecmascript node-unicode-property-aliases-ecmascript node-util node-util-deprecate node-uuid node-v8flags node-validate-npm-package-license node-wcwidth.js node-which node-wide-align node-wordwrap node-wrap-ansi node-wrappy node-write-file-atomic node-y18n node-yallist node-yargs node-yargs-parser nodejs po-debconf poppler-data preview-latex-style python-babel-localedata python3 python3-alabaster python3-all python3-all-dev python3-attr python3-babel python3-backcall python3-beniget python3-bleach python3-bs4 python3-certifi python3-cffi-backend python3-chardet python3-dateutil python3-decorator python3-defusedxml python3-dev python3-distutils python3-docutils python3-entrypoints python3-fastjsonschema python3-gast python3-html5lib python3-idna python3-imagesize python3-importlib-metadata python3-ipykernel python3-ipython python3-jedi python3-jinja2 python3-jsonschema python3-jupyter-client python3-jupyter-core python3-jupyterlab-pygments python3-lib2to3 python3-markupsafe python3-matplotlib-inline python3-minimal python3-more-itertools python3-mpmath python3-nbclient python3-nbconvert python3-nbformat python3-nest-asyncio python3-nose python3-numpy python3-packaging python3-pandocfilters python3-parameterized python3-parso python3-pexpect python3-pickleshare python3-pkg-resources python3-ply python3-prompt-toolkit python3-psutil python3-ptyprocess python3-py python3-pydot python3-pygments python3-pyparsing python3-pyrsistent python3-pythran python3-requests python3-roman python3-scipy python3-setuptools python3-six python3-snowballstemmer python3-soupsieve python3-sphinx python3-sphinx-rtd-theme python3-sympy python3-testpath python3-tornado python3-traitlets python3-tz python3-urllib3 python3-wcwidth python3-webencodings python3-zipp python3-zmq python3.10 python3.10-dev python3.10-minimal rdfind sgml-base shared-mime-info sphinx-common sphinx-rtd-theme-common symlinks t1utils tex-common tex-gyre texlive-base texlive-binaries texlive-fonts-recommended texlive-latex-base texlive-latex-extra texlive-latex-recommended texlive-pictures ucf uglifyjs.terser x11-common xdg-utils xfonts-encodings xfonts-utils xml-core zlib1g-dev Suggested packages: autoconf-archive gnu-standards autoconf-doc cython-doc dh-make flit python3-build python3-tomli python3-installer fonts-freefont-otf | fonts-freefont-ttf gettext-doc libasprintf-dev libgettextpo-dev ghostscript-x gsfonts graphviz-doc groff liblapack-doc libboost-doc libboost1.74-doc libboost-atomic1.74-dev libboost-chrono1.74-dev libboost-container1.74-dev libboost-context1.74-dev libboost-contract1.74-dev libboost-coroutine1.74-dev libboost-date-time1.74-dev libboost-exception1.74-dev libboost-fiber1.74-dev libboost-filesystem1.74-dev libboost-graph1.74-dev libboost-graph-parallel1.74-dev libboost-iostreams1.74-dev libboost-locale1.74-dev libboost-log1.74-dev libboost-math1.74-dev libboost-mpi1.74-dev libboost-mpi-python1.74-dev libboost-numpy1.74-dev libboost-program-options1.74-dev libboost-python1.74-dev libboost-random1.74-dev libboost-regex1.74-dev libboost-serialization1.74-dev libboost-stacktrace1.74-dev libboost-system1.74-dev libboost-test1.74-dev libboost-thread1.74-dev libboost-timer1.74-dev libboost-type-erasure1.74-dev libboost-wave1.74-dev libboost1.74-tools-dev libmpfrc++-dev libntl-dev libboost-nowide1.74-dev libavalon-framework-java libcommons-logging-java-doc libexcalibur-logkit-java liblog4j1.2-java cups-common libgd-tools libjs-angularjs notification-daemon libtool-doc gfortran | fortran95-compiler gcj-jdk libxsimd-doc m4-doc apparmor less www-browser javascript-common livescript 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 python-fastjsonschema-doc python3-genshi python3-lxml python-ipython-doc python-jinja2-doc python-jsonschema-doc python3-pip python-mpmath-doc python3-gmpy2 python3-matplotlib python-nbconvert-doc texlive-plain-generic texlive-xetex python-nose-doc gfortran python-numpy-doc python3-pytest python-pexpect-doc python-ply-doc python-psutil-doc subversion python-pygments-doc ttf-bitstream-vera python-pyparsing-doc python3-cryptography python3-openssl python3-socks python-requests-doc python-scipy-doc python-setuptools-doc python3-stemmer fonts-freefont-otf imagemagick-6.q16 libjs-mathjax sphinx-doc texlive-fonts-extra python-sympy-doc python3-pycurl python-tornado-doc python3-twisted python3-brotli python3.10-venv python3.10-doc binfmt-support sgml-base-doc perl-tk xpdf | pdf-viewer xzdec texlive-fonts-recommended-doc texlive-latex-base-doc icc-profiles libfile-which-perl texlive-latex-extra-doc texlive-science texlive-latex-recommended-doc texlive-luatex texlive-pstricks dot2tex prerex texlive-pictures-doc vprerex node-acorn Recommended packages: curl | wget | lynx fonts-liberation2 xpdf | pdf-viewer dbus libarchive-cpio-perl libgdk-pixbuf2.0-bin libglib2.0-data xdg-user-dirs fonts-droid-fallback libgts-bin javascript-common libjson-xs-perl libltdl-dev nodejs-doc libmail-sendmail-perl python3-lxml python3-pil python3-matplotlib pandoc isympy-common lmodern dvisvgm tipa libspreadsheet-parseexcel-perl texlive-plain-generic ruby 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 bsdextrautils chai cython3 debhelper debugedit 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-texgyre fonts-urw-base35 gettext gettext-base ghostscript graphviz groff-base handlebars intltool-debian jupyter-core jupyter-nbconvert latexmk libann0 libapache-pom-java libarchive-zip-perl libavahi-client3 libavahi-common-data libavahi-common3 libblas-dev libblas3 libboost-dev libboost1.74-dev libbrotli1 libbsd0 libc-ares2 libcairo2 libcdt5 libcgraph6 libcommons-logging-java libcommons-parent-java libcups2 libdatrie1 libdbus-1-3 libdebhelper-perl libdeflate0 libdw1 libelf1 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontbox-java libfontconfig1 libfontenc1 libfreetype6 libfribidi0 libgd3 libgdk-pixbuf-2.0-0 libgdk-pixbuf2.0-common libgfortran5 libglib2.0-0 libgraphite2-3 libgs9 libgs9-common libgts-0.7-5 libgvc6 libgvpr2 libharfbuzz0b libice6 libicu71 libidn12 libijs-0.35 libjbig0 libjbig2dec0 libjpeg-turbo8 libjpeg8 libjs-async libjs-d3 libjs-d3-format libjs-inherits libjs-jquery libjs-prettify libjs-regenerate libjs-source-map libjs-sphinxdoc libjs-sprintf-js libjs-terser libjs-underscore libjs-util libjson-perl libkpathsea6 liblab-gamut1 liblapack3 liblbfgsb0 libltdl7 libmagic-mgc libmagic1 libmd0 libmpdec3 libnghttp2-14 libnode93 libnorm1 libnotify-bin libnotify4 libopenjp2-7 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpaper-utils libpaper1 libpathplan4 libpdfbox-java libpgm-5.3-0 libpipeline1 libpixman-1-0 libptexenc1 libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.10 libpython3.10-dev libpython3.10-minimal libpython3.10-stdlib libsigsegv2 libsm6 libsodium23 libsub-override-perl libsynctex2 libteckit0 libtexlua53-5 libtexluajit2 libthai-data libthai0 libtiff5 libtool libuchardet0 libuv1 libwebp7 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxi6 libxml2 libxmu6 libxpm4 libxrender1 libxsimd-dev libxt6 libzmq5 libzzip-0-13 m4 man-db media-types mocha node-abbrev node-ansi-colors node-ansi-regex node-ansi-styles node-anymatch node-archy node-argparse node-arrify node-assert node-assertion-error node-async node-async-each node-babel7 node-babel7-runtime node-balanced-match node-binary-extensions node-brace-expansion node-braces node-browser-stdout node-browserify-lite node-browserslist node-camelcase node-caniuse-lite node-chalk node-check-error node-chokidar node-ci-info node-cliui node-clone node-color-convert node-color-name node-commander node-commondir node-convert-source-map node-core-js node-core-util-is node-d3 node-d3-array node-d3-axis node-d3-brush node-d3-chord node-d3-collection node-d3-color node-d3-contour node-d3-dispatch node-d3-drag node-d3-dsv node-d3-ease node-d3-fetch node-d3-force node-d3-format node-d3-geo node-d3-hierarchy node-d3-interpolate node-d3-path node-d3-polygon node-d3-quadtree node-d3-queue node-d3-random node-d3-scale node-d3-scale-chromatic node-d3-selection node-d3-shape node-d3-time node-d3-time-format node-d3-timer node-d3-transition node-d3-voronoi node-d3-zoom node-dagre-d3-renderer node-dagre-layout node-debbundle-es-to-primitive node-debug node-decamelize node-deep-eql node-deep-equal node-deep-is node-defaults node-define-properties node-del node-diff node-electron-to-chromium node-error-ex node-es-abstract node-es6-error node-escape-string-regexp node-escodegen node-esprima node-estraverse node-esutils node-fast-levenshtein node-fill-range node-find-cache-dir node-find-up node-foreground-child node-fs-readdir-recursive node-fs.realpath node-function-bind node-get-caller-file node-get-func-name node-glob node-glob-parent node-globals node-globby node-graceful-fs node-graphlibrary node-growl node-has-flag node-he node-hosted-git-info node-iconv-lite node-ignore node-imurmurhash node-indent-string node-inflight node-inherits node-is-arrayish node-is-binary-path node-is-buffer node-is-extglob node-is-glob node-is-number node-is-path-cwd node-is-path-inside node-is-plain-obj node-is-stream node-is-windows node-isarray node-isexe node-isobject node-istanbul node-js-tokens node-js-yaml node-jsesc node-json-parse-better-errors node-json5 node-kind-of node-levn node-locate-path node-lodash node-lodash-packages node-lru-cache node-make-dir node-micromatch node-minimatch node-minimist node-mkdirp node-ms node-n3 node-neo-async node-nopt node-normalize-package-data node-normalize-path node-npm-run-path node-object-assign node-object-inspect node-once node-optimist node-optionator node-p-limit node-p-locate node-p-map node-parse-json node-path-dirname node-path-exists node-path-is-absolute node-path-is-inside node-path-type node-pathval node-pegjs node-pend node-picocolors node-pify node-pkg-dir node-postcss node-prelude-ls node-process-nextick-args node-quick-lru node-randombytes node-read-pkg node-readable-stream node-readdirp node-regenerate node-regenerate-unicode-properties node-regenerator-runtime node-regenerator-transform node-regexpu-core node-regjsgen node-regjsparser node-repeat-string node-require-directory node-resolve node-resolve-from node-rimraf node-rw node-safe-buffer node-semver node-serialize-javascript node-set-immediate-shim node-shebang-command node-shebang-regex node-signal-exit node-slash node-slice-ansi node-source-map node-source-map-support node-spdx-correct node-spdx-exceptions node-spdx-expression-parse node-spdx-license-ids node-sprintf-js node-string-decoder node-string-width node-strip-ansi node-strip-bom node-strip-json-comments node-supports-color node-terser node-to-fast-properties node-to-regex-range node-type-check node-type-detect node-unicode-canonical-property-names-ecmascript node-unicode-match-property-ecmascript node-unicode-match-property-value-ecmascript node-unicode-property-aliases-ecmascript node-util node-util-deprecate node-uuid node-v8flags node-validate-npm-package-license node-wcwidth.js node-which node-wide-align node-wordwrap node-wrap-ansi node-wrappy node-write-file-atomic node-y18n node-yallist node-yargs node-yargs-parser nodejs po-debconf poppler-data preview-latex-style python-babel-localedata python3 python3-alabaster python3-all python3-all-dev python3-attr python3-babel python3-backcall python3-beniget python3-bleach python3-bs4 python3-certifi python3-cffi-backend python3-chardet python3-dateutil python3-decorator python3-defusedxml python3-dev python3-distutils python3-docutils python3-entrypoints python3-fastjsonschema python3-gast python3-html5lib python3-idna python3-imagesize python3-importlib-metadata python3-ipykernel python3-ipython python3-jedi python3-jinja2 python3-jsonschema python3-jupyter-client python3-jupyter-core python3-jupyterlab-pygments python3-lib2to3 python3-markupsafe python3-matplotlib-inline python3-minimal python3-more-itertools python3-mpmath python3-nbclient python3-nbconvert python3-nbformat python3-nest-asyncio python3-nose python3-numpy python3-packaging python3-pandocfilters python3-parameterized python3-parso python3-pexpect python3-pickleshare python3-pkg-resources python3-ply python3-prompt-toolkit python3-psutil python3-ptyprocess python3-py python3-pydot python3-pygments python3-pyparsing python3-pyrsistent python3-pythran python3-requests python3-roman python3-scipy python3-setuptools python3-six python3-snowballstemmer python3-soupsieve python3-sphinx python3-sphinx-rtd-theme python3-sympy python3-testpath python3-tornado python3-traitlets python3-tz python3-urllib3 python3-wcwidth python3-webencodings python3-zipp python3-zmq python3.10 python3.10-dev python3.10-minimal rdfind sbuild-build-depends-main-dummy sgml-base shared-mime-info sphinx-common sphinx-rtd-theme-common symlinks t1utils tex-common tex-gyre texlive-base texlive-binaries texlive-fonts-recommended texlive-latex-base texlive-latex-extra texlive-latex-recommended texlive-pictures ucf uglifyjs.terser x11-common xdg-utils xfonts-encodings xfonts-utils xml-core zlib1g-dev 0 upgraded, 528 newly installed, 0 to remove and 0 not upgraded. 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kinetic/main amd64 libc-ares2 amd64 1.18.1-1build1 [44.9 kB] Get:53 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libnode93 amd64 16.14.2+dfsg1-1ubuntu3 [10.9 MB] Get:54 http://ftpmaster.internal/ubuntu kinetic/universe amd64 nodejs amd64 16.14.2+dfsg1-1ubuntu3 [273 kB] Get:55 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-check-error all 1.0.2-4 [6818 B] Get:56 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-type-detect all 4.0.8-3 [11.3 kB] Get:57 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-deep-eql all 4.0.1-1 [11.8 kB] Get:58 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-get-func-name all 2.0.0+dfsg-2 [5360 B] Get:59 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-pathval all 1.1.1-2 [7202 B] Get:60 http://ftpmaster.internal/ubuntu kinetic/universe amd64 chai all 4.3.6~ds1+~cs9.7.12-3 [92.8 kB] Get:61 http://ftpmaster.internal/ubuntu kinetic/universe amd64 cython3 amd64 0.29.30-1ubuntu1 [1310 kB] Get:62 http://ftpmaster.internal/ubuntu kinetic/main amd64 libdebhelper-perl all 13.7.1ubuntu1 [66.9 kB] Get:63 http://ftpmaster.internal/ubuntu kinetic/main amd64 libtool all 2.4.7-4 [166 kB] Get:64 http://ftpmaster.internal/ubuntu kinetic/main amd64 dh-autoreconf all 20 [16.1 kB] Get:65 http://ftpmaster.internal/ubuntu kinetic/main amd64 libarchive-zip-perl all 1.68-1 [90.2 kB] Get:66 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsub-override-perl all 0.09-3 [9756 B] Get:67 http://ftpmaster.internal/ubuntu kinetic/main amd64 libfile-stripnondeterminism-perl all 1.13.0-1 [18.1 kB] Get:68 http://ftpmaster.internal/ubuntu kinetic/main amd64 dh-strip-nondeterminism all 1.13.0-1 [5344 B] Get:69 http://ftpmaster.internal/ubuntu kinetic/main amd64 libdw1 amd64 0.187-1 [247 kB] Get:70 http://ftpmaster.internal/ubuntu kinetic/main amd64 debugedit amd64 1:5.0-4build1 [47.2 kB] Get:71 http://ftpmaster.internal/ubuntu kinetic/main amd64 dwz amd64 0.14-1build2 [105 kB] Get:72 http://ftpmaster.internal/ubuntu kinetic/main amd64 gettext amd64 0.21-6 [862 kB] Get:73 http://ftpmaster.internal/ubuntu kinetic/main amd64 intltool-debian all 0.35.0+20060710.5 [24.9 kB] Get:74 http://ftpmaster.internal/ubuntu kinetic/main amd64 po-debconf all 1.0.21+nmu1 [233 kB] Get:75 http://ftpmaster.internal/ubuntu kinetic/main amd64 debhelper all 13.7.1ubuntu1 [940 kB] Get:76 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-lib2to3 all 3.10.4-0ubuntu2 [76.0 kB] Get:77 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-distutils all 3.10.4-0ubuntu2 [138 kB] Get:78 http://ftpmaster.internal/ubuntu kinetic/universe amd64 dh-python all 5.20220403 [106 kB] Get:79 http://ftpmaster.internal/ubuntu kinetic/main amd64 xml-core all 0.18+nmu1 [21.6 kB] Get:80 http://ftpmaster.internal/ubuntu kinetic/main amd64 docutils-common all 0.17.1+dfsg-2 [117 kB] Get:81 http://ftpmaster.internal/ubuntu kinetic/main amd64 libfreetype6 amd64 2.12.1+dfsg-3 [387 kB] Get:82 http://ftpmaster.internal/ubuntu kinetic/main amd64 fonts-dejavu-core all 2.37-2build1 [1041 kB] Get:83 http://ftpmaster.internal/ubuntu kinetic/main amd64 fonts-urw-base35 all 20200910-1 [6367 kB] Get:84 http://ftpmaster.internal/ubuntu kinetic/universe amd64 fonts-texgyre all 20180621-3.1 [10.2 MB] Get:85 http://ftpmaster.internal/ubuntu kinetic/main amd64 fontconfig-config all 2.13.1-4.4ubuntu1 [28.2 kB] Get:86 http://ftpmaster.internal/ubuntu kinetic/main amd64 libfontconfig1 amd64 2.13.1-4.4ubuntu1 [129 kB] Get:87 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjpeg-turbo8 amd64 2.1.2-0ubuntu1 [134 kB] Get:88 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjpeg8 amd64 8c-2ubuntu10 [2264 B] Get:89 http://ftpmaster.internal/ubuntu kinetic/main amd64 libdeflate0 amd64 1.10-2 [70.9 kB] Get:90 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjbig0 amd64 2.1-3.1build3 [28.9 kB] Get:91 http://ftpmaster.internal/ubuntu kinetic/main amd64 libwebp7 amd64 1.2.2-2 [206 kB] Get:92 http://ftpmaster.internal/ubuntu kinetic/main amd64 libtiff5 amd64 4.4.0~rc1-1 [183 kB] Get:93 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxpm4 amd64 1:3.5.12-1build2 [36.2 kB] Get:94 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgd3 amd64 2.3.0-2ubuntu2 [129 kB] Get:95 http://ftpmaster.internal/ubuntu kinetic/main amd64 libkpathsea6 amd64 2022.20220321.62855-4 [59.4 kB] Get:96 http://ftpmaster.internal/ubuntu kinetic/main amd64 libptexenc1 amd64 2022.20220321.62855-4 [38.4 kB] Get:97 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsynctex2 amd64 2022.20220321.62855-4 [54.8 kB] Get:98 http://ftpmaster.internal/ubuntu kinetic/main amd64 libtexlua53-5 amd64 2022.20220321.62855-4 [118 kB] Get:99 http://ftpmaster.internal/ubuntu kinetic/main amd64 libtexluajit2 amd64 2022.20220321.62855-4 [264 kB] Get:100 http://ftpmaster.internal/ubuntu kinetic/main amd64 t1utils amd64 1.41-4build2 [61.3 kB] Get:101 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpixman-1-0 amd64 0.40.0-1build4 [264 kB] Get:102 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxcb-render0 amd64 1.14-3ubuntu3 [16.4 kB] Get:103 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxcb-shm0 amd64 1.14-3ubuntu3 [5780 B] Get:104 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxrender1 amd64 1:0.9.10-1.1 [20.0 kB] Get:105 http://ftpmaster.internal/ubuntu kinetic/main amd64 libcairo2 amd64 1.16.0-5ubuntu2 [628 kB] Get:106 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgraphite2-3 amd64 1.3.14-1build2 [71.3 kB] Get:107 http://ftpmaster.internal/ubuntu kinetic/main amd64 libharfbuzz0b amd64 2.7.4-1ubuntu4 [352 kB] Get:108 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpaper1 amd64 1.1.28build2 [13.8 kB] Get:109 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libteckit0 amd64 2.5.11+ds1-1 [421 kB] Get:110 http://ftpmaster.internal/ubuntu kinetic/main amd64 x11-common all 1:7.7+23ubuntu2 [23.4 kB] Get:111 http://ftpmaster.internal/ubuntu kinetic/main amd64 libice6 amd64 2:1.0.10-1build2 [42.6 kB] Get:112 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsm6 amd64 2:1.2.3-1build2 [16.7 kB] Get:113 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxt6 amd64 1:1.2.1-1 [177 kB] Get:114 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxmu6 amd64 2:1.1.3-3 [49.6 kB] Get:115 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxaw7 amd64 2:1.0.14-1 [191 kB] Get:116 http://ftpmaster.internal/ubuntu kinetic/main amd64 libxi6 amd64 2:1.8-1build1 [32.6 kB] Get:117 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libzzip-0-13 amd64 0.13.72+dfsg.1-1.1 [27.0 kB] Get:118 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-binaries amd64 2022.20220321.62855-4 [9996 kB] Get:119 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgs9-common all 9.55.0~dfsg1-0ubuntu5 [752 kB] Get:120 http://ftpmaster.internal/ubuntu kinetic/main amd64 libavahi-common-data amd64 0.8-5ubuntu5 [23.9 kB] Get:121 http://ftpmaster.internal/ubuntu kinetic/main amd64 libavahi-common3 amd64 0.8-5ubuntu5 [23.7 kB] Get:122 http://ftpmaster.internal/ubuntu kinetic/main amd64 libavahi-client3 amd64 0.8-5ubuntu5 [28.1 kB] Get:123 http://ftpmaster.internal/ubuntu kinetic/main amd64 libcups2 amd64 2.4.2-1ubuntu1 [260 kB] Get:124 http://ftpmaster.internal/ubuntu kinetic/main amd64 libidn12 amd64 1.38-4build1 [60.6 kB] Get:125 http://ftpmaster.internal/ubuntu kinetic/main amd64 libijs-0.35 amd64 0.35-15build2 [16.5 kB] Get:126 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjbig2dec0 amd64 0.19-3build2 [64.7 kB] Get:127 http://ftpmaster.internal/ubuntu kinetic/main amd64 libopenjp2-7 amd64 2.4.0-6 [158 kB] Get:128 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgs9 amd64 9.55.0~dfsg1-0ubuntu5 [5037 kB] Get:129 http://ftpmaster.internal/ubuntu kinetic/main amd64 ghostscript amd64 9.55.0~dfsg1-0ubuntu5 [49.4 kB] Get:130 http://ftpmaster.internal/ubuntu kinetic/universe amd64 dvipng amd64 1.15-1.1 [78.9 kB] Get:131 http://ftpmaster.internal/ubuntu kinetic/main amd64 fontconfig amd64 2.13.1-4.4ubuntu1 [176 kB] Get:132 http://ftpmaster.internal/ubuntu kinetic/main amd64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [516 kB] Get:133 http://ftpmaster.internal/ubuntu kinetic/universe amd64 fonts-lmodern all 2.005-1 [4799 kB] Get:134 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libann0 amd64 1.1.2+doc-7build1 [26.0 kB] Get:135 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libcdt5 amd64 2.42.2-7 [20.9 kB] Get:136 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libcgraph6 amd64 2.42.2-7 [44.6 kB] Get:137 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libgts-0.7-5 amd64 0.7.6+darcs121130-5 [164 kB] Get:138 http://ftpmaster.internal/ubuntu kinetic/main amd64 libltdl7 amd64 2.4.7-4 [40.3 kB] Get:139 http://ftpmaster.internal/ubuntu kinetic/main amd64 libthai-data all 0.1.29-1build1 [162 kB] Get:140 http://ftpmaster.internal/ubuntu kinetic/main amd64 libdatrie1 amd64 0.2.13-2 [19.9 kB] Get:141 http://ftpmaster.internal/ubuntu kinetic/main amd64 libthai0 amd64 0.1.29-1build1 [19.2 kB] Get:142 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpango-1.0-0 amd64 1.50.7+ds-1 [224 kB] Get:143 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpangoft2-1.0-0 amd64 1.50.7+ds-1 [52.0 kB] Get:144 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpangocairo-1.0-0 amd64 1.50.7+ds-1 [38.2 kB] Get:145 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libpathplan4 amd64 2.42.2-7 [23.2 kB] Get:146 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libgvc6 amd64 2.42.2-7 [708 kB] Get:147 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libgvpr2 amd64 2.42.2-7 [186 kB] Get:148 http://ftpmaster.internal/ubuntu kinetic/universe amd64 liblab-gamut1 amd64 2.42.2-7 [1909 kB] Get:149 http://ftpmaster.internal/ubuntu kinetic/universe amd64 graphviz amd64 2.42.2-7 [635 kB] Get:150 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-neo-async all 2.6.2+~cs3.0.0-2 [35.9 kB] Get:151 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-arrify all 2.0.1-3 [3688 B] Get:152 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-plain-obj all 3.0.0-2 [3994 B] Get:153 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-buffer all 2.0.5-2 [4128 B] Get:154 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-kind-of all 6.0.3+dfsg-2 [8628 B] Get:155 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-minimist all 1.2.6+~cs5.3.2-1 [9578 B] Get:156 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-wordwrap all 1.0.0-4 [4644 B] Get:157 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-optimist all 0.6.1+~0.0.30-2 [13.8 kB] Get:158 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-source-map all 0.7.0++dfsg2+really.0.6.1-9 [93.9 kB] Get:159 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-source-map all 0.7.0++dfsg2+really.0.6.1-9 [33.6 kB] Get:160 http://ftpmaster.internal/ubuntu kinetic/universe amd64 handlebars all 3:4.7.7+~4.1.0-1 [211 kB] Get:161 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-traitlets all 5.3.0-1 [85.5 kB] Get:162 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-jupyter-core all 4.10.0-1 [20.4 kB] Get:163 http://ftpmaster.internal/ubuntu kinetic/universe amd64 jupyter-core all 4.10.0-1 [4324 B] Get:164 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-pyparsing all 3.0.7-2 [82.6 kB] Get:165 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-packaging all 21.3-1 [30.7 kB] Get:166 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-six all 1.16.0-3ubuntu1 [12.6 kB] Get:167 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-webencodings all 0.5.1-4 [11.8 kB] Get:168 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-html5lib all 1.1-3 [87.0 kB] Get:169 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-bleach all 4.1.0-2 [40.8 kB] Get:170 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-soupsieve all 2.3.2-1 [33.7 kB] Get:171 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-bs4 all 4.11.1-1 [99.2 kB] Get:172 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-defusedxml all 0.7.1-1 [43.2 kB] Get:173 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-entrypoints all 0.4-1 [7112 B] Get:174 http://ftpmaster.internal/ubuntu kinetic/main amd64 python-babel-localedata all 2.8.0+dfsg.1-7 [4982 kB] Get:175 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-tz all 2022.1-1 [33.3 kB] Get:176 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-babel all 2.8.0+dfsg.1-7 [85.1 kB] Get:177 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-markupsafe amd64 2.0.1-2build1 [12.7 kB] Get:178 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-jinja2 all 3.0.3-1 [108 kB] Get:179 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-pygments all 2.11.2+dfsg-2 [750 kB] Get:180 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-jupyterlab-pygments all 0.2.2-1 [5950 B] Get:181 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-dateutil all 2.8.1-6 [78.4 kB] Get:182 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-nest-asyncio all 1.5.4-1 [6256 B] Get:183 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-tornado amd64 6.1.0-3build1 [287 kB] Get:184 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-cffi-backend amd64 1.15.0-1build2 [77.4 kB] Get:185 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-py all 1.10.0-1 [71.9 kB] Get:186 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libnorm1 amd64 1.5.9+dfsg-2 [221 kB] Get:187 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libpgm-5.3-0 amd64 5.3.128~dfsg-2 [161 kB] Get:188 http://ftpmaster.internal/ubuntu kinetic/main amd64 libsodium23 amd64 1.0.18-1build2 [164 kB] Get:189 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libzmq5 amd64 4.3.4-2 [256 kB] Get:190 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-zmq amd64 22.3.0-1build1 [283 kB] Get:191 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-jupyter-client all 7.3.4-1 [91.3 kB] Get:192 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-fastjsonschema all 2.15.1-2 [17.5 kB] Get:193 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-attr all 21.2.0-1 [44.0 kB] Get:194 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-setuptools all 59.6.0-1.2 [339 kB] Get:195 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-more-itertools all 8.10.0-2 [47.9 kB] Get:196 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-zipp all 1.0.0-4 [5548 B] Get:197 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-importlib-metadata all 4.6.4-1 [16.2 kB] Get:198 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-pyrsistent amd64 0.18.1-1build1 [55.5 kB] Get:199 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-jsonschema all 3.2.0-0ubuntu2 [43.1 kB] Get:200 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-nbformat all 5.4.0-2 [35.3 kB] Get:201 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-nbclient all 0.6.4-1 [53.3 kB] Get:202 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-pandocfilters all 1.5.0-1 [24.0 kB] Get:203 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-testpath all 0.6.0+dfsg-1 [9022 B] Get:204 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-nbconvert all 6.4.4-1 [185 kB] Get:205 http://ftpmaster.internal/ubuntu kinetic/universe amd64 jupyter-nbconvert all 6.4.4-1 [4548 B] Get:206 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpaper-utils amd64 1.1.28build2 [8674 B] Get:207 http://ftpmaster.internal/ubuntu kinetic/main amd64 xdg-utils all 1.1.3-4.1ubuntu2 [62.0 kB] Get:208 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-base all 2022.20220405-2 [21.3 MB] Get:209 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-latex-base all 2022.20220405-2 [1129 kB] Get:210 http://ftpmaster.internal/ubuntu kinetic/universe amd64 latexmk all 1:4.77-1 [174 kB] Get:211 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libapache-pom-java all 18-1 [4720 B] Get:212 http://ftpmaster.internal/ubuntu kinetic/main amd64 libblas3 amd64 3.10.1-2 [228 kB] Get:213 http://ftpmaster.internal/ubuntu kinetic/main amd64 libblas-dev amd64 3.10.1-2 [163 kB] Get:214 http://ftpmaster.internal/ubuntu kinetic/main amd64 libboost1.74-dev amd64 1.74.0-14ubuntu4 [9616 kB] Get:215 http://ftpmaster.internal/ubuntu kinetic/main amd64 libboost-dev amd64 1.74.0.3ubuntu7 [3490 B] Get:216 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libcommons-parent-java all 43-1 [10.8 kB] Get:217 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libcommons-logging-java all 1.2-3 [59.9 kB] Get:218 http://ftpmaster.internal/ubuntu kinetic/main amd64 libexpat1-dev amd64 2.4.8-1 [147 kB] Get:219 http://ftpmaster.internal/ubuntu kinetic/main amd64 libfontenc1 amd64 1:1.1.4-1build3 [14.7 kB] Get:220 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgdk-pixbuf2.0-common all 2.42.8+dfsg-1 [5880 B] Get:221 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgdk-pixbuf-2.0-0 amd64 2.42.8+dfsg-1 [148 kB] Get:222 http://ftpmaster.internal/ubuntu kinetic/main amd64 libgfortran5 amd64 12.1.0-2ubuntu1 [875 kB] Get:223 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-async all 0.8.0-5 [26.0 kB] Get:224 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-d3 all 3.5.17-4 [132 kB] Get:225 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjs-jquery all 3.6.0+dfsg+~3.5.13-1 [321 kB] Get:226 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-prettify all 2015.12.04+dfsg-1.1 [39.3 kB] Get:227 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-regenerate all 1.4.2-3 [14.7 kB] Get:228 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjs-underscore all 1.13.3~dfsg+~1.11.4-1 [118 kB] Get:229 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjs-sphinxdoc all 4.5.0-4 [142 kB] Get:230 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-sprintf-js all 1.1.2+ds1+~1.1.2-1 [12.8 kB] Get:231 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-terser all 4.1.2-10 [703 kB] Get:232 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-lodash-packages all 4.17.21+dfsg+~cs8.31.198.20210220-9 [176 kB] Get:233 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-define-properties all 1.1.3-3 [6748 B] Get:234 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-debbundle-es-to-primitive all 1.2.1+~cs9.7.25-2 [14.1 kB] Get:235 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-function-bind all 1.1.1+repacked+~1.0.3-2 [5316 B] Get:236 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-object-inspect all 1.11.0+~cs1.8.1-3 [10.1 kB] Get:237 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-es-abstract all 1.19.5+~cs16.21.25-2 [126 kB] Get:238 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-isarray all 2.0.5-4 [4024 B] Get:239 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-resolve all 1.22.0+~cs5.29.10-2 [21.2 kB] Get:240 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-deep-equal all 2.0.5+~cs32.11.68-3 [25.7 kB] Get:241 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-inherits all 2.0.4-6 [3412 B] Get:242 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-inherits all 2.0.4-6 [3004 B] Get:243 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-safe-buffer all 5.2.1+~cs2.1.2-3 [15.8 kB] Get:244 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-util all 0.12.4+~1.0.10-1 [15.3 kB] Get:245 http://ftpmaster.internal/ubuntu kinetic/main amd64 libjson-perl all 4.06000-1 [82.0 kB] Get:246 http://ftpmaster.internal/ubuntu kinetic/main amd64 liblapack3 amd64 3.10.1-2 [2492 kB] Get:247 http://ftpmaster.internal/ubuntu kinetic/universe amd64 liblbfgsb0 amd64 3.0+dfsg.3-10 [29.9 kB] Get:248 http://ftpmaster.internal/ubuntu kinetic/main amd64 libnotify4 amd64 0.7.12-1 [21.7 kB] Get:249 http://ftpmaster.internal/ubuntu kinetic/main amd64 libnotify-bin amd64 0.7.12-1 [9868 B] Get:250 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpython3.10 amd64 3.10.5-1 [1926 kB] Get:251 http://ftpmaster.internal/ubuntu kinetic/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2ubuntu9 [164 kB] Get:252 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpython3.10-dev amd64 3.10.5-1 [4679 kB] Get:253 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpython3-dev amd64 3.10.4-0ubuntu2 [7242 B] Get:254 http://ftpmaster.internal/ubuntu kinetic/main amd64 libpython3-all-dev amd64 3.10.4-0ubuntu2 [920 B] Get:255 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libxsimd-dev amd64 7.6.0-2 [108 kB] Get:256 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-ansi-colors all 4.1.1-3 [14.3 kB] Get:257 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-ansi-regex all 5.0.1-1 [4984 B] Get:258 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-normalize-path all 3.0.0-3 [6166 B] Get:259 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-anymatch all 3.1.2+~cs4.6.1-1 [31.4 kB] Get:260 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-object-assign all 4.1.1-6 [4754 B] Get:261 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-util all 0.12.4+~1.0.10-1 [3756 B] Get:262 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-assert all 2.0.0+~cs2.4.2-1 [24.5 kB] Get:263 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-async all 0.8.0-5 [2626 B] Get:264 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-async-each all 1.0.3-2 [4148 B] Get:265 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regenerator-runtime all 0.15.0+~0.10.8-2 [10.6 kB] Get:266 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-babel7-runtime all 7.12.12+~cs150.141.84-8 [25.5 kB] Get:267 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-caniuse-lite all 1.0.30001352+dfsg+~1.0.1-1 [204 kB] Get:268 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-electron-to-chromium all 1.4.150-1 [19.8 kB] Get:269 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-picocolors all 1.0.0-3 [6090 B] Get:270 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-browserslist all 4.20.4+~cs5.1.6-1 [55.3 kB] Get:271 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-color-name all 1.1.4+~1.1.1-2 [6076 B] Get:272 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-color-convert all 2.0.1+~cs2.0.0-1 [12.8 kB] Get:273 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-ansi-styles all 4.3.0+~4.2.0-1 [8968 B] Get:274 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-escape-string-regexp all 4.0.0-2 [4328 B] Get:275 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-has-flag all 4.0.0-2 [4228 B] Get:276 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-supports-color all 8.1.1+~8.1.1-1 [7048 B] Get:277 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-chalk all 4.1.2-1 [15.9 kB] Get:278 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-commander all 9.2.0-1 [49.6 kB] Get:279 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-convert-source-map all 1.8.0+~1.5.2-2 [8436 B] Get:280 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-yallist all 4.0.0+~4.0.1-1 [8322 B] Get:281 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-lru-cache all 6.0.0+~5.1.1-1 [11.3 kB] Get:282 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-semver all 7.3.5+~7.3.9-1 [41.2 kB] Get:283 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-core-js all 3.8.2-3 [202 kB] Get:284 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-ms all 2.1.3+~cs0.7.31-2 [5782 B] Get:285 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-debug all 4.3.4+~cs4.1.7-1 [17.7 kB] Get:286 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-esutils all 2.0.3-3 [12.2 kB] Get:287 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-commondir all 1.0.1+~1.0.0-1 [4400 B] Get:288 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-extglob all 2.1.1-4 [4594 B] Get:289 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-glob all 4.0.3-1 [6690 B] Get:290 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-path-dirname all 1.0.2-2 [4326 B] Get:291 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-glob-parent all 6.0.2+~5.1.1-2 [7050 B] Get:292 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-ignore all 5.2.0-2 [22.9 kB] Get:293 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-number all 7.0.0-3 [6116 B] Get:294 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-repeat-string all 1.6.1+repack-1 [5660 B] Get:295 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-to-regex-range all 5.0.1-4 [10.7 kB] Get:296 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-fill-range all 7.0.1+~7.0.0-1 [9098 B] Get:297 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-braces all 3.0.2+~3.0.1-1 [19.4 kB] Get:298 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-micromatch all 4.0.5+~4.0.2-1 [23.5 kB] Get:299 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-pify all 5.0.0+~cs5.0.1-1 [7148 B] Get:300 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-path-type all 4.0.0-2 [3868 B] Get:301 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-core-util-is all 1.0.3-1 [4066 B] Get:302 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-string-decoder all 1.3.0-6 [7044 B] Get:303 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-process-nextick-args all 2.0.1-3 [3804 B] Get:304 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-util-deprecate all 1.0.2-3 [4202 B] Get:305 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-readable-stream all 3.6.0+~cs3.0.0-3 [32.5 kB] Get:306 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-n3 all 1.16.1+~1.2.3+~1.10.4-1 [38.0 kB] Get:307 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-slash all 4.0.0-3 [4326 B] Get:308 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-globby all 13.1.1+~cs16.24.39-8 [57.2 kB] Get:309 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-graceful-fs all 4.2.10-1 [14.0 kB] Get:310 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-path-cwd all 2.2.0-2 [3650 B] Get:311 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-path-is-inside all 1.0.2+~1.0.0-1 [5098 B] Get:312 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-path-inside all 3.0.3-1 [3932 B] Get:313 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-indent-string all 4.0.0-2 [4122 B] Get:314 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-p-map all 4.0.0+~3.1.0+~3.0.1-1 [8058 B] Get:315 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-fs.realpath all 1.0.0-3 [6176 B] Get:316 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-wrappy all 1.0.2-3 [3732 B] Get:317 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-once all 1.4.0-5 [4778 B] Get:318 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-inflight all 1.0.6-2 [3940 B] Get:319 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-balanced-match all 2.0.0-1 [4910 B] Get:320 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-brace-expansion all 2.0.1-1 [7458 B] Get:321 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-minimatch all 5.1.0+~3.0.5-1 [17.6 kB] Get:322 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-glob all 8.0.3+~cs7.6.15-1 [131 kB] Get:323 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-rimraf all 3.0.2-2 [10.4 kB] Get:324 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-del all 6.0.0-1 [5978 B] Get:325 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-make-dir all 3.1.0-2 [6074 B] Get:326 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-p-limit all 4.0.0+~cs4.0.0-5 [7722 B] Get:327 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-p-locate all 6.0.0-11 [5292 B] Get:328 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-locate-path all 7.1.0-6 [5536 B] Get:329 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-path-exists all 5.0.0-7 [4656 B] Get:330 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-find-up all 6.3.0-7 [9340 B] Get:331 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-pkg-dir all 5.0.0-1 [4268 B] Get:332 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-find-cache-dir all 3.3.2+~3.2.1-1 [6210 B] Get:333 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-fs-readdir-recursive all 1.1.0-2 [3870 B] Get:334 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-globals all 13.13.0-1 [11.4 kB] Get:335 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-js-tokens all 7.0.0-1 [12.0 kB] Get:336 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-jsesc all 3.0.2+~3.0.1-1 [18.0 kB] Get:337 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-json5 all 2.2.0+dfsg-1 [20.7 kB] Get:338 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-lodash all 4.17.21+dfsg+~cs8.31.198.20210220-9 [469 kB] Get:339 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-quick-lru all 5.1.1-1 [5532 B] Get:340 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regenerator-transform all 0.15.0+~0.10.8-2 [25.4 kB] Get:341 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regenerate all 1.4.2-3 [2340 B] Get:342 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regenerate-unicode-properties all 10.0.1+ds-2 [55.1 kB] Get:343 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regjsgen all 0.7.1+ds-1 [7048 B] Get:344 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regjsparser all 0.8.4+ds-1 [21.8 kB] Get:345 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-unicode-canonical-property-names-ecmascript all 2.0.0-2 [4558 B] Get:346 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-unicode-property-aliases-ecmascript all 2.0.0+ds-2 [5280 B] Get:347 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-unicode-match-property-ecmascript all 2.0.0-1 [4452 B] Get:348 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-unicode-match-property-value-ecmascript all 2.0.0+ds-2 [7650 B] Get:349 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-regexpu-core all 4.8.0-4 [11.9 kB] Get:350 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-source-map-support all 0.5.21+ds+~0.5.4-1 [14.2 kB] Get:351 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-to-fast-properties all 3.0.1-2 [4310 B] Get:352 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-v8flags all 3.2.0-3 [7112 B] Get:353 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-babel7 all 7.12.12+~cs150.141.84-8 [485 kB] Get:354 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-binary-extensions all 2.2.0-2 [4488 B] Get:355 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-browser-stdout all 1.3.1-6 [3656 B] Get:356 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-binary-path all 2.1.0-4 [3682 B] Get:357 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-path-is-absolute all 2.0.0-2 [4062 B] Get:358 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-set-immediate-shim all 2.0.0-2 [3696 B] Get:359 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-readdirp all 3.6.0-1 [11.8 kB] Get:360 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-chokidar all 3.5.3-2 [32.4 kB] Get:361 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-ci-info all 3.3.1+~cs4.2.0-1 [9932 B] Get:362 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-slice-ansi all 5.0.0+~cs9.0.0-4 [8044 B] Get:363 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-strip-ansi all 6.0.1-1 [4184 B] Get:364 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-clone all 2.1.2-3 [8344 B] Get:365 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-defaults all 1.0.3+~1.0.3-1 [4288 B] Get:366 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-wcwidth.js all 1.0.2-1 [7278 B] Get:367 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-string-width all 4.2.3+~cs13.2.3-1 [11.4 kB] Get:368 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-wrap-ansi all 8.0.1+~8.0.1-2 [8782 B] Get:369 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-cliui all 7.0.4+repack+~cs3.1.0-3 [11.2 kB] Get:370 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-array all 3.1.6+~cs5.0.6-1 [42.9 kB] Get:371 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-axis all 1.0.12-4 [10.6 kB] Get:372 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-dispatch all 1.0.6-3 [8214 B] Get:373 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-selection all 1.4.0-7 [31.8 kB] Get:374 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-drag all 1.2.5-3 [14.4 kB] Get:375 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-color all 1.2.8-3 [15.9 kB] Get:376 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-interpolate all 1.4.0-2 [18.5 kB] Get:377 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-ease all 1.0.5-4 [10.4 kB] Get:378 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-timer all 1.0.10-1 [8652 B] Get:379 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-transition all 1.3.2-3 [22.2 kB] Get:380 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-brush all 1.1.5-3 [178 kB] Get:381 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-path all 1.0.9-2 [8256 B] Get:382 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-chord all 1.0.6-5 [10.5 kB] Get:383 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-collection all 1.0.7-4 [12.2 kB] Get:384 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-contour all 1.3.2-6 [14.4 kB] Get:385 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-iconv-lite all 0.6.3-2 [167 kB] Get:386 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-queue all 3.0.7-12 [10.1 kB] Get:387 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-rw all 1.3.3-5 [7570 B] Get:388 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-dsv all 1.1.1-5 [14.5 kB] Get:389 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-fetch all 1.2.0-3 [7880 B] Get:390 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-quadtree all 1.0.7-2 [13.1 kB] Get:391 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-force all 1.2.1-3 [363 kB] Get:392 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libjs-d3-format all 1:1.4.1-5.1 [17.9 kB] Get:393 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-format all 1:1.4.1-5.1 [7584 B] Get:394 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-geo all 1.11.9-4 [53.6 kB] Get:395 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-hierarchy all 1.1.8-4 [29.9 kB] Get:396 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-polygon all 1.0.5-3 [7432 B] Get:397 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-random all 1.1.2-3 [7224 B] Get:398 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-time all 1.0.11-4 [14.6 kB] Get:399 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-time-format all 2.1.3-5 [20.0 kB] Get:400 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-scale all 2.2.2-4 [32.8 kB] Get:401 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-scale-chromatic all 1.5.0-3 [21.5 kB] Get:402 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-shape all 1.3.7-3 [42.0 kB] Get:403 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-voronoi all 1.1.4-3 [17.2 kB] Get:404 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3-zoom all 1.8.3-2 [20.2 kB] Get:405 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-d3 all 5.16.0-5 [189 kB] Get:406 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-camelcase all 6.3.0-1 [6000 B] Get:407 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-decamelize all 4.0.0-1 [3984 B] Get:408 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-diff all 5.0.0~dfsg+~5.0.1-3 [77.4 kB] Get:409 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-growl all 1.10.5-4 [7064 B] Get:410 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-he all 1.2.0-3 [41.3 kB] Get:411 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-sprintf-js all 1.1.2+ds1+~1.1.2-1 [3916 B] Get:412 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-argparse all 2.0.1-2 [33.2 kB] Get:413 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-esprima all 4.0.1+ds+~4.0.3-2 [69.3 kB] Get:414 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-js-yaml all 4.1.0+dfsg+~4.0.5-6 [62.7 kB] Get:415 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-isobject all 4.0.0-2 [5374 B] Get:416 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-postcss all 8.4.8+~cs7.3.21-2 [161 kB] Get:417 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-randombytes all 2.1.0+~2.0.0-1 [4842 B] Get:418 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-serialize-javascript all 6.0.0-1 [12.2 kB] Get:419 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-strip-json-comments all 4.0.0-4 [5656 B] Get:420 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-isexe all 2.0.0+~2.0.1-5 [6078 B] Get:421 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-which all 2.0.2+~cs1.3.2-2 [7374 B] Get:422 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-wide-align all 1.1.3-4 [4228 B] Get:423 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-get-caller-file all 2.0.5+~cs1.1.1-4 [5774 B] Get:424 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-require-directory all 2.1.1+~2.1.2-1 [7190 B] Get:425 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-y18n all 5.0.8+~5.0.0-2 [9524 B] Get:426 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-yargs-parser all 21.0.1+~21.0.0-1 [23.5 kB] Get:427 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-yargs all 16.2.0+~16.0.4-3 [120 kB] Get:428 http://ftpmaster.internal/ubuntu kinetic/universe amd64 mocha all 9.2.2+ds1+~cs28.5.6-2 [146 kB] Get:429 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-graphlibrary all 2.2.0+really2.1.8+dfsg-4 [55.1 kB] Get:430 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-dagre-layout all 0.8.8+really0.8.5+dfsg-5 [44.6 kB] Get:431 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-dagre-d3-renderer all 0.6.4+dfsg-4 [633 kB] Get:432 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-deep-is all 0.1.4-1 [5158 B] Get:433 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-arrayish all 0.3.2-3 [3970 B] Get:434 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-error-ex all 1.3.2-3 [5680 B] Get:435 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-es6-error all 4.1.1-4 [5802 B] Get:436 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-estraverse all 5.3.0+ds+~5.1.1-1 [11.9 kB] Get:437 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-fast-levenshtein all 2.0.6+ds-3 [6084 B] Get:438 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-prelude-ls all 1.2.1+dfsg-3 [9812 B] Get:439 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-type-check all 0.4.0+dfsg-3 [9318 B] Get:440 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-levn all 0.4.1+dfsg-2 [10.3 kB] Get:441 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-optionator all 0.9.1+dfsg+~cs1.2.3-1 [17.1 kB] Get:442 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-escodegen all 2.0.0+dfsg-2 [21.3 kB] Get:443 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-signal-exit all 3.0.7+~3.0.1-1 [7034 B] Get:444 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-foreground-child all 2.0.0-4 [5592 B] Get:445 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-hosted-git-info all 5.0.0-1 [9270 B] Get:446 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-imurmurhash all 0.1.4+dfsg+~0.1.1-1 [8510 B] Get:447 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-stream all 3.0.0-4 [5106 B] Get:448 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-is-windows all 1.0.2+~cs1.0.0-1 [5980 B] Get:449 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-abbrev all 1.1.1+~1.1.2-1 [5784 B] Get:450 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-archy all 1.0.0-5 [4810 B] Get:451 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-mkdirp all 1.0.4+~1.0.2-3 [11.4 kB] Get:452 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-nopt all 5.0.0-3 [11.3 kB] Get:453 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-npm-run-path all 5.1.0+~4.0.0-7 [6230 B] Get:454 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-resolve-from all 5.0.0+~3.1.0+~3.3.0+~2.0.0-1 [7332 B] Get:455 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-shebang-regex all 3.0.0-2 [3504 B] Get:456 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-shebang-command all 2.0.0-1 [3456 B] Get:457 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-strip-bom all 4.0.0-2 [4158 B] Get:458 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-json-parse-better-errors all 1.0.2+~cs3.3.1-2 [7384 B] Get:459 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-parse-json all 5.2.0+~cs5.1.7-1 [7516 B] Get:460 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-spdx-license-ids all 3.0.11+repack1-1 [6342 B] Get:461 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-spdx-exceptions all 2.3.0-2 [3978 B] Get:462 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-spdx-expression-parse all 3.0.1+~3.0.1-1 [7658 B] Get:463 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-spdx-correct all 3.1.1-2 [5476 B] Get:464 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-validate-npm-package-license all 3.0.4-2 [4252 B] Get:465 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-normalize-package-data all 4.0.0+~2.4.1-1 [12.9 kB] Get:466 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-read-pkg all 5.2.0-2 [24.5 kB] Get:467 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-uuid all 8.3.2+~8.3.3-2 [35.2 kB] Get:468 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-write-file-atomic all 4.0.1+~4.0.0-2 [8630 B] Get:469 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-istanbul all 0.4.5+repack10+~cs97.25.57-3 [206 kB] Get:470 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-pegjs all 0.10.0+~0.10.3-2 [70.2 kB] Get:471 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-terser all 4.1.2-10 [160 kB] Get:472 http://ftpmaster.internal/ubuntu kinetic/universe amd64 preview-latex-style all 12.2-1ubuntu1 [185 kB] Get:473 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-all amd64 3.10.4-0ubuntu2 [914 B] Get:474 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3.10-dev amd64 3.10.5-1 [507 kB] Get:475 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-dev amd64 3.10.4-0ubuntu2 [26.0 kB] Get:476 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-all-dev amd64 3.10.4-0ubuntu2 [916 B] Get:477 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-backcall all 0.2.0-3 [12.7 kB] Get:478 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-gast all 0.5.2-2 [9394 B] Get:479 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-beniget all 0.4.1-2 [9904 B] Get:480 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-certifi all 2020.6.20-1 [150 kB] Get:481 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-chardet all 4.0.0-2 [109 kB] Get:482 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-decorator all 4.4.2-0ubuntu1 [10.3 kB] Get:483 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-roman all 3.3-1 [10.6 kB] Get:484 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-docutils all 0.17.1+dfsg-2 [387 kB] Get:485 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-idna all 3.3-1 [49.3 kB] Get:486 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-imagesize all 1.3.0-1 [6458 B] Get:487 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-parso all 0.8.1-1 [64.5 kB] Get:488 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-jedi all 0.18.0-1 [615 kB] Get:489 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-matplotlib-inline all 0.1.3-1 [8070 B] Get:490 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-ptyprocess all 0.7.0-3 [15.4 kB] Get:491 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-pexpect all 4.8.0-2ubuntu1 [46.7 kB] Get:492 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-pickleshare all 0.7.5-5 [7570 B] Get:493 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-wcwidth all 0.2.5+dfsg1-1 [21.9 kB] Get:494 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-prompt-toolkit all 3.0.29-1 [251 kB] Get:495 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-ipython all 7.31.1-1 [534 kB] Get:496 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-psutil amd64 5.9.0-1build1 [158 kB] Get:497 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-ipykernel all 6.13.1-2 [92.1 kB] Get:498 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-mpmath all 1.2.1-2 [419 kB] Get:499 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-nose all 1.3.7-8 [117 kB] Get:500 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-numpy amd64 1:1.21.5-1build2 [3464 kB] Get:501 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-parameterized all 0.8.1-3 [18.2 kB] Get:502 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-ply all 3.11-5 [47.5 kB] Get:503 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-pydot all 1.4.2-1build1 [25.8 kB] Get:504 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-pythran amd64 0.10.0+ds2-8 [423 kB] Get:505 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-urllib3 all 1.26.9-1 [98.8 kB] Get:506 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-requests all 2.27.1+dfsg-1ubuntu2 [50.3 kB] Get:507 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-snowballstemmer all 2.2.0-1build1 [60.2 kB] Get:508 http://ftpmaster.internal/ubuntu kinetic/main amd64 sphinx-common all 4.5.0-4 [679 kB] Get:509 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-alabaster all 0.7.12-1 [17.8 kB] Get:510 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-sphinx all 4.5.0-4 [546 kB] Get:511 http://ftpmaster.internal/ubuntu kinetic/main amd64 sphinx-rtd-theme-common all 1.0.0+dfsg-1 [991 kB] Get:512 http://ftpmaster.internal/ubuntu kinetic/main amd64 python3-sphinx-rtd-theme all 1.0.0+dfsg-1 [21.3 kB] Get:513 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-sympy all 1.10.1-3 [4394 kB] Get:514 http://ftpmaster.internal/ubuntu kinetic/universe amd64 symlinks amd64 1.4-4 [11.1 kB] Get:515 http://ftpmaster.internal/ubuntu kinetic/main amd64 xfonts-encodings all 1:1.0.5-0ubuntu2 [578 kB] Get:516 http://ftpmaster.internal/ubuntu kinetic/main amd64 xfonts-utils amd64 1:7.7+6build2 [94.6 kB] Get:517 http://ftpmaster.internal/ubuntu kinetic/universe amd64 tex-gyre all 20180621-3.1 [6209 kB] Get:518 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-fonts-recommended all 2022.20220405-2 [4973 kB] Get:519 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libfontbox-java all 1:1.8.16-2 [207 kB] Get:520 http://ftpmaster.internal/ubuntu kinetic/universe amd64 libpdfbox-java all 1:1.8.16-2 [5199 kB] Get:521 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-latex-recommended all 2022.20220405-2 [14.4 MB] Get:522 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-pictures all 2022.20220405-2 [8726 kB] Get:523 http://ftpmaster.internal/ubuntu kinetic/universe amd64 texlive-latex-extra all 2022.20220405-3 [14.2 MB] Get:524 http://ftpmaster.internal/ubuntu kinetic/universe amd64 uglifyjs.terser all 4.1.2-10 [8394 B] Get:525 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-pend all 1.2.0-5 [4050 B] Get:526 http://ftpmaster.internal/ubuntu kinetic/universe amd64 node-browserify-lite all 0.5.1+~cs7.1.5-2 [15.3 kB] Get:527 http://ftpmaster.internal/ubuntu kinetic/universe amd64 python3-scipy amd64 1.8.0-1exp2ubuntu1 [14.7 MB] Get:528 http://ftpmaster.internal/ubuntu kinetic/universe amd64 rdfind amd64 1.5.0-1.1 [36.8 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 240 MB in 10s (25.1 MB/s) Selecting previously unselected package libpython3.10-minimal:amd64. (Reading database ... 13498 files and directories currently installed.) Preparing to unpack .../libpython3.10-minimal_3.10.5-1_amd64.deb ... Unpacking libpython3.10-minimal:amd64 (3.10.5-1) ... Selecting previously unselected package libexpat1:amd64. Preparing to unpack .../libexpat1_2.4.8-1_amd64.deb ... Unpacking libexpat1:amd64 (2.4.8-1) ... Selecting previously unselected package python3.10-minimal. Preparing to unpack .../python3.10-minimal_3.10.5-1_amd64.deb ... Unpacking python3.10-minimal (3.10.5-1) ... Setting up libpython3.10-minimal:amd64 (3.10.5-1) ... Setting up libexpat1:amd64 (2.4.8-1) ... Setting up python3.10-minimal (3.10.5-1) ... Selecting previously unselected package python3-minimal. (Reading database ... 13800 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.10.4-0ubuntu2_amd64.deb ... Unpacking python3-minimal (3.10.4-0ubuntu2) ... Selecting previously unselected package media-types. 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Setting up node-regenerate (1.4.2-3) ... Setting up node-semver (7.3.5+~7.3.9-1) ... Setting up node-picocolors (1.0.0-3) ... Setting up automake (1:1.16.5-1.3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up handlebars (3:4.7.7+~4.1.0-1) ... Setting up node-d3-timer (1.0.10-1) ... Setting up node-object-assign (4.1.1-6) ... Setting up node-is-glob (4.0.3-1) ... Setting up libpython3.10:amd64 (3.10.5-1) ... Setting up node-browserify-lite (0.5.1+~cs7.1.5-2) ... Setting up fontconfig (2.13.1-4.4ubuntu1) ... Regenerating fonts cache... done. Setting up node-is-number (7.0.0-3) ... Setting up node-d3-interpolate (1.4.0-2) ... Setting up node-d3-queue (3.0.7-12) ... Setting up node-d3-format (1:1.4.1-5.1) ... Setting up python3.10 (3.10.5-1) ... Setting up node-define-properties (1.1.3-3) ... Setting up libxpm4:amd64 (1:3.5.12-1build2) ... Setting up node-d3-hierarchy (1.1.8-4) ... 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Setting up node-debug (4.3.4+~cs4.1.7-1) ... Setting up python3-pandocfilters (1.5.0-1) ... Setting up node-d3-shape (1.3.7-3) ... Setting up man-db (2.10.2-1) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer → /lib/systemd/system/man-db.timer. Setting up python3-markupsafe (2.0.1-2build1) ... Setting up node-browserslist (4.20.4+~cs5.1.6-1) ... Setting up python3-webencodings (0.5.1-4) ... Setting up libcairo2:amd64 (1.16.0-5ubuntu2) ... Setting up node-yargs-parser (21.0.1+~21.0.0-1) ... Setting up python3-psutil (5.9.0-1build1) ... Setting up python3-tz (2022.1-1) ... Setting up node-make-dir (3.1.0-2) ... Setting up node-wcwidth.js (1.0.2-1) ... Setting up python3-six (1.16.0-3ubuntu1) ... Setting up dh-autoreconf (20) ... Setting up node-levn (0.4.1+dfsg-2) ... Setting up python3-roman (3.3-1) ... Setting up node-spdx-correct (3.1.1-2) ... Setting up python3-decorator (4.4.2-0ubuntu1) ... 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Setting up python3-py (1.10.0-1) ... Setting up python3-backcall (0.2.0-3) ... Setting up python3-parso (0.8.1-1) ... Setting up python3-babel (2.8.0+dfsg.1-7) ... update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode Setting up python3-defusedxml (0.7.1-1) ... Setting up python3-alabaster (0.7.12-1) ... Setting up node-d3-zoom (1.8.3-2) ... Setting up python3-ply (3.11-5) ... Setting up python3-gast (0.5.2-2) ... Setting up python3-all (3.10.4-0ubuntu2) ... Setting up debhelper (13.7.1ubuntu1) ... Setting up node-d3-fetch (1.2.0-3) ... Setting up libxaw7:amd64 (2:1.0.14-1) ... Setting up python3-zipp (1.0.0-4) ... Setting up ghostscript (9.55.0~dfsg1-0ubuntu5) ... Setting up python3-nose (1.3.7-8) ... Setting up python3-bs4 (4.11.1-1) ... Setting up python3-matplotlib-inline (0.1.3-1) ... Setting up python3-beniget (0.4.1-2) ... Setting up python3-jinja2 (3.0.3-1) ... Setting up python3-pygments (2.11.2+dfsg-2) ... Setting up python3-packaging (21.3-1) ... Setting up python3-chardet (4.0.0-2) ... Setting up node-wrap-ansi (8.0.1+~8.0.1-2) ... Setting up node-normalize-package-data (4.0.0+~2.4.1-1) ... Setting up node-readdirp (3.6.0-1) ... Setting up libpython3-all-dev:amd64 (3.10.4-0ubuntu2) ... Setting up python3-pexpect (4.8.0-2ubuntu1) ... Setting up libnotify4:amd64 (0.7.12-1) ... Setting up python3-zmq (22.3.0-1build1) ... Setting up python3-dev (3.10.4-0ubuntu2) ... Setting up node-escodegen (2.0.0+dfsg-2) ... Setting up python3-requests (2.27.1+dfsg-1ubuntu2) ... Setting up libgvc6 (2.42.2-7) ... Setting up python3-numpy (1:1.21.5-1build2) ... Setting up libnotify-bin (0.7.12-1) ... Setting up node-d3-brush (1.1.5-3) ... Setting up texlive-binaries (2022.20220321.62855-4) ... 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 node-wide-align (1.1.3-4) ... Setting up texlive-base (2022.20220405-2) ... tl-paper: setting paper size for dvips to a4: /var/lib/texmf/dvips/config/config-paper.ps tl-paper: setting paper size for dvipdfmx to a4: /var/lib/texmf/dvipdfmx/dvipdfmx-paper.cfg tl-paper: setting paper size for xdvi to a4: /var/lib/texmf/xdvi/XDvi-paper tl-paper: setting paper size for pdftex to a4: /var/lib/texmf/tex/generic/tex-ini-files/pdftexconfig.tex Setting up python3-jupyter-core (4.10.0-1) ... Setting up node-cliui (7.0.4+repack+~cs3.1.0-3) ... Setting up python3-all-dev (3.10.4-0ubuntu2) ... Setting up graphviz (2.42.2-7) ... Setting up node-fill-range (7.0.1+~7.0.0-1) ... Setting up node-yargs (16.2.0+~16.0.4-3) ... Setting up python3-importlib-metadata (4.6.4-1) ... Setting up python3-jedi (0.18.0-1) ... Setting up python3-pydot (1.4.2-1build1) ... Setting up dvipng (1.15-1.1) ... Setting up node-growl (1.10.5-4) ... Setting up node-d3 (5.16.0-5) ... Setting up python3-bleach (4.1.0-2) ... Setting up python3-jupyterlab-pygments (0.2.2-1) ... Setting up texlive-latex-base (2022.20220405-2) ... Setting up python3-jsonschema (3.2.0-0ubuntu2) ... Setting up python3-ipython (7.31.1-1) ... Setting up texlive-latex-recommended (2022.20220405-2) ... Setting up texlive-pictures (2022.20220405-2) ... Setting up node-braces (3.0.2+~3.0.1-1) ... Setting up python3-pythran (0.10.0+ds2-8) ... Setting up texlive-fonts-recommended (2022.20220405-2) ... Setting up python3-jupyter-client (7.3.4-1) ... Setting up jupyter-core (4.10.0-1) ... Setting up node-chokidar (3.5.3-2) ... Setting up python3-scipy (1.8.0-1exp2ubuntu1) ... Setting up latexmk (1:4.77-1) ... Setting up texlive-latex-extra (2022.20220405-3) ... Setting up python3-nbformat (5.4.0-2) ... Setting up python3-nbclient (0.6.4-1) ... Setting up node-micromatch (4.0.5+~4.0.2-1) ... Setting up node-globby (13.1.1+~cs16.24.39-8) ... Setting up python3-ipykernel (6.13.1-2) ... Setting up python3-nbconvert (6.4.4-1) ... Setting up node-del (6.0.0-1) ... Setting up mocha (9.2.2+ds1+~cs28.5.6-2) ... Setting up node-find-cache-dir (3.3.2+~3.2.1-1) ... Setting up jupyter-nbconvert (6.4.4-1) ... Setting up node-babel7 (7.12.12+~cs150.141.84-8) ... update-alternatives: using /usr/bin/babeljs-7 to provide /usr/bin/babeljs (babeljs) in auto mode update-alternatives: using /usr/bin/babeljs-7-external-helpers to provide /usr/bin/babeljs-external-helpers (babeljs-external-helpers) in auto mode update-alternatives: using /usr/bin/babeljs-7-node to provide /usr/bin/babeljs-node (babeljs-node) in auto mode update-alternatives: using /usr/bin/babeljs-7-parser to provide /usr/bin/babeljs-parser (babeljs-parser) in auto mode Setting up node-deep-equal (2.0.5+~cs32.11.68-3) ... Setting up libjs-util (0.12.4+~1.0.10-1) ... Setting up node-debbundle-es-to-primitive (1.2.1+~cs9.7.25-2) ... Setting up node-es-abstract (1.19.5+~cs16.21.25-2) ... Setting up node-util (0.12.4+~1.0.10-1) ... Setting up node-assert (2.0.0+~cs2.4.2-1) ... Setting up node-graphlibrary (2.2.0+really2.1.8+dfsg-4) ... Setting up node-parse-json (5.2.0+~cs5.1.7-1) ... Setting up node-dagre-layout (0.8.8+really0.8.5+dfsg-5) ... Setting up node-read-pkg (5.2.0-2) ... Setting up node-istanbul (0.4.5+repack10+~cs97.25.57-3) ... Setting up node-dagre-d3-renderer (0.6.4+dfsg-4) ... Processing triggers for libc-bin (2.35-0ubuntu3) ... Processing triggers for sgml-base (1.30) ... Setting up docutils-common (0.17.1+dfsg-2) ... Processing triggers for sgml-base (1.30) ... Setting up python3-docutils (0.17.1+dfsg-2) ... Setting up python3-sphinx (4.5.0-4) ... Setting up python3-sphinx-rtd-theme (1.0.0+dfsg-1) ... Setting up sbuild-build-depends-main-dummy (0.invalid.0) ... Processing triggers for tex-common (6.17) ... 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. +------------------------------------------------------------------------------+ | Check architectures | +------------------------------------------------------------------------------+ Arch check ok (amd64 included in any all) +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 5.4.0-120-generic #136-Ubuntu SMP Fri Jun 10 13:40:48 UTC 2022 amd64 (x86_64) Toolchain package versions: binutils_2.38.50.20220615-4ubuntu1 dpkg-dev_1.21.8ubuntu1 g++-11_11.3.0-3ubuntu1 gcc-11_11.3.0-3ubuntu1 libc6-dev_2.35-0ubuntu3 libstdc++-11-dev_11.3.0-3ubuntu1 libstdc++6_12.1.0-2ubuntu1 linux-libc-dev_5.15.0-27.28 Package versions: adduser_3.121ubuntu1 advancecomp_2.1-2.1ubuntu2 apt_2.5.0 autoconf_2.71-2 automake_1:1.16.5-1.3 autopoint_0.21-6 autotools-dev_20220109.1 base-files_12.2ubuntu1 base-passwd_3.5.52build1 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xfonts-encodings_1:1.0.5-0ubuntu2 xfonts-utils_1:7.7+6build2 xml-core_0.18+nmu1 xz-utils_5.2.5-2.1 zlib1g_1:1.2.11.dfsg-2ubuntu9 zlib1g-dev_1:1.2.11.dfsg-2ubuntu9 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Format: 3.0 (quilt) Source: theano Binary: python3-theano, theano-doc Architecture: any all Version: 1.0.5+dfsg-5 Maintainer: Debian Science Maintainers Uploaders: Rebecca N. Palmer Homepage: http://www.deeplearning.net/software/theano/ Standards-Version: 4.6.0 Vcs-Browser: https://salsa.debian.org/science-team/theano Vcs-Git: https://salsa.debian.org/science-team/theano.git Testsuite: autopkgtest Testsuite-Triggers: cython3, g++, graphviz, libclblast-dev, libgpuarray-dev, pocl-opencl-icd, python3-nose, python3-parameterized, python3-pkg-resources, python3-pydot, python3-pygpu Build-Depends: debhelper-compat (= 13), dh-python, cython3, python3-dev, python3-setuptools, python3-six, libblas-dev, python3-numpy, python3-scipy, python3-nose, python3-parameterized, python3-pydot, python3-sympy , graphviz, python3-docutils, node-browserify-lite, terser, node-pegjs, node-graphlibrary, node-dagre-d3-renderer, node-lodash, node-istanbul, mocha, chai, libjs-d3 Build-Depends-Indep: dh-sequence-sphinxdoc, python3-sphinx, python3-sphinx-rtd-theme, python3-pygments, dvipng, texlive-latex-extra, texlive-fonts-recommended, tex-gyre, fonts-texgyre, latexmk, rdfind, symlinks, jupyter-nbconvert, python3-ipykernel Package-List: python3-theano deb python optional arch=any theano-doc deb doc optional arch=all Checksums-Sha1: c49e9dd60a031eeae065e770bb3ac9e70ca9aae5 9280688 theano_1.0.5+dfsg.orig.tar.xz b469b76833be5edc4f25c5db1c322a298de9d1b0 67296 theano_1.0.5+dfsg-5.debian.tar.xz Checksums-Sha256: c7db1bcb88fb4d72204a0665dcde7900943e409d538f87aa254ac35aef0d7a13 9280688 theano_1.0.5+dfsg.orig.tar.xz 78602a97ab9aee7e949895d193d3bd8b6e92c8b9465fffdb1e3e3f3ea51f2d1e 67296 theano_1.0.5+dfsg-5.debian.tar.xz Files: 2e32899f338c7524c67a66d2de3fb456 9280688 theano_1.0.5+dfsg.orig.tar.xz 98ea0f261946833a05964a2700639c5e 67296 theano_1.0.5+dfsg-5.debian.tar.xz -----BEGIN PGP SIGNATURE----- iQJMBAEBCgA2FiEEZ8sxEAXE7b4yF1MI3uUNDVZ+omYFAmJYktQYHHJlYmVjY2Ff cGFsbWVyQHpvaG8uY29tAAoJEN7lDQ1WfqJmWJIP/RRL4xLIsep7gSL8RcUTuvGw dYr+Fag1Jny70V449B8F9DR+64cGXDdLSAh0fy31G9+9qpyWLYeyVySMI8+V5CzV 8AhU1a0lWZUBPkSQ7a9w5p10tDW8u7eB2zhaS0aZsO+JRn1p9PypWjOrvq3Hl9gE 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theano_1.0.5+dfsg-5.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 fail-on-test-fail.patch dpkg-source: info: applying bin-in-theano.patch dpkg-source: info: applying sphinx42_compat.patch Check disk space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=noautodbgsym parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-24080442 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-24080442 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-24080442 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- Command: dpkg-buildpackage -us -uc -mLaunchpad Build Daemon -b -rfakeroot dpkg-buildpackage: info: source package theano dpkg-buildpackage: info: source version 1.0.5+dfsg-5 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 dpkg-source: info: using options from theano-1.0.5+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/ debian/rules clean dh clean --with python3 --buildsystem=pybuild debian/rules override_dh_auto_clean make[1]: Entering directory '/<>' mv theano/bin -T bin || true mv: cannot stat 'theano/bin': No such file or directory 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 '/<>/debian/missing-source/graphlib-dot' rm -rf build make[2]: Leaving directory '/<>/debian/missing-source/graphlib-dot' dh_auto_clean I: pybuild base:239: python3.10 setup.py clean /<>/setup.py:11: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.util import convert_path running clean removing '/<>/.pybuild/cpython3_3.10_theano/build' (and everything under it) 'build/bdist.linux-x86_64' does not exist -- can't clean it 'build/scripts-3.10' does not exist -- can't clean it make[1]: Leaving directory '/<>' dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --with python3 --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild I: pybuild base:239: python3.10 setup.py config /<>/setup.py:11: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.util import convert_path running config debian/rules override_dh_auto_build make[1]: Entering directory '/<>' # note this assumes all modules referenced via 'node_modules' are under /usr/share, not /usr/lib ln -s /usr/share/nodejs debian/missing-source/graphlib-dot/node_modules #graphlib-dot.js cd debian/missing-source && patch -p1 < js_fixes.diff patching file graphlib-dot/Makefile make -C debian/missing-source/graphlib-dot --always-make dist make[2]: Entering directory '/<>/debian/missing-source/graphlib-dot' pegjs --allowed-start-rules "start,graphStmt" -o lib/dot-grammar.js src/dot-grammar.pegjs ./node_modules/istanbul/lib/cli.js cover --dir build/cov --report html ./node_modules/mocha/bin/_mocha --dir build/cov -- -R dot test/version-test.js test/chai.js test/read-one-test.js test/write-test.js test/read-many-test.js || ./node_modules/mocha/bin/_mocha -R dot test/version-test.js test/chai.js test/read-one-test.js test/write-test.js test/read-many-test.js ........................................................ .................. 74 passing (167ms) ============================================================================= Writing coverage object [/<>/debian/missing-source/graphlib-dot/build/cov/coverage.json] Writing coverage reports at [/<>/debian/missing-source/graphlib-dot/build/cov] ============================================================================= =============================== Coverage summary =============================== Statements : 84.76% ( 1518/1791 ) Branches : 74.05% ( 585/790 ) Functions : 89.17% ( 107/120 ) Lines : 86.18% ( 1472/1708 ) ================================================================================ browserify-lite ./browser.js --outfile build/graphlib-dot.js terser build/graphlib-dot.js --comments '@license' > build/graphlib-dot.min.js cp build/graphlib-dot.js build/graphlib-dot.min.js dist make[2]: Leaving directory '/<>/debian/missing-source/graphlib-dot' cp debian/missing-source/graphlib-dot/dist/graphlib-dot.min.js theano/d3viz/js cd debian/missing-source && patch -p1 -R < js_fixes.diff patching file graphlib-dot/Makefile #dagre-d3.js cp /usr/share/nodejs/dagre-d3/dist/dagre-d3.min.js theano/d3viz/js #d3 - workaround for #745688 terser /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 # put the scripts in theano not a generic directory - #967006 mv bin -T theano/bin #the cython code is the only part of theano itself that needs building - the C code is runtime compiled cd /<>/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: /<>/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 /<>/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 /<>/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 /<>/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 /<>/doc/library/d3viz/index.ipynb jupyter_tmp && jupyter-nbconvert --to notebook --execute /<>/jupyter_tmp/index.ipynb --output /<>/jupyter_tmp/test.ipynb [NbConvertApp] Converting notebook /<>/jupyter_tmp/index.ipynb to notebook [IPKernelApp] WARNING | debugpy_stream undefined, debugging will not be enabled [NbConvertApp] Writing 190400 bytes to /<>/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 798177 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 v4.5.0 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: [new config] 181 added, 0 changed, 0 removed reading sources... 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[100%] updating /<>/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnConvDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sandbox/linalg/ops.py:docstring of theano.sandbox.linalg.ops.HintsOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.ConstructSparseFromList.make_node:8: ERROR: Unexpected indentation. /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.argsort:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.argsort, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.dimshuffle:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.dimshuffle, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor._tensor_py_operators.dtype:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.dtype, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor._tensor_py_operators.ndim:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.ndim, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.nonzero:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.nonzero, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.nonzero_values:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.nonzero_values, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.repeat:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.repeat, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.reshape:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.reshape, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.round:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.round, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.sort:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.sort, other instance in library/tensor/basic, use :noindex: for one of them /<>/doc/library/tensor/basic.txt:812: WARNING: duplicate object description of theano.tensor.stack, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/io.py:docstring of theano.tensor.io.MPIRecv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/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. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.FusionOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.InplaceElemwiseOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.ShapeOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:19: ERROR: Unknown target name: "py". /<>/doc/library/tensor/signal/conv.txt:19: WARNING: duplicate object description of conv, other instance in library/tensor/nnet/conv, use :noindex: for one of them /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:12: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:19: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:12: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:19: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:12: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:19: ERROR: Unknown target name: "py". looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... 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[ 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 /<>/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:19: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnConvDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuTri.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:19: ERROR: Unknown target name: "py". /<>/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:12: ERROR: Unknown target name: "py". /<>/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sandbox/linalg/ops.py:docstring of theano.sandbox.linalg.ops.HintsOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.ConstructSparseFromList.make_node:8: ERROR: Unexpected indentation. /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:19: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:12: ERROR: Unknown target name: "py". /<>/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.argsort:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.argsort, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.dimshuffle:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.dimshuffle, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor._tensor_py_operators.dtype:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.dtype, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor._tensor_py_operators.ndim:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.ndim, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.nonzero:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.nonzero, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.nonzero_values:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.nonzero_values, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.repeat:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.repeat, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.reshape:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.reshape, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.round:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.round, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/var.py:docstring of theano.tensor.var._tensor_py_operators.sort:1: WARNING: duplicate object description of theano.tensor._tensor_py_operators.sort, other instance in library/tensor/basic, use :noindex: for one of them /<>/doc/library/tensor/basic.txt:812: WARNING: duplicate object description of theano.tensor.stack, other instance in library/tensor/basic, use :noindex: for one of them /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/io.py:docstring of theano.tensor.io.MPIRecv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /<>/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. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.FusionOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.InplaceElemwiseOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.ShapeOptimizer.add_requirements:3: ERROR: Unexpected indentation. /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:19: ERROR: Unknown target name: "py". /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:12: ERROR: Unknown target name: "py". /<>/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:19: ERROR: Unknown target name: "py". /<>/doc/library/tensor/signal/conv.txt:19: WARNING: duplicate object description of conv, other instance in library/tensor/nnet/conv, use :noindex: for one of them /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:12: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:19: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:12: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:19: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:12: ERROR: Unknown target name: "py". /<>/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:19: ERROR: 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 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[47] Underfull \hbox (badness 10000) in paragraph at lines 3351--3353 []\T1/qtm/b/n/10.95 byte\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 bscalar, bvector , bmatrix, brow, bcol, btensor3, btensor4, btensor5, Underfull \hbox (badness 10000) in paragraph at lines 3355--3357 []\T1/qtm/b/n/10.95 16-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 wsc alar, wvector, wmatrix, wrow, wcol, wtensor3, wtensor4, Underfull \hbox (badness 10000) in paragraph at lines 3359--3361 []\T1/qtm/b/n/10.95 32-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 isc alar, ivector, imatrix, irow, icol, itensor3, itensor4, Underfull \hbox (badness 10000) in paragraph at lines 3363--3365 []\T1/qtm/b/n/10.95 64-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 lsc alar, lvector, lmatrix, lrow, lcol, ltensor3, ltensor4, Underfull \hbox (badness 10000) in paragraph at lines 3367--3369 []\T1/qtm/b/n/10.95 float\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 fscalar, fvecto r, fmatrix, frow, fcol, ftensor3, ftensor4, ftensor5, Underfull \hbox (badness 10000) in paragraph at lines 3371--3373 []\T1/qtm/b/n/10.95 dou-ble\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 dscalar, dvec tor, dmatrix, drow, dcol, dtensor3, dtensor4, dtensor5, LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on page 48 undefined on input line 3382. 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[55] LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:theano.tens or.shared_randomstreams.RandomStreams' on page 56 undefined on input line 3913. LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:theano.sandbox.rng_mrg. MRG_RandomStreams' on page 56 undefined on input line 3914. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [56] LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran dom' on page 57 undefined on input line 3983. LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:libdoc-rng-mrg' on page 57 undefined on input line 3989. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[69] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [70] Overfull \vbox (3.2621pt too high) detected at line 4839 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [71] Overfull \vbox (3.2621pt too high) detected at line 4889 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[75] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [76] LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 77 unde fined on input line 5195. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [77 <./bcast.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[85] LaTeX Warning: Hyper reference `tutorial/aliasing:borrowfunction' on page 86 un defined on input line 5698. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [86] LaTeX Warning: Hyper reference `tutorial/aliasing:aliasing' on page 87 undefine d on input line 5820. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [87] LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 88 undefine d on input line 5891. 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[95] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [96 <./numerical_no_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [97] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[104 <./full_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [105 <./no_padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [106 <./padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [107 <./padding_strides_odd.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [108] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [109] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [110] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [111] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [112 <./no_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [113 <./arbitrary_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [114] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [115 <./same_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [116] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [117 <./full_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [118 <./no_padding_strides_transposed.pdf>] LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship8' on page 119 undefined on input line 7429. LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship11' on pag e 119 undefined on input line 7430. 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[121 <./padding_strides_odd_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [122 <./dilation.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [123] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [124 <./sep2D.jpg>] LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 125 undefined on input line 7779. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [125] LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 126 undefined on input line 7791. LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 126 und efined on input line 7795. LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 126 undef ined on input line 7809. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[132] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [133 <./logreg_pydotprint_prediction2.png>] LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 134 undefined on input line 8523. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [134 <./logreg_pydotprint_predict2.png> <./logreg_pydotprint_train2.png>] LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 135 und efined on input line 8544. 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[137] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [138] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [139] LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 140 undefined on input line 8846. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [140] LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on page 141 undefined on input line 8861. LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 141 undefined on input line 8864. LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 141 u ndefined on input line 8867. LaTeX Warning: Hyper reference `library/config:config.mode' on page 141 undefin ed on input line 8875. LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 141 u ndefined on input line 8879. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [141] Underfull \hbox (badness 10000) in paragraph at lines 8926--8929 []\T1/qtm/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: Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [142] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [143] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [147] Overfull \hbox (160.82112pt too wide) in paragraph at lines 9333--9333 [] Underfull \hbox (badness 10000) in paragraph at lines 9333--9333 Underfull \hbox (badness 10000) in paragraph at lines 9399--9401 []\T1/qtm/m/n/10.95 THEANO_FLAGS=optimizer_excluding=fusion:inplace,profile=Tru e python Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [148] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un defined on input line 9464. 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LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 154 undef ined on input line 9781. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 154 un defined on input line 9781. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 154 undef ined on input line 9783. Overfull \vbox (2.55638pt too high) detected at line 9854 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [154] LaTeX Warning: Hyper reference `tutorial/gradients:tutcomputinggrads' on page 1 55 undefined on input line 9883. LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 15 5 undefined on input line 9908. LaTeX Warning: Hyper reference `optimizations:optimizations' on page 155 undefi ned on input line 9908. 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[156 <./symbolic_graph_unopt.png> <./symbolic_graph_opt.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [157] LaTeX Warning: Hyper reference `library/misc/pkl_utils:theano.misc.pkl_utils.du mp' on page 158 undefined on input line 10112. LaTeX Warning: Hyper reference `library/misc/pkl_utils:theano.misc.pkl_utils.lo ad' on page 158 undefined on input line 10112. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [158] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [159] Overfull \vbox (2.55638pt too high) detected at line 10256 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [160] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [161] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [162] LaTeX Warning: Hyper reference `library/gpuarray/type:libdoc-gpuarray-type' on page 163 undefined on input line 10421. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [163] LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 164 undef ined on input line 10526. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[170] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [171] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [172] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [173] LaTeX Warning: Hyper reference `extending/op:props__' on page 174 undefined on input line 11194. 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[181] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [182] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [183] Underfull \hbox (badness 10000) in paragraph at lines 11999--12003 \T1/qtm/m/n/10.95 NPY_ARRAY_F_CONTIGUOUS, NPY_ARRAY_OWNDATA, NPY_ARRAY_ALIGNED, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [184] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [185] LaTeX Warning: Hyper reference `extending/cop:cop' on page 186 undefined on inp ut line 12113. LaTeX Warning: Hyper reference `extending/cop:Op.c_libraries' on page 186 undef ined on input line 12118. LaTeX Warning: Hyper reference `extending/cop:Op.c_lib_dirs' on page 186 undefi ned on input line 12118. LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cleanup' on page 186 un defined on input line 12123. LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code' on page 186 undef ined on input line 12128. LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_apply' on page 186 undefined on input line 12128. LaTeX Warning: Hyper reference `extending/cop:Op.c_compile_args' on page 186 un defined on input line 12134. LaTeX Warning: Hyper reference `extending/cop:Op.c_no_compile_args' on page 186 undefined on input line 12135. LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 186 undefined on input line 12141. LaTeX Warning: Hyper reference `extending/cop:Op.c_support_code' on page 186 un defined on input line 12142. LaTeX Warning: Hyper reference `extending/cop:Op.c_support_code_apply' on page 186 undefined on input line 12142. LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cache_version' on page 186 undefined on input line 12143. Underfull \hbox (badness 10000) in paragraph at lines 12140--12146 []\T1/qtm/m/n/10.95 This sec-tion de-scribes the meth-ods \T1/txtt/m/sl/10.95 O p.c_code()\T1/qtm/m/n/10.95 , \T1/txtt/m/sl/10.95 Op.c_support_code()\T1/qtm/m/ n/10.95 , \T1/txtt/m/sl/10.95 Op. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 186 un defined on input line 12157. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [186] Underfull \hbox (badness 10000) in paragraph at lines 12298--12302 []\T1/qtm/m/n/10.95 When de-vel-op-ing an Op, you should run com-pu-ta-tions in De-bug-Mode, by us-ing ar-gu-ment Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [187] Overfull \vbox (2.26854pt too high) detected at line 12437 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [188] Underfull \vbox (badness 10000) detected at line 12437 Overfull \vbox (4.0622pt too high) detected at line 12437 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [189] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cache_version' on page 193 undefined on input line 12622. Underfull \hbox (badness 10000) in paragraph at lines 12620--12624 []\T1/qtm/m/n/10.95 It can au-to-mat-i-cally han-dle all the meth-ods that re-t urn C code, in ad-di-tion to \T1/txtt/m/sl/10.95 Op. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [193] Underfull \vbox (badness 6493) detected at line 12742 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [194] Underfull \vbox (badness 10000) detected at line 12742 Overfull \vbox (4.0622pt too high) detected at line 12742 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [195] LaTeX Warning: Hyper reference `extending/cop:Op' on page 196 undefined on inpu t line 12756. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [196] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 197 un defined on input line 12845. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [197] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 198 un defined on input line 12940. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [198] LaTeX Warning: Hyper reference `extending/other_ops:alternate-theano-types' on page 199 undefined on input line 13007. 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[201] LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 202 undefined on input line 13193. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 202 undefined on input line 13198. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 202 undefined on input line 13206. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 202 un defined on input line 13221. LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraph' on page 2 02 undefined on input line 13222. LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 20 2 undefined on input line 13227. LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on page 202 undefined on input line 13230. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[205] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [206] LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 207 und efined on input line 13720. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `\sphinxtitleref' on input line 13731. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [207] LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 20 8 undefined on input line 13817. 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LaTeX Warning: Hyper reference `extending/op:make_node' on page 213 undefined o n input line 14271. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [213] LaTeX Warning: Hyper reference `extending/op:perform' on page 214 undefined on input line 14389. LaTeX Warning: Hyper reference `library/gradient:theano.gradient.grad_undefined ' on page 214 undefined on input line 14432. LaTeX Warning: Hyper reference `library/gradient:theano.gradient.grad_not_imple mented' on page 214 undefined on input line 14433. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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LaTeX Warning: Hyper reference `extending/op:R_op' on page 218 undefined on inp ut line 14775. LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 218 undefin ed on input line 14778. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [218] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 219 undef ined on input line 14864. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [219] LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 220 undefined on input line 14928. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 220 undefined on input line 14929. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [220] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [221] LaTeX Warning: Hyper reference `glossary:term-View' on page 222 undefined on in put line 15035. LaTeX Warning: Hyper reference `glossary:term-Inplace' on page 222 undefined on input line 15036. 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[227] LaTeX Warning: Hyper reference `library/typed_list:libdoc-typed-list' on page 2 28 undefined on input line 15523. LaTeX Warning: Hyper reference `library/scalar/index:libdoc-scalar' on page 228 undefined on input line 15530. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [228] LaTeX Warning: Hyper reference `extending/other_ops:sparse-ops' on page 229 und efined on input line 15536. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Generic' on pa ge 229 undefined on input line 15543. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.CDataType' on page 229 undefined on input line 15549. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 229 und efined on input line 15561. 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[266] LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 267 u ndefined on input line 18580. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [267] Underfull \hbox (badness 10000) in paragraph at lines 18618--18620 []\T1/txtt/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compi ling): 7. LaTeX Warning: Hyper reference `library/config:config.profile_optimizer' on pag e 268 undefined on input line 18644. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[280] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [281] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [282] LaTeX Warning: Hyper reference `library/config:config.mode' on page 283 undefin ed on input line 19485. LaTeX Warning: Hyper reference `library/config:module-config' on page 283 undef ined on input line 19486. LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 283 undefined on input line 19489. 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[285] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [286] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [287] LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on page 288 undefined on input line 19848. LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 288 undefined on input line 19852. LaTeX Warning: Hyper reference `extending/scan:scan-internals-optimizations' on page 288 undefined on input line 19857. 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[289] Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Type of Underfull \hbox (badness 5331) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 scan vari- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 in-ner in-put Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 at timestep \T1/qhv/m/it/10.95 t Underfull \hbox (badness 7595) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 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[]\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Singly- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 (value at Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 at pre-vi-ous Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 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[298] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [299] LaTeX Warning: Hyper reference `library/tensor/elemwise:theano.tensor.elemwise. Elemwise' on page 300 undefined on input line 20817. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [300] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 301 undefined on input line 20932. LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 301 undefi ned on input line 20984. 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[358] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [359] LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 360 undefined on input line 27662. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [360] LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.d3viz.d3viz' o n page 361 undefined on input line 27685. LaTeX Warning: Hyper reference `library/d3viz/index:module-theano.d3viz.d3viz' on page 361 undefined on input line 27686. 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[435] Underfull \hbox (badness 10000) in paragraph at lines 36139--36146 \T1/qtm/m/n/10.95 This gen-er-ates the C code for Gpu-Corr3dMM (di-rec-tion=^^Q forward^^Q), Gpu- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[482] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [483] LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 484 undefined on input line 41831. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv3d' on page 484 undefined on input line 41831. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adweight' on page 484 undefined on input line 41835. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adweight3d' on page 484 undefined on input line 41835. Underfull \hbox (badness 10000) in paragraph at lines 41834--41836 []\T1/txtt/m/sl/10.95 theano.gpuarray.dnn.dnn_gradweight()\T1/qtm/m/n/10.95 , \ T1/txtt/m/sl/10.95 theano.gpuarray.dnn. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adinput' on page 484 undefined on input line 41839. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adinput3d' on page 484 undefined on input line 41839. Underfull \hbox (badness 10000) in paragraph at lines 41838--41840 []\T1/txtt/m/sl/10.95 theano.gpuarray.dnn.dnn_gradinput()\T1/qtm/m/n/10.95 , \T 1/txtt/m/sl/10.95 theano.gpuarray.dnn. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_po ol' on page 484 undefined on input line 41849. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba tch_normalization_train' on page 484 undefined on input line 41859. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba tch_normalization_test' on page 484 undefined on input line 41863. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.RNNBlo ck' on page 484 undefined on input line 41873. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.GpuDnn Softmax' on page 484 undefined on input line 41883. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_sp atialtf' on page 484 undefined on input line 41893. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [484] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [485] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 486 undefined on input line 42065. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 486 undefined on input line 42096. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 486 undefined on input line 42127. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [486] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 487 undefined on input line 42158. Underfull \hbox (badness 10000) in paragraph at lines 42179--42182 []\T1/qtm/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 LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 487 undefined on input line 42189. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 487 undefined on input line 42257. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [487] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 488 undefined on input line 42315. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 488 undefined on input line 42346. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [488] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 489 undefined on input line 42377. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 489 undefined on input line 42408. Underfull \hbox (badness 10000) in paragraph at lines 42429--42432 []\T1/qtm/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 LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 489 undefined on input line 42439. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 489 undefined on input line 42462. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [489] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [490] Underfull \hbox (badness 10000) in paragraph at lines 42649--42652 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 small\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 large\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft_ tiling\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 42649--42652 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 winograd\TS1/txtt/m/sl/10.95 '\T1/txt t/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_once\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 491 undefined on input line 42702. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [491] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 492 undefined on input line 42755. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 492 undefined on input line 42786. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 492 undefined on input line 42817. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 492 undefined on input line 42848. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [492] Underfull \hbox (badness 10000) in paragraph at lines 42869--42872 []\T1/qtm/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 LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 493 undefined on input line 42879. Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 deterministic\TS1/txtt/m/sl/10.95 '\T1 /txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m/sl/ 10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft_tili ng\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 winograd\TS1/txtt/m/sl/10.95 '\T1/txt t/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_once\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 \T1/qtm/m/n/10.95 `time_on_shape_change'} De-fault is the value of \T1/txtt/m/n /10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 42991--42994 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 deterministic\TS1/txtt/m/sl/10.95 '\T1 /txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m/sl/ 10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 small\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 guess_once\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^ U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [493] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [494] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 495 undefined on input line 43210. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [495] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 496 undefined on input line 43271. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 496 undefined on input line 43302. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 496 undefined on input line 43333. Underfull \hbox (badness 10000) in paragraph at lines 43354--43357 []\T1/qtm/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 LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 496 undefined on input line 43364. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [496] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [497] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [498] LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.GpuDnn TransformerGrid' on page 499 undefined on input line 43764. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [499] LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA rraySharedVariable' on page 500 undefined on input line 43924. Underfull \hbox (badness 7064) in paragraph at lines 43961--43966 \T1/qtm/m/it/10.95 puts\T1/qtm/m/n/10.95 , but have sizes of \T1/qtm/m/it/10.95 1 \T1/qtm/m/n/10.95 for all axes nor-mal-ized over (i.e., in the Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [500] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [501] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[502] Underfull \hbox (badness 10000) in paragraph at lines 44186--44190 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 small\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 large\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 gues s_once\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 44186--44190 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_on_shape_change\TS1/txtt/m/sl/1 0.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 time_once \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl /10.95 time_on_shape_change\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m /n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 44192--44197 []\T1/txtt/bx/n/10.95 precision \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input_f32\TS1/txtt/m/sl/10.95 '\T1/txtt/m /sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input\TS1/txtt/m/sl/10 .95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 float16\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 float32\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [503] Underfull \hbox (badness 10000) in paragraph at lines 44273--44275 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 convolution i mplementation to use. Only \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/t xtt/m/sl/10.95 ' \T1/txtt/m/sl/10.95 is Underfull \hbox (badness 10000) in paragraph at lines 44277--44282 []\T1/txtt/bx/n/10.95 precision \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input_f32\TS1/txtt/m/sl/10.95 '\T1/txtt/m /sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input\TS1/txtt/m/sl/10 .95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 float16\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 float32\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [504] Underfull \hbox (badness 10000) in paragraph at lines 44380--44382 []\T1/txtt/bx/n/10.95 mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 max\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \T S1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 average_inc_pad\TS1/txtt/m/sl/10.95 '\T 1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 average_exc_pad\T S1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 sum\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [505] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[557] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 558 undefined on input line 50501. LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:theano.sandbox.rng_mrg. MRG_RandomStreams.normal' on page 558 undefined on input line 50511. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [558] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 559 undefined on input line 50643. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[570] LaTeX Warning: Hyper reference `library/scan:lib-scan-shared-variables' on page 571 undefined on input line 51483. LaTeX Warning: Hyper reference `library/scan:lib-scan-strict' on page 571 undef ined on input line 51484. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [571] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [572] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[621] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [622] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [623] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [624] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [625] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 626 undefined on input line 57962. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [626] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [627] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [628] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 629 undefined on input line 58216. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [629] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 630 undefined on input line 58321. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 630 undefined on input line 58410. 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[638] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.reshape' on page 639 undefined on input line 60614. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.flatten' on page 639 undefined on input line 60686. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [639] Overfull \hbox (2.4627pt too wide) in paragraph at lines 60785--60785 []\T1/txtt/bx/n/10.95 copy() Return a new symbolic variable that is a copy of t he variable. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [640] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [641] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [642] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [643] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [644] LaTeX Warning: Hyper reference `library/tensor/basic:id1' on page 645 undefined on input line 61545. Underfull \hbox (badness 5802) in paragraph at lines 61543--61547 []\T1/qtm/m/n/10.95 To re-order the di-men-sions of a vari-able, to in-sert or re-move broad-castable di-men-sions, see LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast' on page 645 undefined on input line 61606. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast' on page 645 undefined on input line 61626. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast' on page 645 undefined on input line 61646. 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[659] LaTeX Warning: Hyper reference `glossary:term-Shared-Variable' on page 660 unde fined on input line 63248. LaTeX Warning: Hyper reference `library/index:theano.function' on page 660 unde fined on input line 63249. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [660] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [661] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[668] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.tensordot' o n page 669 undefined on input line 64351. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.batched_dot' on page 669 undefined on input line 64351. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [669] LaTeX Warning: Hyper reference `library/gradient:module-gradient' on page 670 u ndefined on input line 64448. LaTeX Warning: Hyper reference `extending/op:grad' on page 670 undefined on inp ut line 64449. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 670 undefined on input line 64454. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 670 undefined on input line 64459. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [670] LaTeX Warning: Hyper reference `library/gradient:libdoc-gradient' on page 671 u ndefined on input line 64557. LaTeX Warning: Hyper reference `library/tensor/signal/conv:theano.tensor.signal .conv.conv2d' on page 671 undefined on input line 64581. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v2d' on page 671 undefined on input line 64582. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v2d' on page 671 undefined on input line 64597. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v3d' on page 671 undefined on input line 64601. LaTeX Warning: Hyper reference `library/gpuarray/dnn:libdoc-gpuarray-dnn' on pa ge 671 undefined on input line 64608. Underfull \hbox (badness 10000) in paragraph at lines 64616--64620 []\T1/qtm/m/n/10.95 Ei-ther cuDNN and the gemm ver-sion can be dis-abled us-ing the Theano flags Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [671] LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v.conv2d' on page 672 undefined on input line 64666. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.blas.GpuCor rMM' on page 672 undefined on input line 64671. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 672 undefined on input line 64692. 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[672] Underfull \hbox (badness 10000) in paragraph at lines 64775--64780 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 or 6 of int or Underfull \hbox (badness 10000) in paragraph at lines 64791--64794 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 64795--64800 []\T1/qtm/m/n/10.95 rows Underfull \hbox (badness 10000) in paragraph at lines 64801--64804 []\T1/qtm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 64805--64808 []\T1/txtt/m/n/10.95 int2\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 64809--64813 []\T1/qtm/m/n/10.95 pad in-put Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [673] Underfull \hbox (badness 10000) in paragraph at lines 64830--64832 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [674] Underfull \hbox (badness 10000) in paragraph at lines 64915--64920 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 64922--64928 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 str, i nt or tuple of two int\T1/qtm/m/n/10.95 ) ^^U Refers to the Underfull \hbox (badness 10000) in paragraph at lines 64922--64928 \T1/txtt/m/n/10.95 border_mode \T1/qtm/m/n/10.95 ar-gu-ment of the cor-re-spond -ing for-ward (non-transposed) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [675] Underfull \hbox (badness 10000) in paragraph at lines 65012--65017 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 65019--65024 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 65035--65038 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 65045--65048 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [676] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [677] Underfull \hbox (badness 10000) in paragraph at lines 65207--65212 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int, None or Underfull \hbox (badness 10000) in paragraph at lines 65214--65218 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int, None or LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 678 undefined on input line 65268. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [681] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 682 undefined on input line 65570. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 682 undefined on input line 65588. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 682 undefined on input line 65652. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [682] Underfull \hbox (badness 10000) in paragraph at lines 65728--65732 []\T1/qtm/m/n/10.95 bor-der of Underfull \hbox (badness 10000) in paragraph at lines 65733--65736 []\T1/txtt/m/n/10.95 int1\T1/qtm/m/n/10.95 , \T1/txtt/m/n/10.95 int2 \T1/qtm/m/ n/10.95 and Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [683] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [684] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[687] Underfull \hbox (badness 10000) in paragraph at lines 66211--66215 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric) corresponding Underfull \hbox (badness 10000) in paragraph at lines 66236--66239 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 66241--66244 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [688] LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v2d' on page 689 undefined on input line 66290. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [689] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [690] Underfull \hbox (badness 10000) in paragraph at lines 66485--66491 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 [None /int/Constant] * (2 or 4) + [Tensor/int/ Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[692] Underfull \hbox (badness 10000) in paragraph at lines 66636--66641 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 66643--66648 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 66659--66662 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 66669--66672 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [693] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [694] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [695] Underfull \hbox (badness 10000) in paragraph at lines 66900--66906 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 [None /int/Constant] * 2 + [Tensor/int/Constant] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [696] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [697] Underfull \hbox (badness 10000) in paragraph at lines 67098--67101 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67103--67106 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67108--67110 []\T1/txtt/bx/n/10.95 num_groups \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 An int which specifies the number of separate Underfull \hbox (badness 10000) in paragraph at lines 67112--67114 []\TS1/txtt/bx/n/10.95 '\T1/txtt/bx/n/10.95 unshared\TS1/txtt/bx/n/10.95 ' \T1/ qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Note [] The shape of the convolution output does Underfull \hbox (badness 10000) in paragraph at lines 67146--67148 []\T1/txtt/bx/n/10.95 kernel_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int o r None. Corresponds to the kernel shape on Underfull \hbox (badness 10000) in paragraph at lines 67150--67152 []\T1/txtt/bx/n/10.95 top_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int or N one. Corresponds to the top shape on a Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [698] Underfull \hbox (badness 10000) in paragraph at lines 67154--67159 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Underfull \hbox (badness 10000) in paragraph at lines 67199--67203 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int corresponding to the input image Underfull \hbox (badness 10000) in paragraph at lines 67218--67221 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67223--67226 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67228--67230 []\T1/txtt/bx/n/10.95 num_groups \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 An int which specifies the number of separate Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [699] Underfull \hbox (badness 10000) in paragraph at lines 67272--67274 []\T1/txtt/bx/n/10.95 top_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int or N one. Corresponds to the top shape on a Underfull \hbox (badness 10000) in paragraph at lines 67276--67281 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Underfull \hbox (badness 10000) in paragraph at lines 67316--67320 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric) corresponding Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [700] Underfull \hbox (badness 10000) in paragraph at lines 67340--67343 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67345--67347 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67349--67351 []\TS1/txtt/bx/n/10.95 '\T1/txtt/bx/n/10.95 unshared\TS1/txtt/bx/n/10.95 ' \T1/ qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Note [] The shape of the convolution output does Underfull \hbox (badness 10000) in paragraph at lines 67383--67385 []\T1/txtt/bx/n/10.95 kernel_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int o r None. Corresponds to the kernel shape on Underfull \hbox (badness 10000) in paragraph at lines 67387--67392 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [701] Underfull \hbox (badness 10000) in paragraph at lines 67450--67455 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 67457--67462 []\T1/txtt/bx/n/10.95 depthwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 4 of int or Underfull \hbox (badness 10000) in paragraph at lines 67464--67469 []\T1/txtt/bx/n/10.95 pointwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 4 of int or Underfull \hbox (badness 10000) in paragraph at lines 67481--67484 []\T1/qtm/m/n/10.95 Gen-er-ates Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [702] Underfull \hbox (badness 10000) in paragraph at lines 67485--67490 []\T1/qtm/m/n/10.95 rows Underfull \hbox (badness 10000) in paragraph at lines 67491--67494 []\T1/qtm/m/n/10.95 width, then Underfull \hbox (badness 5203) in paragraph at lines 67495--67498 []\T1/qtm/m/n/10.95 and \T1/txtt/m/n/10.95 int2 Underfull \hbox (badness 10000) in paragraph at lines 67499--67503 []\T1/qtm/m/n/10.95 pad in-put with one Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [703] Underfull \hbox (badness 10000) in paragraph at lines 67579--67584 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 67586--67591 []\T1/txtt/bx/n/10.95 depthwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 67593--67598 []\T1/txtt/bx/n/10.95 pointwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 67610--67613 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 67620--67623 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [704] LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 705 undefined on input line 67677. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.ultra_fast_sigmoid' on page 705 undefined on input line 67681. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.hard_sigmoid' on page 705 undefined on input line 67685. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.softplus' on page 705 undefined on input line 67695. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.softmax' on page 705 undefined on input line 67699. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.softsign' on page 705 undefined on input line 67703. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.rel u' on page 705 undefined on input line 67707. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.elu ' on page 705 undefined on input line 67711. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.sel u' on page 705 undefined on input line 67715. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.binary_crossentropy' on page 705 undefined on input line 67719. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid_binary_crossentropy' on page 705 undefined on input line 67723. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.categorical_crossentropy' on page 705 undefined on input line 67727. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.h_s oftmax' on page 705 undefined on input line 67731. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.ultra_fast_sigmoid' on page 705 undefined on input line 67764. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.hard_sigmoid' on page 705 undefined on input line 67764. Underfull \hbox (badness 10000) in paragraph at lines 67785--67787 []\T1/qtm/m/n/10.95 Pre-ci-sion: sig-moid(with or with-out amdlibm) > ul-tra_fa st_sigmoid > Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [705] LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 706 undefined on input line 67820. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 706 undefined on input line 67835. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [706 <./sigmoid_prec.png>] LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 707 undefined on input line 67869. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 707 undefined on input line 67884. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [707] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [708] Underfull \hbox (badness 10000) in paragraph at lines 68159--68162 []\T1/qtm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [709] Underfull \hbox (badness 10000) in paragraph at lines 68207--68210 []\T1/qtm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [710] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [711] Underfull \hbox (badness 10000) in paragraph at lines 68362--68365 []\T1/txtt/bx/n/10.95 W1 \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of shape (number of features of the input x, Underfull \hbox (badness 10000) in paragraph at lines 68371--68375 []\T1/txtt/bx/n/10.95 W2 \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of shape (n_classes, number of features of the Underfull \hbox (badness 10000) in paragraph at lines 68381--68387 []\T1/txtt/bx/n/10.95 target \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of s hape either (batch_size,) or (batch_size, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [712] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [713] LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:theano.tensor.nn et.neighbours.images2neibs' on page 714 undefined on input line 68486. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [714] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [715] LaTeX Warning: Hyper reference `library/tensor/basic:indexing' on page 716 unde fined on input line 68695. LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 716 undefined on input line 68699. Underfull \hbox (badness 5431) in paragraph at lines 68720--68726 []\T1/txtt/bx/n/10.95 axes \T1/qtm/m/n/10.95 (\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 per[]activation\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 spatial\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.9 5 or a tuple of ints\T1/qtm/m/n/10.95 ) ^^U The axes Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [716] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [717] Underfull \hbox (badness 5431) in paragraph at lines 68837--68843 []\T1/txtt/bx/n/10.95 axes \T1/qtm/m/n/10.95 (\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 per[]activation\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 spatial\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.9 5 or a tuple of ints\T1/qtm/m/n/10.95 ) ^^U The axes Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [718] LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba tch_normalization_train' on page 719 undefined on input line 68908. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [719] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [720 <./blocksparse.png>] Underfull \hbox (badness 10000) in paragraph at lines 69074--69077 []\T1/qtm/m/n/10.95 Which blocks LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 721 undefined on input line 69126. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [721] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [722] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 723 undefined on input line 69278. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [723] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [724] Underfull \hbox (badness 10000) in paragraph at lines 69482--69485 []\T1/qtm/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 725 undefined on input line 6949 7. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [725] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [726] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [727] LaTeX Warning: Hyper reference `tutorial/examples:using-random-numbers' on page 728 undefined on input line 69914. Overfull \hbox (3.51373pt too wide) in paragraph at lines 69923--69923 []\T1/qtm/m/it/10.95 raw_random.RandomStreamsBase\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [728] LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:theano.tens or.shared_randomstreams.RandomVariable' on page 729 undefined on input line 699 79. LaTeX Warning: Hyper reference `library/tensor/signal/conv:theano.tensor.signal .conv.conv2d' on page 729 undefined on input line 70065. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v.conv2d' on page 729 undefined on input line 70066. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [729] Underfull \hbox (badness 10000) in paragraph at lines 70097--70099 []\T1/txtt/bx/n/10.95 filters \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Symbolic t heano tensor for convolution filter(s).\T1/qtm/m/n/10.95 ) ^^U LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:theano.tensor.nn et.neighbours.images2neibs' on page 730 undefined on input line 70159. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [730] Underfull \hbox (badness 10000) in paragraph at lines 70188--70191 []\T1/txtt/bx/n/10.95 ignore_border \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 bool (default None, will print a warning and Underfull \hbox (badness 5460) in paragraph at lines 70193--70198 []\T1/txtt/bx/n/10.95 stride \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of tw o ints or theano vector of ints of size 2.\T1/qtm/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 70200--70204 []\T1/txtt/bx/n/10.95 pad \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of two i nts or theano vector of ints of size 2.\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. 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[750] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 751 undefined on input line 72533. LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.searchsorted' on page 751 undefined on input line 72553. LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.searchsorted' on page 751 undefined on input line 72560. LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 751 undefined on input line 72620. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [751] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 752 undefined on input line 72686. 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[758] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [759] LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.ravel_multi_index' on page 760 undefined on input line 73597. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.load' on pag e 760 undefined on input line 73614. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.LoadFromDisk ' on page 760 undefined on input line 73614. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.isend' on pa ge 760 undefined on input line 73623. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.irecv' on pa ge 760 undefined on input line 73623. 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[769] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [770] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 771 undefined on input line 74899. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [771] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 772 undefined on input line 74989. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[784] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [785] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 786 undefined on input line 76767. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [786] LaTeX Warning: Hyper reference `library/gof/utils:theano.gof.utils.MethodNotDef ined' on page 787 undefined on input line 76878. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[811] Underfull \hbox (badness 8000) in paragraph at lines 79684--79688 []\T1/qtm/m/n/10.95 You can en-sure Mac-Ports shared li-braries are given pri-o r-ity at run-time with \T1/txtt/m/n/10.95 export Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [812] LaTeX Warning: Hyper reference `glossary:term-Op' on page 813 undefined on inpu t line 79718. LaTeX Warning: Hyper reference `glossary:term-Variable' on page 813 undefined o n input line 79719. LaTeX Warning: Hyper reference `glossary:term-Variable' on page 813 undefined o n input line 79720. LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page 813 undefined on input line 79732. LaTeX Warning: Hyper reference `glossary:term-Broadcasting' on page 813 undefin ed on input line 79767. 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Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [828] No file theano.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. (./theano.aux) LaTeX Warning: There were undefined references. LaTeX Warning: Label(s) may have changed. Rerun to get cross-references right. 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){/usr/share/texmf/fonts/enc /dvips/tex-gyre/q-ts1.enc}{/usr/share/texmf/fonts/enc/dvips/tex-gyre/q-ec.enc}{ /usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} Output written on theano.pdf (832 pages, 3744901 bytes). Transcript written on theano.log. Latexmk: Missing input file 'theano.ind' (or dependence on it) from following: 'No file theano.ind.' Latexmk: Getting log file 'theano.log' Latexmk: Examining 'theano.fls' Latexmk: Examining 'theano.log' Latexmk: Index file 'theano.idx' was written Latexmk: References changed. Latexmk: References changed. Latexmk: Log file says output to 'theano.pdf' Latexmk: applying rule 'makeindex theano.idx'... Rule 'makeindex theano.idx': File changes, etc: Changed files, or newly in use since previous run(s): theano.idx Rule 'makeindex theano.idx': The following rules & subrules became out-of-date: makeindex theano.idx ------------ Run number 1 of rule 'makeindex theano.idx' ------------ ------------ Running 'makeindex -s python.ist -o "theano.ind" "theano.idx"' ------------ This is makeindex, version 2.16 [TeX Live 2022] (kpathsea + Thai support). Scanning style file ./python.ist.......done (7 attributes redefined, 0 ignored). 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(fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [12] Chapter 6. [13] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [14] (/usr/share/texlive/texmf-dist/tex/latex/txfonts/ts1txtt.fd) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [15] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[19] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [20] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [21] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [22] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [23] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [24] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [25] Underfull \hbox (badness 7186) in paragraph at lines 1608--1613 []\T1/qtm/m/n/10.95 The conda dis-tri-bu-tion is highly rec-om-mended. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [26] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [27] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [28] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [29] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [30] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [31] Underfull \hbox (badness 7186) in paragraph at lines 2119--2124 []\T1/qtm/m/n/10.95 The conda dis-tri-bu-tion is highly rec-om-mended. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [32] Underfull \hbox (badness 10000) in paragraph at lines 2151--2154 []\T1/qtm/b/n/10.95 Highly rec- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [33] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [34] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [35] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [36] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [37] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [38] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [39] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [40] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [41] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [42] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [43] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [44] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [45] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [46] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [47] Underfull \hbox (badness 10000) in paragraph at lines 3351--3353 []\T1/qtm/b/n/10.95 byte\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 bscalar, bvector , bmatrix, brow, bcol, btensor3, btensor4, btensor5, Underfull \hbox (badness 10000) in paragraph at lines 3355--3357 []\T1/qtm/b/n/10.95 16-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 wsc alar, wvector, wmatrix, wrow, wcol, wtensor3, wtensor4, Underfull \hbox (badness 10000) in paragraph at lines 3359--3361 []\T1/qtm/b/n/10.95 32-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 isc alar, ivector, imatrix, irow, icol, itensor3, itensor4, Underfull \hbox (badness 10000) in paragraph at lines 3363--3365 []\T1/qtm/b/n/10.95 64-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 lsc alar, lvector, lmatrix, lrow, lcol, ltensor3, ltensor4, Underfull \hbox (badness 10000) in paragraph at lines 3367--3369 []\T1/qtm/b/n/10.95 float\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 fscalar, fvecto r, fmatrix, frow, fcol, ftensor3, ftensor4, ftensor5, Underfull \hbox (badness 10000) in paragraph at lines 3371--3373 []\T1/qtm/b/n/10.95 dou-ble\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 dscalar, dvec tor, dmatrix, drow, dcol, dtensor3, dtensor4, dtensor5, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [48] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [49 <./logistic.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [50] Overfull \vbox (1.51445pt too high) detected at line 3599 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [51] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [52] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [53] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [54] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [55] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [56] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [57] Overfull \vbox (1.3041pt too high) detected at line 4070 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [58] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [59] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [60 <./dlogistic.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [61] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [62] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [63] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [64] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [65] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [66] Overfull \vbox (3.26212pt too high) detected at line 4644 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [67] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [68] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [69] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [70] Overfull \vbox (3.2621pt too high) detected at line 4839 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [71] Overfull \vbox (3.2621pt too high) detected at line 4889 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [72] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [73] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [74] Overfull \vbox (0.66841pt too high) detected at line 5074 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [75] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [76] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [77 <./bcast.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [78] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [79] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [80] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [81] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [82] LaTeX Warning: Hyper reference `install_ubuntu:gpu-linux' on page 83 undefined on input line 5544. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [83] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [84] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [85] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [86] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [87] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [88] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [89] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [90] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [91] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [92] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [93] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [94] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [95] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [96 <./numerical_no_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [97] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [98 <./numerical_padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [99 <./no_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [100] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [101 <./arbitrary_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [102 <./same_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [103] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [104 <./full_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [105 <./no_padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [106 <./padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [107 <./padding_strides_odd.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [108] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [109] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [110] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [111] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [112 <./no_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [113 <./arbitrary_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [114] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [115 <./same_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [116] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [117 <./full_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [118 <./no_padding_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [119] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [120 <./padding_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [121 <./padding_strides_odd_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [122 <./dilation.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [123] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [124 <./sep2D.jpg>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [125] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [126] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [127] Underfull \hbox (badness 10000) in paragraph at lines 7936--7940 []\T1/qtm/m/n/10.95 im-ple- Underfull \hbox (badness 10000) in paragraph at lines 8001--8001 []\T1/qhv/m/n/10.95 short Overfull \hbox (27.30164pt too wide) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 FAST_COMPILE| Underfull \hbox (badness 10000) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 compile.mode.Mode(linker=\TS1/txtt/m/n/10.95 '\T1/txtt/m/n /10.95 py\TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 , Overfull \hbox (4.3067pt too wide) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 FAST_RUN| Underfull \hbox (badness 10000) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 compile.mode.Mode(linker=\TS1/txtt/m/n/10.95 '\T1/txtt/m/n /10.95 cvm\TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 , Overfull \hbox (10.05544pt too wide) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 DebugMode| Overfull \hbox (10.91663pt too wide) in paragraph at lines 8186--8186 []\T1/qhv/m/n/10.95 gc[][][][][]| Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qhv/m/n/10.95 Raise er-ror Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qhv/m/n/10.95 Over- Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qtm/m/n/10.95 Nan-Guard- Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qtm/m/n/10.95 VERY Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [128] Underfull \hbox (badness 10000) in paragraph at lines 8319--8319 []\T1/qhv/m/n/10.95 Com-pile Underfull \hbox (badness 10000) in paragraph at lines 8319--8319 []\T1/qhv/m/n/10.95 Ex-e-cu-tion Underfull \hbox (badness 10000) in paragraph at lines 8319--8319 []\T1/qtm/m/n/10.95 o1 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [129] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [130] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [131] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [132] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [133 <./logreg_pydotprint_prediction2.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [134 <./logreg_pydotprint_predict2.png> <./logreg_pydotprint_train2.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [135 <./d3viz.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [136] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [137] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [138] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [139] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [140] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [141] Underfull \hbox (badness 10000) in paragraph at lines 8926--8929 []\T1/qtm/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: Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [142] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [143] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [144] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [145] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [146] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [147] Overfull \hbox (160.82112pt too wide) in paragraph at lines 9333--9333 [] Underfull \hbox (badness 10000) in paragraph at lines 9333--9333 Underfull \hbox (badness 10000) in paragraph at lines 9399--9401 []\T1/qtm/m/n/10.95 THEANO_FLAGS=optimizer_excluding=fusion:inplace,profile=Tru e python Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [148] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [149] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [150 <./apply.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [151] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [152] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [153] Overfull \vbox (2.55638pt too high) detected at line 9854 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [154] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [155] Overfull \hbox (6.0pt too wide) in paragraph at lines 9955--9955 []| Overfull \hbox (6.0pt too wide) in paragraph at lines 9955--9955 []| Overfull \hbox (6.00545pt too wide) in paragraph at lines 9955--9956 [][] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [156 <./symbolic_graph_unopt.png> <./symbolic_graph_opt.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [157] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [158] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [159] Overfull \vbox (2.55638pt too high) detected at line 10256 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [160] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [161] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [162] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [163] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [164] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [165] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [166] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [167 <./apply_node.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [168] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [169] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [170] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [171] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [172] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [173] Overfull \vbox (1.51445pt too high) detected at line 11256 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [174] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [175] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [176] Underfull \hbox (badness 10000) in paragraph at lines 11379--11384 []\T1/qtm/m/n/10.95 The class \T1/txtt/m/n/10.95 RopLop_checker \T1/qtm/m/n/10. 95 de-fines the func-tions \T1/txtt/m/n/10.95 RopLop_checker.check_mat_rop_lop( )\T1/qtm/m/n/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [177] Underfull \hbox (badness 10000) in paragraph at lines 11436--11439 []\T1/txtt/m/n/10.95 theano[]nose test_file.py:test_DoubleRop\T1/qtm/m/n/10.95 : Run ev-ery test found in-side the class Underfull \hbox (badness 10000) in paragraph at lines 11441--11444 []\T1/txtt/m/n/10.95 theano[]nose test_file.py:test_DoubleRop.test_double_op\T1 /qtm/m/n/10.95 : Run only the test Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [178] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [179] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [180] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [181] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [182] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [183] Underfull \hbox (badness 10000) in paragraph at lines 11999--12003 \T1/qtm/m/n/10.95 NPY_ARRAY_F_CONTIGUOUS, NPY_ARRAY_OWNDATA, NPY_ARRAY_ALIGNED, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [184] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [185] Underfull \hbox (badness 10000) in paragraph at lines 12140--12146 []\T1/qtm/m/n/10.95 This sec-tion de-scribes the meth-ods [][]\T1/txtt/m/sl/10. 95 Op.c_code()[][]\T1/qtm/m/n/10.95 , [][]\T1/txtt/m/sl/10.95 Op.c_support_code ()[][]\T1/qtm/m/n/10.95 , [][]\T1/txtt/m/sl/10.95 Op. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [186] Underfull \hbox (badness 10000) in paragraph at lines 12298--12302 []\T1/qtm/m/n/10.95 When de-vel-op-ing an Op, you should run com-pu-ta-tions in De-bug-Mode, by us-ing ar-gu-ment Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [187] Overfull \vbox (2.26854pt too high) detected at line 12437 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [188] Underfull \vbox (badness 10000) detected at line 12437 Overfull \vbox (4.0622pt too high) detected at line 12437 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [189] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [190] Overfull \vbox (4.01622pt too high) detected at line 12596 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [191] Underfull \vbox (badness 10000) detected at line 12596 Overfull \vbox (4.0622pt too high) detected at line 12596 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [192] Underfull \hbox (badness 10000) in paragraph at lines 12620--12624 []\T1/qtm/m/n/10.95 It can au-to-mat-i-cally han-dle all the meth-ods that re-t urn C code, in ad-di-tion to [][]\T1/txtt/m/sl/10.95 Op. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [193] Underfull \vbox (badness 6493) detected at line 12742 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [194] Underfull \vbox (badness 10000) detected at line 12742 Overfull \vbox (4.0622pt too high) detected at line 12742 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [195] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [196] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [197] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [198] Overfull \vbox (2.53865pt too high) detected at line 13070 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [199] Overfull \vbox (1.51445pt too high) detected at line 13128 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [200] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [201] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [202] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [203] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [204] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [205] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [206] Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `\sphinxtitleref' on input line 13731. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [207] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [208] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [209] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [210] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [211] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [212] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [213] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [214] Underfull \hbox (badness 10000) in paragraph at lines 14522--14530 []\T1/qtm/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/qtm/m/n/10.95 , then the lis t \T1/txtt/m/n/10.95 output_gradients \T1/qtm/m/n/10.95 is Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [215] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [216] Underfull \hbox (badness 10000) in paragraph at lines 14639--14645 []\T1/qtm/m/n/10.95 The grad method Underfull \hbox (badness 10000) in paragraph at lines 14649--14655 []\T1/qtm/m/n/10.95 If Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [217] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [218] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [219] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [220] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [221] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [222] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [223] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [224] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [225] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [226] Underfull \hbox (badness 10000) in paragraph at lines 15391--15399 \T1/txtt/m/sl/10.95 sparse.basic.csm_data()[][]\T1/qtm/m/n/10.95 , [][]\T1/txtt /m/sl/10.95 theano.sparse.basic.csm_indices()[][]\T1/qtm/m/n/10.95 , [][]\T1/tx tt/m/sl/10.95 theano.sparse.basic. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [227] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [228] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [229] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [230] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [231] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [232] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [233] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [234] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [235] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [236] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [237] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [238] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [239] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [240] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [241] Overfull \vbox (1.1468pt too high) detected at line 16874 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [242] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [243] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [244] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [245] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [246] Underfull \vbox (badness 10000) detected at line 17160 Overfull \vbox (4.0622pt too high) detected at line 17160 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [247] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [248] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [249] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [250] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [251] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [252] Underfull \vbox (badness 10000) detected at line 17572 Overfull \vbox (4.0622pt too high) detected at line 17572 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [253] Underfull \vbox (badness 10000) detected at line 17572 Overfull \vbox (4.0622pt too high) detected at line 17572 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [254] Overfull \vbox (2.60233pt too high) detected at line 17623 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [255] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [256] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [257] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [258] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [259] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [260] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [261] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [262] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [263] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [264] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [265] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [266] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [267] Underfull \hbox (badness 10000) in paragraph at lines 18618--18620 []\T1/txtt/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compi ling): 7. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [268] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.062pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [269] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.06216pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [270] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.06216pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [271] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.06215pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [272] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [273] Underfull \vbox (badness 4819) detected at line 18974 Overfull \vbox (4.01613pt too high) detected at line 18974 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [274] Underfull \vbox (badness 10000) detected at line 18974 Overfull \vbox (4.06207pt too high) detected at line 18974 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [275] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [276] Underfull \hbox (badness 5637) in paragraph at lines 19038--19041 []\T1/qtm/m/n/10.95 Op-ti-miza-tion with that pat-tern \T1/qtm/m/it/10.95 lo-ca l_op_sink \T1/qtm/m/n/10.95 is the op-po-site of \T1/qtm/m/it/10.95 lift\T1/qtm /m/n/10.95 . For in-stance Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [277] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [278] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [279] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [280] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [281] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [282] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [283] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [284] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [285] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [286] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [287] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [288] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [289] Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Type of Underfull \hbox (badness 5331) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 scan vari- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 in-ner in-put Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 at timestep \T1/qhv/m/it/10.95 t Underfull \hbox (badness 7595) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 in-ner out-put Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 at timestep \T1/qhv/m/it/10.95 t Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 ing outer Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 ing ar-gu- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 ment of the Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/it/10.95 theano.scan() Underfull \hbox (badness 5119) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Se-quence of Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 In-di-vid-ual se- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurring Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Singly- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 (value at Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 at pre-vi-ous Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 mul-ti-ple Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 out-puts Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put val-ues Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 mul-ti-ple fu-ture Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [290] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [291] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [292] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [293] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [294] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [295] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [296] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [297] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [298] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [299] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [300] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [301] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [302] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [303] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [304] (/usr/share/texmf/tex/latex/tex-gyre/ts1qhv.fd) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [305] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [306] Overfull \hbox (23.26746pt too wide) in paragraph at lines 21739--21741 []\T1/txtt/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) []> inc_su btensor(inc_subtensor(a, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [307] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [308] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [309] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [310] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [311] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [312] Underfull \hbox (badness 10000) in paragraph at lines 22430--22434 []\T1/txtt/bx/n/10.95 params \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 list of eit her Variable or In instances, but not Underfull \hbox (badness 10000) in paragraph at lines 22444--22447 []\T1/txtt/bx/n/10.95 updates \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 iterable o ver pairs (shared_variable, Underfull \hbox (badness 10000) in paragraph at lines 22444--22447 \T1/txtt/m/sl/10.95 new_expression). List, tuple or dict.\T1/qtm/m/n/10.95 ) ^^ U ex-pres-sions for new Underfull \hbox (badness 10000) in paragraph at lines 22449--22454 []\T1/txtt/bx/n/10.95 givens \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 iterable ov er pairs (Var1, Var2) of Variables. List, Underfull \hbox (badness 10000) in paragraph at lines 22449--22454 \T1/txtt/m/sl/10.95 tuple or dict. The Var1 and Var2 in each pair must have the Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [313] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [314] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [315] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [316] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [317] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [318] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [319] Underfull \hbox (badness 10000) in paragraph at lines 23096--23098 []\T1/qtm/m/n/10.95 a tu-ple \T1/txtt/m/n/10.95 (name, (r,up), val) \T1/qtm/m/n /10.95 will be \T1/txtt/m/n/10.95 In(r, name=name, value=val, update=up, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [320] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [321] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [322] Underfull \hbox (badness 6758) in paragraph at lines 23234--23239 []\T1/qtm/m/n/10.95 This file con-tains aux-il-iary Ops, used dur-ing the com-p i-la-tion phase and Ops build-ing class Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [323] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [324] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [325] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [326] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [327] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [328] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [329] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [330] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [331] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [332] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [333] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [334] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [335] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [336] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [337] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [338] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [339] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [340] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [341] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [342] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [343] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [344] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [345] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [346] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [347] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [348] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [349] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [350] Overfull \hbox (44.8225pt too wide) in paragraph at lines 26469--26472 \T1/qtm/m/n/10.95 De-fault: \T1/txtt/m/n/10.95 "compiledir_%(platform)s[]%(proc essor)s[]%(python_version)s[]%(python_bitwidth)s" Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [351] Underfull \hbox (badness 10000) in paragraph at lines 26650--26656 \T1/qtm/m/n/10.95 String value: \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 small\T S1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 none\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/ 10.95 large\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/tx tt/m/n/10.95 fft\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\ T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/ m/n/10.95 '\T1/txtt/m/n/10.95 winograd\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26650--26656 \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 winograd_non_fused\TS1/txtt/m/n/10.95 ' \T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt /m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_o n_shape_change\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1 /txtt/m/n/10.95 time_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26660--26663 []\T1/qtm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/txtt/m/n/10.95 '\T1/tx tt/m/n/10.95 none\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 small\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/ 10.95 '\T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \T S1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/ n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26685--26690 \T1/qtm/m/n/10.95 String value: \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 none\TS 1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 d eterministic\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/t xtt/m/n/10.95 fft\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 small\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/ 10.95 '\T1/txtt/m/n/10.95 winograd_non_fused\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10 .95 , Underfull \hbox (badness 10000) in paragraph at lines 26685--26690 \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/ m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt/m/n/10. 95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_on_shape_ change\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/ n/10.95 time_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26706--26712 \T1/qtm/m/n/10.95 String value: \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 none\TS 1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 d eterministic\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/t xtt/m/n/10.95 fft\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt /m/n/10.95 '\T1/txtt/m/n/10.95 winograd\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26706--26712 \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 winograd_non_fused\TS1/txtt/m/n/10.95 ' \T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt /m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_o n_shape_change\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1 /txtt/m/n/10.95 time_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 6412) in paragraph at lines 26716--26720 []\T1/qtm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/txtt/m/n/10.95 '\T1/tx tt/m/n/10.95 none\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 deterministic\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/t xtt/m/n/10.95 '\T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 ' '\T1/txtt/m/n /10.95 guess_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [352] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [353] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [354] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [355] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [356] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [357] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [358] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [359] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [360] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [361 <./index_10_0.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [362] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [363 <./index_24_0.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [364] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [365] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [366] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [367] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [368] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [369] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [370] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [371] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [372] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [373] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [374] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [375] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [376] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [377] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [378] Underfull \hbox (badness 10000) in paragraph at lines 29539--29542 []\T1/qtm/m/n/10.95 For each fea-ture that has a `on_change_input' method, call s: fea- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [379] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [380] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [381] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [382] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [383] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [384] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [385] Underfull \hbox (badness 10000) in paragraph at lines 30370--30373 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [386] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [387] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [388] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [389] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [390] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [391] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [392] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [393] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [394] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [395] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [396] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [397] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [398] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [399] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [400] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [401] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [402] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [403] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [404] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [405] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [406] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [407] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [408] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [409] Underfull \hbox (badness 10000) in paragraph at lines 32964--32967 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [410] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [411] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [412] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [413] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [414] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [415] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [416] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [417] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [418] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [419] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [420] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [421] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [422] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [423] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [424] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [425] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [426] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [427] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [428] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [429] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [430] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [431] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [432] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [433] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [434] Underfull \hbox (badness 10000) in paragraph at lines 35979--35982 []\T1/qtm/m/n/10.95 It can also have the key \T1/qtm/m/it/10.95 cflags \T1/qtm/ m/n/10.95 which is a string of C flag val-ues like this Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [435] Underfull \hbox (badness 10000) in paragraph at lines 36139--36146 \T1/qtm/m/n/10.95 This gen-er-ates the C code for Gpu-Corr3dMM (di-rec-tion=^^Q forward^^Q), Gpu- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [436] Underfull \hbox (badness 7203) in paragraph at lines 36164--36170 []\T1/txtt/bx/n/10.95 direction \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 forward\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backprop weights\TS1/txtt/m/sl /10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backpro p inputs\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [437] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [438] Underfull \hbox (badness 7203) in paragraph at lines 36383--36389 []\T1/txtt/bx/n/10.95 direction \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 forward\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backprop weights\TS1/txtt/m/sl /10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backpro p inputs\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [439] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [440] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [441] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [442] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [443] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [444] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [445] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [446] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [447] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [448] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [449] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [450] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [451] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [452] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [453] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [454] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [455] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [456] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [457] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [458] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [459] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [460] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [461] Overfull \hbox (10.75157pt too wide) in paragraph at lines 39131--39131 \T1/qtm/m/it/10.95 set_instead_of_inc=False\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [462] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [463] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [464] Overfull \hbox (10.75157pt too wide) in paragraph at lines 39494--39494 \T1/qtm/m/it/10.95 set_instead_of_inc=False\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [465] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [466] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [467] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [468] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [469] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [470] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [471] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [472] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [473] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [474] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [475] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [476] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [477] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [478] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [479] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [480] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [481] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [482] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [483] Underfull \hbox (badness 10000) in paragraph at lines 41834--41836 [][][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn.dnn_gradweight()[][]\T1/qtm/m/n/1 0.95 , [][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn. Underfull \hbox (badness 10000) in paragraph at lines 41838--41840 [][][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn.dnn_gradinput()[][]\T1/qtm/m/n/10 .95 , [][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [484] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [485] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [486] Underfull \hbox (badness 10000) in paragraph at lines 42179--42182 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [487] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [488] Underfull \hbox (badness 10000) in paragraph at lines 42429--42432 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [489] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [490] Underfull \hbox (badness 10000) in paragraph at lines 42649--42652 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 small\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 large\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft_ tiling\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 42649--42652 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 winograd\TS1/txtt/m/sl/10.95 '\T1/txt t/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_once\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [491] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [492] Underfull \hbox (badness 10000) in paragraph at lines 42869--42872 []\T1/qtm/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 42940--42943 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 deterministic\TS1/txtt/m/sl/10.95 '\T1 /txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m/sl/ 10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft_tili ng\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 winograd\TS1/txtt/m/sl/10.95 '\T1/txt t/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_once\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 \T1/qtm/m/n/10.95 `time_on_shape_change'} De-fault is the value of \T1/txtt/m/n /10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 42991--42994 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 deterministic\TS1/txtt/m/sl/10.95 '\T1 /txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m/sl/ 10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 small\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 guess_once\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^ U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [493] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [494] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [495] Underfull \hbox (badness 10000) in paragraph at lines 43354--43357 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [496] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [497] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [498] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [499] Underfull \hbox (badness 7064) in paragraph at lines 43961--43966 \T1/qtm/m/it/10.95 puts\T1/qtm/m/n/10.95 , but have sizes of \T1/qtm/m/it/10.95 1 \T1/qtm/m/n/10.95 for all axes nor-mal-ized over (i.e., in the Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [500] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [501] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [502] Underfull \hbox (badness 10000) in paragraph at lines 44186--44190 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 small\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 large\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 gues s_once\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 44186--44190 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_on_shape_change\TS1/txtt/m/sl/1 0.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 time_once \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl /10.95 time_on_shape_change\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m /n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 44192--44197 []\T1/txtt/bx/n/10.95 precision \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input_f32\TS1/txtt/m/sl/10.95 '\T1/txtt/m /sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input\TS1/txtt/m/sl/10 .95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 float16\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 float32\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [503] Underfull \hbox (badness 10000) in paragraph at lines 44273--44275 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 convolution i mplementation to use. Only \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/t xtt/m/sl/10.95 ' \T1/txtt/m/sl/10.95 is Underfull \hbox (badness 10000) in paragraph at lines 44277--44282 []\T1/txtt/bx/n/10.95 precision \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input_f32\TS1/txtt/m/sl/10.95 '\T1/txtt/m /sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input\TS1/txtt/m/sl/10 .95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 float16\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 float32\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [504] Underfull \hbox (badness 10000) in paragraph at lines 44380--44382 []\T1/txtt/bx/n/10.95 mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 max\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \T S1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 average_inc_pad\TS1/txtt/m/sl/10.95 '\T 1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 average_exc_pad\T S1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 sum\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [505] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [506] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [507] Underfull \hbox (badness 10000) in paragraph at lines 44710--44712 []\T1/txtt/bx/n/10.95 function \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Only with borrow=False and Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [508 <./plot_fft.png>] Underfull \hbox (badness 10000) in paragraph at lines 44752--44754 []\T1/txtt/bx/n/10.95 using \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Changes to t his value will be visible to all Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [509] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [510] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [511] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [512] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [513] Underfull \hbox (badness 10000) in paragraph at lines 45348--45351 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [514] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [515] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [516] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [517] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [518] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [519] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [520] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [521] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [522] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [523] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [524] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [525] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [526] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [527] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [528] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [529] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [530] Underfull \hbox (badness 10000) in paragraph at lines 47352--47355 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [531] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [532] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [533] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [534] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [535] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [536] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [537] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [538] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [539] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [540] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [541] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [542] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [543] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [544] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [545] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [546] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [547] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [548] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [549] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [550] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [551] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [552] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [553] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [554] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [555] Underfull \hbox (badness 10000) in paragraph at lines 50270--50272 []\T1/txtt/bx/n/10.95 Example \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 p = [[.98, .01, .01], [.01, .49, .50]] and size=1 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [556] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [557] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [558] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [559] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [560] Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 50860. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `superscript' on input line 50860. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [561] Overfull \vbox (1.51443pt too high) detected at line 50976 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [562] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [563] Overfull \vbox (1.51445pt too high) detected at line 51089 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [564] Overfull \vbox (1.51443pt too high) detected at line 51140 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [565] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [566] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [567] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [568] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [569] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [570] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [571] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [572] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [573] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [574] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [575] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [576] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [577] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [578] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [579] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [580] Overfull \vbox (3.06851pt too high) detected at line 52444 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [581] Underfull \hbox (badness 6412) in paragraph at lines 52463--52466 []\T1/qtm/m/n/10.95 Theano Spar-se-Vari-able ob-jects have a method \T1/txtt/m/ n/10.95 toarray() \T1/qtm/m/n/10.95 that is the same as Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [582] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [583] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [584] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [585] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [586] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [587] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [588] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [589] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [590] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [591] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [592] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [593] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [594] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [595] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [596] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [597] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [598] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [599] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [600] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [601] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [602] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [603] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [604] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [605] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [606] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [607] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [608] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [609] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [610] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [611] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [612] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [613] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [614] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [615] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [616] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [617] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [618] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [619] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [620] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [621] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [622] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [623] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [624] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [625] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [626] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [627] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [628] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [629] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [630] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [631] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [632] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [633] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [634] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [635] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [636] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [637] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [638] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [639] Overfull \hbox (2.4627pt too wide) in paragraph at lines 60785--60785 []\T1/txtt/bx/n/10.95 copy() Return a new symbolic variable that is a copy of t he variable. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [640] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [641] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [642] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [643] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [644] Underfull \hbox (badness 5802) in paragraph at lines 61543--61547 []\T1/qtm/m/n/10.95 To re-order the di-men-sions of a vari-able, to in-sert or re-move broad-castable di-men-sions, see Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [645] Underfull \hbox (badness 10000) in paragraph at lines 61703--61707 []\T1/txtt/bx/n/10.95 axis \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 an int or an iterable object such as list or tuple of Underfull \hbox (badness 10000) in paragraph at lines 61747--61751 []\T1/txtt/bx/n/10.95 axis \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 an int or an iterable object such as list or tuple of Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [646] Underfull \hbox (badness 10000) in paragraph at lines 61792--61796 []\T1/txtt/bx/n/10.95 broadcastable \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 an i terable object such as list or tuple of Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [647] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [648] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [649] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [650] Overfull \vbox (1.61612pt too high) detected at line 62331 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [651] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [652] Underfull \hbox (badness 10000) in paragraph at lines 62541--62544 [] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [653] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [654] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [655] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [656] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [657] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [658] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [659] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [660] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [661] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [662] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [663] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [664] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [665] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [666] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [667] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [668] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [669] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [670] Underfull \hbox (badness 10000) in paragraph at lines 64616--64620 []\T1/qtm/m/n/10.95 Ei-ther cuDNN and the gemm ver-sion can be dis-abled us-ing the Theano flags Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [671] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [672] Underfull \hbox (badness 10000) in paragraph at lines 64775--64780 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 or 6 of int or Underfull \hbox (badness 10000) in paragraph at lines 64791--64794 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 64795--64800 []\T1/qtm/m/n/10.95 rows Underfull \hbox (badness 10000) in paragraph at lines 64801--64804 []\T1/qtm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 64805--64808 []\T1/txtt/m/n/10.95 int2\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 64809--64813 []\T1/qtm/m/n/10.95 pad in-put Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [673] Underfull \hbox (badness 10000) in paragraph at lines 64830--64832 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [674] Underfull \hbox (badness 10000) in paragraph at lines 64915--64920 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 64922--64928 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 str, i nt or tuple of two int\T1/qtm/m/n/10.95 ) ^^U Refers to the Underfull \hbox (badness 10000) in paragraph at lines 64922--64928 \T1/txtt/m/n/10.95 border_mode \T1/qtm/m/n/10.95 ar-gu-ment of the cor-re-spond -ing for-ward (non-transposed) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [675] Underfull \hbox (badness 10000) in paragraph at lines 65012--65017 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 65019--65024 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 65035--65038 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 65045--65048 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [676] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [677] Underfull \hbox (badness 10000) in paragraph at lines 65207--65212 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int, None or Underfull \hbox (badness 10000) in paragraph at lines 65214--65218 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int, None or Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [678] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [679] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [680] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [681] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [682] Underfull \hbox (badness 10000) in paragraph at lines 65728--65732 []\T1/qtm/m/n/10.95 bor-der of Underfull \hbox (badness 10000) in paragraph at lines 65733--65736 []\T1/txtt/m/n/10.95 int1\T1/qtm/m/n/10.95 , \T1/txtt/m/n/10.95 int2 \T1/qtm/m/ n/10.95 and Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [683] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [684] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [685] Underfull \hbox (badness 10000) in paragraph at lines 66086--66088 []\T1/txtt/bx/n/10.95 kshp \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 List/tuple of length \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 convdim\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.95 , indicating the size of Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [686] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [687] Underfull \hbox (badness 10000) in paragraph at lines 66211--66215 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric) corresponding Underfull \hbox (badness 10000) in paragraph at lines 66236--66239 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 66241--66244 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [688] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [689] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [690] Underfull \hbox (badness 10000) in paragraph at lines 66485--66491 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 [None /int/Constant] * (2 or 4) + [Tensor/int/ Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [691] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [692] Underfull \hbox (badness 10000) in paragraph at lines 66636--66641 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 66643--66648 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 66659--66662 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 66669--66672 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [693] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [694] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [695] Underfull \hbox (badness 10000) in paragraph at lines 66900--66906 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 [None /int/Constant] * 2 + [Tensor/int/Constant] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [696] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [697] Underfull \hbox (badness 10000) in paragraph at lines 67098--67101 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67103--67106 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67108--67110 []\T1/txtt/bx/n/10.95 num_groups \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 An int which specifies the number of separate Underfull \hbox (badness 10000) in paragraph at lines 67112--67114 []\TS1/txtt/bx/n/10.95 '\T1/txtt/bx/n/10.95 unshared\TS1/txtt/bx/n/10.95 ' \T1/ qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Note [] The shape of the convolution output does Underfull \hbox (badness 10000) in paragraph at lines 67146--67148 []\T1/txtt/bx/n/10.95 kernel_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int o r None. Corresponds to the kernel shape on Underfull \hbox (badness 10000) in paragraph at lines 67150--67152 []\T1/txtt/bx/n/10.95 top_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int or N one. Corresponds to the top shape on a Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [698] Underfull \hbox (badness 10000) in paragraph at lines 67154--67159 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Underfull \hbox (badness 10000) in paragraph at lines 67199--67203 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int corresponding to the input image Underfull \hbox (badness 10000) in paragraph at lines 67218--67221 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67223--67226 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67228--67230 []\T1/txtt/bx/n/10.95 num_groups \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 An int which specifies the number of separate Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [699] Underfull \hbox (badness 10000) in paragraph at lines 67272--67274 []\T1/txtt/bx/n/10.95 top_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int or N one. Corresponds to the top shape on a Underfull \hbox (badness 10000) in paragraph at lines 67276--67281 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Underfull \hbox (badness 10000) in paragraph at lines 67316--67320 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric) corresponding Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [700] Underfull \hbox (badness 10000) in paragraph at lines 67340--67343 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67345--67347 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67349--67351 []\TS1/txtt/bx/n/10.95 '\T1/txtt/bx/n/10.95 unshared\TS1/txtt/bx/n/10.95 ' \T1/ qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Note [] The shape of the convolution output does Underfull \hbox (badness 10000) in paragraph at lines 67383--67385 []\T1/txtt/bx/n/10.95 kernel_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int o r None. Corresponds to the kernel shape on Underfull \hbox (badness 10000) in paragraph at lines 67387--67392 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [701] Underfull \hbox (badness 10000) in paragraph at lines 67450--67455 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 67457--67462 []\T1/txtt/bx/n/10.95 depthwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 4 of int or Underfull \hbox (badness 10000) in paragraph at lines 67464--67469 []\T1/txtt/bx/n/10.95 pointwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 4 of int or Underfull \hbox (badness 10000) in paragraph at lines 67481--67484 []\T1/qtm/m/n/10.95 Gen-er-ates Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [702] Underfull \hbox (badness 10000) in paragraph at lines 67485--67490 []\T1/qtm/m/n/10.95 rows Underfull \hbox (badness 10000) in paragraph at lines 67491--67494 []\T1/qtm/m/n/10.95 width, then Underfull \hbox (badness 5203) in paragraph at lines 67495--67498 []\T1/qtm/m/n/10.95 and \T1/txtt/m/n/10.95 int2 Underfull \hbox (badness 10000) in paragraph at lines 67499--67503 []\T1/qtm/m/n/10.95 pad in-put with one Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [703] Underfull \hbox (badness 10000) in paragraph at lines 67579--67584 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 67586--67591 []\T1/txtt/bx/n/10.95 depthwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 67593--67598 []\T1/txtt/bx/n/10.95 pointwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 67610--67613 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 67620--67623 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [704] Underfull \hbox (badness 10000) in paragraph at lines 67785--67787 []\T1/qtm/m/n/10.95 Pre-ci-sion: sig-moid(with or with-out amdlibm) > ul-tra_fa st_sigmoid > Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [705] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [706 <./sigmoid_prec.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [707] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [708] Underfull \hbox (badness 10000) in paragraph at lines 68159--68162 []\T1/qtm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [709] Underfull \hbox (badness 10000) in paragraph at lines 68207--68210 []\T1/qtm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [710] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [711] Underfull \hbox (badness 10000) in paragraph at lines 68362--68365 []\T1/txtt/bx/n/10.95 W1 \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of shape (number of features of the input x, Underfull \hbox (badness 10000) in paragraph at lines 68371--68375 []\T1/txtt/bx/n/10.95 W2 \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of shape (n_classes, number of features of the Underfull \hbox (badness 10000) in paragraph at lines 68381--68387 []\T1/txtt/bx/n/10.95 target \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of s hape either (batch_size,) or (batch_size, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [712] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [713] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [714] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [715] Underfull \hbox (badness 5431) in paragraph at lines 68720--68726 []\T1/txtt/bx/n/10.95 axes \T1/qtm/m/n/10.95 (\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 per[]activation\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 spatial\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.9 5 or a tuple of ints\T1/qtm/m/n/10.95 ) ^^U The axes Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [716] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [717] Underfull \hbox (badness 5431) in paragraph at lines 68837--68843 []\T1/txtt/bx/n/10.95 axes \T1/qtm/m/n/10.95 (\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 per[]activation\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 spatial\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.9 5 or a tuple of ints\T1/qtm/m/n/10.95 ) ^^U The axes Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [718] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [719] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [720 <./blocksparse.png>] Underfull \hbox (badness 10000) in paragraph at lines 69074--69077 []\T1/qtm/m/n/10.95 Which blocks Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [721] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [722] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [723] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [724] Underfull \hbox (badness 10000) in paragraph at lines 69482--69485 []\T1/qtm/m/n/10.95 Raw ran-dom pro-vides the random-number draw-ing func-tion- al-ity, that un-der-lies the friendlier Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [725] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [726] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [727] Overfull \hbox (3.51373pt too wide) in paragraph at lines 69923--69923 []\T1/qtm/m/it/10.95 raw_random.RandomStreamsBase\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [728] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [729] Underfull \hbox (badness 10000) in paragraph at lines 70097--70099 []\T1/txtt/bx/n/10.95 filters \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Symbolic t heano tensor for convolution filter(s).\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [730] Underfull \hbox (badness 10000) in paragraph at lines 70188--70191 []\T1/txtt/bx/n/10.95 ignore_border \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 bool (default None, will print a warning and Underfull \hbox (badness 5460) in paragraph at lines 70193--70198 []\T1/txtt/bx/n/10.95 stride \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of tw o ints or theano vector of ints of size 2.\T1/qtm/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 70200--70204 []\T1/txtt/bx/n/10.95 pad \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of two i nts or theano vector of ints of size 2.\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [731] Underfull \hbox (badness 10000) in paragraph at lines 70284--70287 []\T1/txtt/bx/n/10.95 ignore_border \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 bool (default None, will print a warning and Underfull \hbox (badness 10000) in paragraph at lines 70289--70293 []\T1/txtt/bx/n/10.95 st \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of three ints or theano vector of ints of size 3\T1/qtm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 70295--70300 []\T1/txtt/bx/n/10.95 pad \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of two i nts or theano vector of ints of size 3\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [732] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [733] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [734] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [735] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [736] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [737] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [738] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [739] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [740] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [741] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [742] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [743] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [744] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [745] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [746] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [747] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [748] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [749] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [750] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [751] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [752] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [753] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [754] Underfull \hbox (badness 10000) in paragraph at lines 73009--73011 []\T1/txtt/bx/n/10.95 weights \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 array of t he same shape as x with corresponding Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [755] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [756] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [757] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [758] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [759] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [760] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [761] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [762] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [763] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [764] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [765] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [766] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [767] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [768] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [769] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [770] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [771] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [772] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [773] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [774] Underfull \hbox (badness 10000) in paragraph at lines 75359--75363 \T1/qtm/m/n/10.95 Ap-ply as many times as re-quired the op-ti-miza-tion lo-cal_ useless_rebroadcast and lo- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [775] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [776] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [777] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [778] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [779] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [780] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [781] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [782] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [783] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [784] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [785] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [786] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [787] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [788] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [789] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [790] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [791] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [792] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [793] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [794] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [795 <./plot_fft1.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [796] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [797] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [798] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [799] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [800] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [801] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [802] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [803] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [804] Underfull \hbox (badness 10000) in paragraph at lines 79031--79036 []\T1/qtm/m/n/10.95 Theano Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [805] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [806] Underfull \hbox (badness 10000) in paragraph at lines 79254--79257 []\T1/qtm/m/n/10.95 Cur-rently only vari-able cre-ated by Ad-vanced-Sub-ten-sor 1 is sup-ported. i.e. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [807] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [808] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [809] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [810] Underfull \hbox (badness 10000) in paragraph at lines 79620--79622 []\T1/qtm/m/n/10.95 Im-portEr-ror: (`/home/Nick/.theano/compiledir_Linux-2.6.35 -31-generic-x86_64-with- Underfull \hbox (badness 10000) in paragraph at lines 79620--79622 \T1/qtm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109 a06ca04b360.so: un-de- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [811] Underfull \hbox (badness 8000) in paragraph at lines 79684--79688 []\T1/qtm/m/n/10.95 You can en-sure Mac-Ports shared li-braries are given pri-o r-ity at run-time with \T1/txtt/m/n/10.95 export Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [812] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [813] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [814] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [815] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [816] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [817] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [818] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [819] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [820] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [821] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [822] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [823] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [824] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [825] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [826] Underfull \hbox (badness 7869) in paragraph at lines 80861--80862 []\T1/txtt/m/n/10.95 theano.compile.debugmode \T1/qtm/m/n/10.95 (\T1/qtm/m/it/1 0.95 Unix, Win-dows\T1/qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 80865--80866 []\T1/txtt/m/n/10.95 theano.compile.nanguardmode \T1/qtm/m/n/10.95 (\T1/qtm/m/i t/10.95 Unix, Win- [827] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [828] (./theano.ind Overfull \hbox (18.25989pt too wide) in paragraph at lines 11--13 []\T1/txtt/m/n/10.95 __call__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.co mpile.function_module.Function Overfull \hbox (12.13878pt too wide) in paragraph at lines 13--15 []\T1/txtt/m/n/10.95 __call__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.d3 viz.formatting.PyDotFormatter Overfull \hbox (10.26651pt too wide) in paragraph at lines 22--24 []\T1/txtt/m/n/10.95 __init__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.co mpile.debugmode.DebugMode Overfull \hbox (26.88846pt too wide) in paragraph at lines 27--29 []\T1/txtt/m/n/10.95 __init__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.co mpile.sharedvalue.SharedVariable Underfull \hbox (badness 10000) in paragraph at lines 30--31 []\T1/txtt/m/n/10.95 __init__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.te nsor.TensorType method\T1/qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 40--42 []\T1/txtt/m/n/10.95 abs_rel_err() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gradient.numeric_grad Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/txtt/m/n/10.95 abs_rel_errors() Underfull \hbox (badness 10000) in paragraph at lines 42--44 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gradient.numeric_grad method\T1/qt m/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 44--46 []\T1/txtt/m/n/10.95 AbstractConv \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 46--48 []\T1/txtt/m/n/10.95 AbstractConv2d \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 48--50 []\T1/txtt/m/n/10.95 AbstractConv2d_gradInputs \T1/qtm/m/n/10.95 (\T1/qtm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 50--52 []\T1/txtt/m/n/10.95 AbstractConv2d_gradWeights \T1/qtm/m/n/10.95 (\T1/qtm/m/it /10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 52--54 []\T1/txtt/m/n/10.95 AbstractConv3d \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/txtt/m/n/10.95 AbstractConv3d_gradInputs \T1/qtm/m/n/10.95 (\T1/qtm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 56--58 []\T1/txtt/m/n/10.95 AbstractConv3d_gradWeights \T1/qtm/m/n/10.95 (\T1/qtm/m/it /10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 58--60 []\T1/txtt/m/n/10.95 AbstractConv_gradInputs \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 60--62 []\T1/txtt/m/n/10.95 AbstractConv_gradWeights \T1/qtm/m/n/10.95 (\T1/qtm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in paragraph at lines 66--68 []\T1/txtt/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 66--68 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.sandbox.linalg.ops.HintsOptimizer Underfull \hbox (badness 10000) in paragraph at lines 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[840] Underfull \hbox (badness 10000) in paragraph at lines 892--893 []\T1/txtt/m/n/10.95 DebugModeError \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 896--898 []\T1/txtt/m/n/10.95 default_infer_shape() Underfull \hbox (badness 10000) in paragraph at lines 896--898 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tensor.opt.ShapeFeature method\T1/ qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 899--900 []\T1/txtt/m/n/10.95 default_output() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 the ano.gof.graph.Apply Underfull \hbox (badness 10000) in paragraph at lines 900--901 []\T1/txtt/m/n/10.95 dense_from_sparse \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/txtt/m/n/10.95 diagonal() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.te nsor._tensor_py_operators Overfull \hbox (2.20718pt too wide) in paragraph at lines 917--919 []\T1/txtt/m/n/10.95 dimshuffle() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano. tensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 919--920 []\T1/txtt/m/n/10.95 disconnected_grad() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 930--931 []\T1/txtt/m/n/10.95 dnn_gradinput() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 931--932 []\T1/txtt/m/n/10.95 dnn_gradinput3d() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 932--933 []\T1/txtt/m/n/10.95 dnn_gradweight() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 933--934 []\T1/txtt/m/n/10.95 dnn_gradweight3d() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 935--936 []\T1/txtt/m/n/10.95 dnn_spatialtf() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 940--942 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.basic_ops.GpuAlloc Underfull \hbox (badness 10000) in paragraph at lines 942--944 []\T1/txtt/m/n/10.95 do_constant_folding() Overfull \hbox (5.47012pt too wide) in paragraph at lines 942--944 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 944--946 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 944--946 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 946--948 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 946--948 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 948--950 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 948--950 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[]\T1/txtt/m/n/10.95 get_num_denum() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 thea no.tensor.opt.Canonizer Overfull \hbox (17.19775pt too wide) in paragraph at lines 1121--1123 []\T1/txtt/m/n/10.95 get_out_shape() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 thea no.gpuarray.dnn.GpuDnnConv Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 []\T1/txtt/m/n/10.95 get_output_info() Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 1125--1127 []\T1/txtt/m/n/10.95 get_param_size() Overfull \hbox (6.26965pt too wide) in paragraph at lines 1128--1130 []\T1/txtt/m/n/10.95 get_params() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano. gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1132--1133 []\T1/txtt/m/n/10.95 get_parents() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gof.graph.Variable Overfull \hbox (2.30574pt too wide) 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ompile.sharedvalue.SharedVariable Overfull \hbox (47.62773pt too wide) in paragraph at lines 1145--1147 []\T1/txtt/m/n/10.95 get_value() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.g puarray.type.GpuArraySharedVariable Underfull \hbox (badness 10000) in paragraph at lines 1151--1152 []\T1/txtt/m/n/10.95 GetItem2ListsGrad \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 cl ass in Overfull \hbox (49.4454pt too wide) in paragraph at lines 1159--1161 []\T1/txtt/m/n/10.95 gpu_kernels() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gpuarray.basic_ops.CGpuKernelBase Overfull \hbox (7.29897pt too wide) in paragraph at lines 1161--1163 []\T1/txtt/m/n/10.95 gpu_kernels() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gpuarray.basic_ops.GpuEye Overfull \hbox (42.14177pt too wide) in paragraph at lines 1163--1165 []\T1/txtt/m/n/10.95 gpu_kernels() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gpuarray.basic_ops.GpuKernelBase Overfull \hbox (3.56496pt too wide) in paragraph at lines 1165--1167 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[844] Underfull \hbox (badness 10000) in paragraph at lines 1182--1184 []\T1/txtt/m/n/10.95 gpu_matrix_inverse() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1185--1186 []\T1/txtt/m/n/10.95 gpu_supported() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 []\T1/txtt/m/n/10.95 GpuAdvancedBooleanIncSubtensor \T1/qtm/m/n/10.95 (\T1/qtm/ m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\T1/txtt/m/n/10.95 GpuAdvancedBooleanSubtensor \T1/qtm/m/n/10.95 (\T1/qtm/m/i t/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1191--1193 []\T1/txtt/m/n/10.95 GpuAdvancedIncSubtensor \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1193--1195 []\T1/txtt/m/n/10.95 GpuAdvancedIncSubtensor1 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in 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(rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. ) (see the transcript file for additional information){/usr/share/texmf/fonts/enc /dvips/tex-gyre/q-ts1.enc}{/usr/share/texmf/fonts/enc/dvips/tex-gyre/q-ec.enc}{ /usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} Output written on theano.pdf (870 pages, 3990875 bytes). Transcript written on theano.log. Latexmk: Getting log file 'theano.log' Latexmk: Examining 'theano.fls' Latexmk: Examining 'theano.log' Latexmk: Index file 'theano.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'theano.pdf' Latexmk: applying rule 'pdflatex'... 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[1] [2] (/usr/share/texmf/tex/latex/tex-gyre/ts1qtm.fd) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[22] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [23] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [24] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [25] Underfull \hbox (badness 7186) in paragraph at lines 1608--1613 []\T1/qtm/m/n/10.95 The conda dis-tri-bu-tion is highly rec-om-mended. 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[28] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [29] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [30] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [31] Underfull \hbox (badness 7186) in paragraph at lines 2119--2124 []\T1/qtm/m/n/10.95 The conda dis-tri-bu-tion is highly rec-om-mended. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [32] Underfull \hbox (badness 10000) in paragraph at lines 2151--2154 []\T1/qtm/b/n/10.95 Highly rec- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [33] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [34] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [35] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [36] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [37] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [38] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [39] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [40] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [41] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [42] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [43] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [44] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [45] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [46] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [47] Underfull \hbox (badness 10000) in paragraph at lines 3351--3353 []\T1/qtm/b/n/10.95 byte\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 bscalar, bvector , bmatrix, brow, bcol, btensor3, btensor4, btensor5, Underfull \hbox (badness 10000) in paragraph at lines 3355--3357 []\T1/qtm/b/n/10.95 16-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 wsc alar, wvector, wmatrix, wrow, wcol, wtensor3, wtensor4, Underfull \hbox (badness 10000) in paragraph at lines 3359--3361 []\T1/qtm/b/n/10.95 32-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 isc alar, ivector, imatrix, irow, icol, itensor3, itensor4, Underfull \hbox (badness 10000) in paragraph at lines 3363--3365 []\T1/qtm/b/n/10.95 64-bit in-te-gers\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 lsc alar, lvector, lmatrix, lrow, lcol, ltensor3, ltensor4, Underfull \hbox (badness 10000) in paragraph at lines 3367--3369 []\T1/qtm/b/n/10.95 float\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 fscalar, fvecto r, fmatrix, frow, fcol, ftensor3, ftensor4, ftensor5, Underfull \hbox (badness 10000) in paragraph at lines 3371--3373 []\T1/qtm/b/n/10.95 dou-ble\T1/qtm/m/n/10.95 : \T1/txtt/m/n/10.95 dscalar, dvec tor, dmatrix, drow, dcol, dtensor3, dtensor4, dtensor5, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [48] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [49 <./logistic.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [50] Overfull \vbox (1.51445pt too high) detected at line 3599 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [51] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [52] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [53] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [54] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [55] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [56] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [57] Overfull \vbox (1.3041pt too high) detected at line 4070 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [58] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [59] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [60 <./dlogistic.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [61] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [62] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [63] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [64] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [65] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [66] Overfull \vbox (3.26212pt too high) detected at line 4644 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [67] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [68] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [69] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [70] Overfull \vbox (3.2621pt too high) detected at line 4839 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [71] Overfull \vbox (3.2621pt too high) detected at line 4889 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [72] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [73] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [74] Overfull \vbox (0.66841pt too high) detected at line 5074 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [75] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [76] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [77 <./bcast.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [78] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [79] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [80] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [81] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [82] LaTeX Warning: Hyper reference `install_ubuntu:gpu-linux' on page 83 undefined on input line 5544. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [83] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [84] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [85] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [86] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [87] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [88] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [89] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [90] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [91] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [92] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [93] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [94] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [95] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [96 <./numerical_no_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [97] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [98 <./numerical_padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [99 <./no_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [100] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [101 <./arbitrary_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [102 <./same_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [103] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [104 <./full_padding_no_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [105 <./no_padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [106 <./padding_strides.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [107 <./padding_strides_odd.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [108] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [109] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [110] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [111] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [112 <./no_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [113 <./arbitrary_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [114] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [115 <./same_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [116] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [117 <./full_padding_no_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [118 <./no_padding_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [119] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [120 <./padding_strides_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [121 <./padding_strides_odd_transposed.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [122 <./dilation.pdf>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [123] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [124 <./sep2D.jpg>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [125] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [126] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [127] Underfull \hbox (badness 10000) in paragraph at lines 7936--7940 []\T1/qtm/m/n/10.95 im-ple- Underfull \hbox (badness 10000) in paragraph at lines 8001--8001 []\T1/qhv/m/n/10.95 short Overfull \hbox (27.30164pt too wide) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 FAST_COMPILE| Underfull \hbox (badness 10000) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 compile.mode.Mode(linker=\TS1/txtt/m/n/10.95 '\T1/txtt/m/n /10.95 py\TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 , Overfull \hbox (4.3067pt too wide) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 FAST_RUN| Underfull \hbox (badness 10000) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 compile.mode.Mode(linker=\TS1/txtt/m/n/10.95 '\T1/txtt/m/n /10.95 cvm\TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 , Overfull \hbox (10.05544pt too wide) in paragraph at lines 8001--8001 []\T1/txtt/m/n/10.95 DebugMode| Overfull \hbox (10.91663pt too wide) in paragraph at lines 8186--8186 []\T1/qhv/m/n/10.95 gc[][][][][]| Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qhv/m/n/10.95 Raise er-ror Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qhv/m/n/10.95 Over- Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qtm/m/n/10.95 Nan-Guard- Underfull \hbox (badness 10000) in paragraph at lines 8186--8186 []\T1/qtm/m/n/10.95 VERY Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [128] Underfull \hbox (badness 10000) in paragraph at lines 8319--8319 []\T1/qhv/m/n/10.95 Com-pile Underfull \hbox (badness 10000) in paragraph at lines 8319--8319 []\T1/qhv/m/n/10.95 Ex-e-cu-tion Underfull \hbox (badness 10000) in paragraph at lines 8319--8319 []\T1/qtm/m/n/10.95 o1 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [129] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [130] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [131] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [132] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [133 <./logreg_pydotprint_prediction2.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [134 <./logreg_pydotprint_predict2.png> <./logreg_pydotprint_train2.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [135 <./d3viz.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [136] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [137] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [138] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [139] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [140] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [141] Underfull \hbox (badness 10000) in paragraph at lines 8926--8929 []\T1/qtm/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: Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [142] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [143] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [144] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [145] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [146] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [147] Overfull \hbox (160.82112pt too wide) in paragraph at lines 9333--9333 [] Underfull \hbox (badness 10000) in paragraph at lines 9333--9333 Underfull \hbox (badness 10000) in paragraph at lines 9399--9401 []\T1/qtm/m/n/10.95 THEANO_FLAGS=optimizer_excluding=fusion:inplace,profile=Tru e python Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [148] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [149] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [150 <./apply.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [151] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [152] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [153] Overfull \vbox (2.55638pt too high) detected at line 9854 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [154] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [155] Overfull \hbox (6.0pt too wide) in paragraph at lines 9955--9955 []| Overfull \hbox (6.0pt too wide) in paragraph at lines 9955--9955 []| Overfull \hbox (6.00545pt too wide) in paragraph at lines 9955--9956 [][] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [156 <./symbolic_graph_unopt.png> <./symbolic_graph_opt.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [157] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [158] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [159] Overfull \vbox (2.55638pt too high) detected at line 10256 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [160] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [161] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [162] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [163] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [164] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [165] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [166] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [167 <./apply_node.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [168] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [169] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [170] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [171] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [172] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [173] Overfull \vbox (1.51445pt too high) detected at line 11256 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [174] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [175] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [176] Underfull \hbox (badness 10000) in paragraph at lines 11379--11384 []\T1/qtm/m/n/10.95 The class \T1/txtt/m/n/10.95 RopLop_checker \T1/qtm/m/n/10. 95 de-fines the func-tions \T1/txtt/m/n/10.95 RopLop_checker.check_mat_rop_lop( )\T1/qtm/m/n/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [177] Underfull \hbox (badness 10000) in paragraph at lines 11436--11439 []\T1/txtt/m/n/10.95 theano[]nose test_file.py:test_DoubleRop\T1/qtm/m/n/10.95 : Run ev-ery test found in-side the class Underfull \hbox (badness 10000) in paragraph at lines 11441--11444 []\T1/txtt/m/n/10.95 theano[]nose test_file.py:test_DoubleRop.test_double_op\T1 /qtm/m/n/10.95 : Run only the test Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [178] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [179] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [180] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [181] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [182] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [183] Underfull \hbox (badness 10000) in paragraph at lines 11999--12003 \T1/qtm/m/n/10.95 NPY_ARRAY_F_CONTIGUOUS, NPY_ARRAY_OWNDATA, NPY_ARRAY_ALIGNED, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [184] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [185] Underfull \hbox (badness 10000) in paragraph at lines 12140--12146 []\T1/qtm/m/n/10.95 This sec-tion de-scribes the meth-ods [][]\T1/txtt/m/sl/10. 95 Op.c_code()[][]\T1/qtm/m/n/10.95 , [][]\T1/txtt/m/sl/10.95 Op.c_support_code ()[][]\T1/qtm/m/n/10.95 , [][]\T1/txtt/m/sl/10.95 Op. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [186] Underfull \hbox (badness 10000) in paragraph at lines 12298--12302 []\T1/qtm/m/n/10.95 When de-vel-op-ing an Op, you should run com-pu-ta-tions in De-bug-Mode, by us-ing ar-gu-ment Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [187] Overfull \vbox (2.26854pt too high) detected at line 12437 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [188] Underfull \vbox (badness 10000) detected at line 12437 Overfull \vbox (4.0622pt too high) detected at line 12437 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [189] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [190] Overfull \vbox (4.01622pt too high) detected at line 12596 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [191] Underfull \vbox (badness 10000) detected at line 12596 Overfull \vbox (4.0622pt too high) detected at line 12596 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [192] Underfull \hbox (badness 10000) in paragraph at lines 12620--12624 []\T1/qtm/m/n/10.95 It can au-to-mat-i-cally han-dle all the meth-ods that re-t urn C code, in ad-di-tion to [][]\T1/txtt/m/sl/10.95 Op. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [193] Underfull \vbox (badness 6493) detected at line 12742 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [194] Underfull \vbox (badness 10000) detected at line 12742 Overfull \vbox (4.0622pt too high) detected at line 12742 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [195] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [196] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [197] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [198] Overfull \vbox (2.53865pt too high) detected at line 13070 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [199] Overfull \vbox (1.51445pt too high) detected at line 13128 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [200] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [201] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [202] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [203] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [204] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [205] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [206] Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `\sphinxtitleref' on input line 13731. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [207] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [208] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [209] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [210] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [211] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [212] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [213] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [214] Underfull \hbox (badness 10000) in paragraph at lines 14522--14530 []\T1/qtm/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/qtm/m/n/10.95 , then the lis t \T1/txtt/m/n/10.95 output_gradients \T1/qtm/m/n/10.95 is Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [215] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [216] Underfull \hbox (badness 10000) in paragraph at lines 14639--14645 []\T1/qtm/m/n/10.95 The grad method Underfull \hbox (badness 10000) in paragraph at lines 14649--14655 []\T1/qtm/m/n/10.95 If Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [217] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [218] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [219] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [220] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [221] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [222] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [223] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [224] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [225] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [226] Underfull \hbox (badness 10000) in paragraph at lines 15391--15399 \T1/txtt/m/sl/10.95 sparse.basic.csm_data()[][]\T1/qtm/m/n/10.95 , [][]\T1/txtt /m/sl/10.95 theano.sparse.basic.csm_indices()[][]\T1/qtm/m/n/10.95 , [][]\T1/tx tt/m/sl/10.95 theano.sparse.basic. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [227] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [228] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [229] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [230] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [231] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [232] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [233] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [234] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [235] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [236] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [237] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [238] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [239] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [240] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [241] Overfull \vbox (1.1468pt too high) detected at line 16874 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [242] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [243] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [244] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [245] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [246] Underfull \vbox (badness 10000) detected at line 17160 Overfull \vbox (4.0622pt too high) detected at line 17160 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [247] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [248] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [249] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [250] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [251] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [252] Underfull \vbox (badness 10000) detected at line 17572 Overfull \vbox (4.0622pt too high) detected at line 17572 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [253] Underfull \vbox (badness 10000) detected at line 17572 Overfull \vbox (4.0622pt too high) detected at line 17572 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [254] Overfull \vbox (2.60233pt too high) detected at line 17623 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [255] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [256] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [257] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [258] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [259] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [260] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [261] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [262] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [263] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [264] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [265] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [266] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [267] Underfull \hbox (badness 10000) in paragraph at lines 18618--18620 []\T1/txtt/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compi ling): 7. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [268] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.062pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [269] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.06216pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [270] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.06216pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [271] Underfull \vbox (badness 10000) detected at line 18835 Overfull \vbox (4.06215pt too high) detected at line 18835 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [272] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [273] Underfull \vbox (badness 4819) detected at line 18974 Overfull \vbox (4.01613pt too high) detected at line 18974 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [274] Underfull \vbox (badness 10000) detected at line 18974 Overfull \vbox (4.06207pt too high) detected at line 18974 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [275] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [276] Underfull \hbox (badness 5637) in paragraph at lines 19038--19041 []\T1/qtm/m/n/10.95 Op-ti-miza-tion with that pat-tern \T1/qtm/m/it/10.95 lo-ca l_op_sink \T1/qtm/m/n/10.95 is the op-po-site of \T1/qtm/m/it/10.95 lift\T1/qtm /m/n/10.95 . For in-stance Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [277] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [278] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [279] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [280] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [281] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [282] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [283] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [284] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [285] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [286] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [287] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [288] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [289] Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Type of Underfull \hbox (badness 5331) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 scan vari- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 in-ner in-put Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 at timestep \T1/qhv/m/it/10.95 t Underfull \hbox (badness 7595) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 in-ner out-put Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 at timestep \T1/qhv/m/it/10.95 t Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 ing outer Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qhv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 ing ar-gu- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/n/10.95 ment of the Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qhv/m/it/10.95 theano.scan() Underfull \hbox (badness 5119) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Se-quence of Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 In-di-vid-ual se- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurring Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Singly- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 (value at Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 at pre-vi-ous Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 mul-ti-ple Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 out-puts Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Out-put val-ues Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 \T1/qtm/m/n/10.95 mul-ti-ple fu-ture Underfull \hbox (badness 10000) in paragraph at lines 20129--20129 []\T1/qtm/m/n/10.95 Con-cate-na-tion Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [290] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [291] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [292] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [293] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [294] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [295] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [296] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [297] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [298] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [299] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [300] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [301] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [302] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [303] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [304] (/usr/share/texmf/tex/latex/tex-gyre/ts1qhv.fd) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [305] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [306] Overfull \hbox (23.26746pt too wide) in paragraph at lines 21739--21741 []\T1/txtt/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) []> inc_su btensor(inc_subtensor(a, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [307] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [308] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [309] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [310] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [311] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [312] Underfull \hbox (badness 10000) in paragraph at lines 22430--22434 []\T1/txtt/bx/n/10.95 params \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 list of eit her Variable or In instances, but not Underfull \hbox (badness 10000) in paragraph at lines 22444--22447 []\T1/txtt/bx/n/10.95 updates \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 iterable o ver pairs (shared_variable, Underfull \hbox (badness 10000) in paragraph at lines 22444--22447 \T1/txtt/m/sl/10.95 new_expression). List, tuple or dict.\T1/qtm/m/n/10.95 ) ^^ U ex-pres-sions for new Underfull \hbox (badness 10000) in paragraph at lines 22449--22454 []\T1/txtt/bx/n/10.95 givens \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 iterable ov er pairs (Var1, Var2) of Variables. List, Underfull \hbox (badness 10000) in paragraph at lines 22449--22454 \T1/txtt/m/sl/10.95 tuple or dict. The Var1 and Var2 in each pair must have the Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [313] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [314] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [315] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [316] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [317] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [318] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [319] Underfull \hbox (badness 10000) in paragraph at lines 23096--23098 []\T1/qtm/m/n/10.95 a tu-ple \T1/txtt/m/n/10.95 (name, (r,up), val) \T1/qtm/m/n /10.95 will be \T1/txtt/m/n/10.95 In(r, name=name, value=val, update=up, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [320] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [321] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [322] Underfull \hbox (badness 6758) in paragraph at lines 23234--23239 []\T1/qtm/m/n/10.95 This file con-tains aux-il-iary Ops, used dur-ing the com-p i-la-tion phase and Ops build-ing class Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [323] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [324] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [325] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [326] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [327] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [328] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [329] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [330] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [331] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [332] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [333] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [334] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [335] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [336] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [337] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [338] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [339] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [340] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [341] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [342] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [343] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [344] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [345] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [346] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [347] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [348] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [349] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [350] Overfull \hbox (44.8225pt too wide) in paragraph at lines 26469--26472 \T1/qtm/m/n/10.95 De-fault: \T1/txtt/m/n/10.95 "compiledir_%(platform)s[]%(proc essor)s[]%(python_version)s[]%(python_bitwidth)s" Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [351] Underfull \hbox (badness 10000) in paragraph at lines 26650--26656 \T1/qtm/m/n/10.95 String value: \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 small\T S1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 none\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/ 10.95 large\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/tx tt/m/n/10.95 fft\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\ T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/ m/n/10.95 '\T1/txtt/m/n/10.95 winograd\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26650--26656 \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 winograd_non_fused\TS1/txtt/m/n/10.95 ' \T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt /m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_o n_shape_change\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1 /txtt/m/n/10.95 time_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26660--26663 []\T1/qtm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/txtt/m/n/10.95 '\T1/tx tt/m/n/10.95 none\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 small\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/ 10.95 '\T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \T S1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/ n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26685--26690 \T1/qtm/m/n/10.95 String value: \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 none\TS 1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 d eterministic\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/t xtt/m/n/10.95 fft\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 small\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/ 10.95 '\T1/txtt/m/n/10.95 winograd_non_fused\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10 .95 , Underfull \hbox (badness 10000) in paragraph at lines 26685--26690 \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/ m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt/m/n/10. 95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_on_shape_ change\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/ n/10.95 time_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26706--26712 \T1/qtm/m/n/10.95 String value: \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 none\TS 1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 d eterministic\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/t xtt/m/n/10.95 fft\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt /m/n/10.95 '\T1/txtt/m/n/10.95 winograd\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 26706--26712 \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 winograd_non_fused\TS1/txtt/m/n/10.95 ' \T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_once\TS1/txtt /m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1/txtt/m/n/10.95 guess_o n_shape_change\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 '\T1 /txtt/m/n/10.95 time_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Underfull \hbox (badness 6412) in paragraph at lines 26716--26720 []\T1/qtm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/txtt/m/n/10.95 '\T1/tx tt/m/n/10.95 none\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/txtt/m/n/10.95 ' \T1/txtt/m/n/10.95 deterministic\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , \TS1/t xtt/m/n/10.95 '\T1/txtt/m/n/10.95 fft_tiling\TS1/txtt/m/n/10.95 ' '\T1/txtt/m/n /10.95 guess_once\TS1/txtt/m/n/10.95 '\T1/qtm/m/n/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [352] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [353] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [354] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [355] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [356] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [357] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [358] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [359] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [360] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [361 <./index_10_0.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [362] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [363 <./index_24_0.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [364] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [365] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [366] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [367] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [368] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [369] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [370] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [371] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [372] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [373] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [374] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [375] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [376] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [377] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [378] Underfull \hbox (badness 10000) in paragraph at lines 29539--29542 []\T1/qtm/m/n/10.95 For each fea-ture that has a `on_change_input' method, call s: fea- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [379] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [380] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [381] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [382] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [383] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [384] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [385] Underfull \hbox (badness 10000) in paragraph at lines 30370--30373 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [386] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [387] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [388] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [389] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [390] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [391] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [392] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [393] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [394] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [395] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [396] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [397] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [398] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [399] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [400] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [401] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [402] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [403] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [404] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [405] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [406] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [407] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [408] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [409] Underfull \hbox (badness 10000) in paragraph at lines 32964--32967 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [410] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [411] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [412] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [413] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [414] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [415] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [416] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [417] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [418] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [419] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [420] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [421] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [422] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [423] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [424] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [425] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [426] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [427] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [428] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [429] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [430] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [431] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [432] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [433] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [434] Underfull \hbox (badness 10000) in paragraph at lines 35979--35982 []\T1/qtm/m/n/10.95 It can also have the key \T1/qtm/m/it/10.95 cflags \T1/qtm/ m/n/10.95 which is a string of C flag val-ues like this Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [435] Underfull \hbox (badness 10000) in paragraph at lines 36139--36146 \T1/qtm/m/n/10.95 This gen-er-ates the C code for Gpu-Corr3dMM (di-rec-tion=^^Q forward^^Q), Gpu- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [436] Underfull \hbox (badness 7203) in paragraph at lines 36164--36170 []\T1/txtt/bx/n/10.95 direction \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 forward\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backprop weights\TS1/txtt/m/sl /10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backpro p inputs\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [437] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [438] Underfull \hbox (badness 7203) in paragraph at lines 36383--36389 []\T1/txtt/bx/n/10.95 direction \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 forward\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backprop weights\TS1/txtt/m/sl /10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 backpro p inputs\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [439] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [440] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [441] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [442] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [443] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [444] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [445] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [446] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [447] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [448] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [449] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [450] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [451] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [452] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [453] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [454] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [455] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [456] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [457] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [458] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [459] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [460] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [461] Overfull \hbox (10.75157pt too wide) in paragraph at lines 39131--39131 \T1/qtm/m/it/10.95 set_instead_of_inc=False\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [462] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [463] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [464] Overfull \hbox (10.75157pt too wide) in paragraph at lines 39494--39494 \T1/qtm/m/it/10.95 set_instead_of_inc=False\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [465] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [466] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [467] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [468] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [469] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [470] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [471] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [472] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [473] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [474] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [475] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [476] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [477] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [478] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [479] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [480] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [481] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [482] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [483] Underfull \hbox (badness 10000) in paragraph at lines 41834--41836 [][][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn.dnn_gradweight()[][]\T1/qtm/m/n/1 0.95 , [][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn. Underfull \hbox (badness 10000) in paragraph at lines 41838--41840 [][][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn.dnn_gradinput()[][]\T1/qtm/m/n/10 .95 , [][]\T1/txtt/m/sl/10.95 theano.gpuarray.dnn. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [484] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [485] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [486] Underfull \hbox (badness 10000) in paragraph at lines 42179--42182 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [487] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [488] Underfull \hbox (badness 10000) in paragraph at lines 42429--42432 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [489] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [490] Underfull \hbox (badness 10000) in paragraph at lines 42649--42652 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 small\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 large\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft_ tiling\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 42649--42652 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 winograd\TS1/txtt/m/sl/10.95 '\T1/txt t/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_once\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [491] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [492] Underfull \hbox (badness 10000) in paragraph at lines 42869--42872 []\T1/qtm/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 42940--42943 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 deterministic\TS1/txtt/m/sl/10.95 '\T1 /txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m/sl/ 10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft_tili ng\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 winograd\TS1/txtt/m/sl/10.95 '\T1/txt t/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_once\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', Underfull \hbox (badness 10000) in paragraph at lines 42940--42943 \T1/qtm/m/n/10.95 `time_on_shape_change'} De-fault is the value of \T1/txtt/m/n /10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 42991--42994 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 deterministic\TS1/txtt/m/sl/10.95 '\T1 /txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m/sl/ 10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 small\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 guess_once\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 ,\T1/qtm/m/n/10.95 ) ^^ U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [493] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [494] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [495] Underfull \hbox (badness 10000) in paragraph at lines 43354--43357 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [496] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [497] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [498] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [499] Underfull \hbox (badness 7064) in paragraph at lines 43961--43966 \T1/qtm/m/it/10.95 puts\T1/qtm/m/n/10.95 , but have sizes of \T1/qtm/m/it/10.95 1 \T1/qtm/m/n/10.95 for all axes nor-mal-ized over (i.e., in the Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [500] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [501] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [502] Underfull \hbox (badness 10000) in paragraph at lines 44186--44190 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \ TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 small\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 large\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 fft\TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 gues s_once\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 44186--44190 \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 guess_on_shape_change\TS1/txtt/m/sl/1 0.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 time_once \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl /10.95 time_on_shape_change\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 }\T1/qtm/m /n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 44192--44197 []\T1/txtt/bx/n/10.95 precision \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input_f32\TS1/txtt/m/sl/10.95 '\T1/txtt/m /sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input\TS1/txtt/m/sl/10 .95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 float16\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 float32\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [503] Underfull \hbox (badness 10000) in paragraph at lines 44273--44275 []\T1/txtt/bx/n/10.95 algo \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 convolution i mplementation to use. Only \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 none\TS1/t xtt/m/sl/10.95 ' \T1/txtt/m/sl/10.95 is Underfull \hbox (badness 10000) in paragraph at lines 44277--44282 []\T1/txtt/bx/n/10.95 precision \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/tx tt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input_f32\TS1/txtt/m/sl/10.95 '\T1/txtt/m /sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 as_input\TS1/txtt/m/sl/10 .95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 float16\TS 1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10 .95 float32\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [504] Underfull \hbox (badness 10000) in paragraph at lines 44380--44382 []\T1/txtt/bx/n/10.95 mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 {\TS1/txtt/m/ sl/10.95 '\T1/txtt/m/sl/10.95 max\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \T S1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 average_inc_pad\TS1/txtt/m/sl/10.95 '\T 1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 average_exc_pad\T S1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/1 0.95 sum\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [505] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [506] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [507] Underfull \hbox (badness 10000) in paragraph at lines 44710--44712 []\T1/txtt/bx/n/10.95 function \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Only with borrow=False and Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [508 <./plot_fft.png>] Underfull \hbox (badness 10000) in paragraph at lines 44752--44754 []\T1/txtt/bx/n/10.95 using \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Changes to t his value will be visible to all Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [509] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [510] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [511] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [512] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [513] Underfull \hbox (badness 10000) in paragraph at lines 45348--45351 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [514] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [515] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [516] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [517] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [518] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [519] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [520] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [521] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [522] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [523] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [524] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [525] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [526] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [527] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [528] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [529] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [530] Underfull \hbox (badness 10000) in paragraph at lines 47352--47355 []\T1/qtm/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 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [531] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [532] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [533] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [534] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [535] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [536] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [537] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [538] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [539] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [540] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [541] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [542] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [543] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [544] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [545] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [546] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [547] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [548] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [549] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [550] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [551] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [552] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [553] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [554] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [555] Underfull \hbox (badness 10000) in paragraph at lines 50270--50272 []\T1/txtt/bx/n/10.95 Example \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 p = [[.98, .01, .01], [.01, .49, .50]] and size=1 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [556] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [557] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [558] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [559] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [560] Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 50860. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `superscript' on input line 50860. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [561] Overfull \vbox (1.51443pt too high) detected at line 50976 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [562] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [563] Overfull \vbox (1.51445pt too high) detected at line 51089 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [564] Overfull \vbox (1.51443pt too high) detected at line 51140 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [565] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [566] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [567] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [568] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [569] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [570] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [571] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [572] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [573] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [574] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [575] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [576] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [577] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [578] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [579] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [580] Overfull \vbox (3.06851pt too high) detected at line 52444 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [581] Underfull \hbox (badness 6412) in paragraph at lines 52463--52466 []\T1/qtm/m/n/10.95 Theano Spar-se-Vari-able ob-jects have a method \T1/txtt/m/ n/10.95 toarray() \T1/qtm/m/n/10.95 that is the same as Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [582] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [583] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [584] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [585] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [586] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [587] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [588] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [589] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [590] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [591] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [592] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [593] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [594] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [595] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [596] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [597] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [598] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [599] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [600] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [601] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [602] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [603] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [604] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [605] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [606] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [607] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [608] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [609] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [610] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [611] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [612] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [613] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [614] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [615] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [616] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [617] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [618] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [619] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [620] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [621] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [622] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [623] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [624] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [625] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [626] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [627] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [628] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [629] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [630] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [631] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [632] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [633] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [634] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [635] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [636] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [637] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [638] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [639] Overfull \hbox (2.4627pt too wide) in paragraph at lines 60785--60785 []\T1/txtt/bx/n/10.95 copy() Return a new symbolic variable that is a copy of t he variable. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [640] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [641] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [642] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [643] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [644] Underfull \hbox (badness 5802) in paragraph at lines 61543--61547 []\T1/qtm/m/n/10.95 To re-order the di-men-sions of a vari-able, to in-sert or re-move broad-castable di-men-sions, see Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [645] Underfull \hbox (badness 10000) in paragraph at lines 61703--61707 []\T1/txtt/bx/n/10.95 axis \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 an int or an iterable object such as list or tuple of Underfull \hbox (badness 10000) in paragraph at lines 61747--61751 []\T1/txtt/bx/n/10.95 axis \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 an int or an iterable object such as list or tuple of Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [646] Underfull \hbox (badness 10000) in paragraph at lines 61792--61796 []\T1/txtt/bx/n/10.95 broadcastable \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 an i terable object such as list or tuple of Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [647] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [648] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [649] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [650] Overfull \vbox (1.61612pt too high) detected at line 62331 Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [651] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [652] Underfull \hbox (badness 10000) in paragraph at lines 62541--62544 [] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [653] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [654] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [655] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [656] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [657] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [658] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [659] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [660] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [661] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [662] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [663] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [664] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [665] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [666] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [667] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [668] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [669] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [670] Underfull \hbox (badness 10000) in paragraph at lines 64616--64620 []\T1/qtm/m/n/10.95 Ei-ther cuDNN and the gemm ver-sion can be dis-abled us-ing the Theano flags Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [671] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [672] Underfull \hbox (badness 10000) in paragraph at lines 64775--64780 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 or 6 of int or Underfull \hbox (badness 10000) in paragraph at lines 64791--64794 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 64795--64800 []\T1/qtm/m/n/10.95 rows Underfull \hbox (badness 10000) in paragraph at lines 64801--64804 []\T1/qtm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 64805--64808 []\T1/txtt/m/n/10.95 int2\T1/qtm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 64809--64813 []\T1/qtm/m/n/10.95 pad in-put Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [673] Underfull \hbox (badness 10000) in paragraph at lines 64830--64832 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [674] Underfull \hbox (badness 10000) in paragraph at lines 64915--64920 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 64922--64928 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 str, i nt or tuple of two int\T1/qtm/m/n/10.95 ) ^^U Refers to the Underfull \hbox (badness 10000) in paragraph at lines 64922--64928 \T1/txtt/m/n/10.95 border_mode \T1/qtm/m/n/10.95 ar-gu-ment of the cor-re-spond -ing for-ward (non-transposed) Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [675] Underfull \hbox (badness 10000) in paragraph at lines 65012--65017 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 65019--65024 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 65035--65038 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 65045--65048 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [676] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [677] Underfull \hbox (badness 10000) in paragraph at lines 65207--65212 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int, None or Underfull \hbox (badness 10000) in paragraph at lines 65214--65218 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int, None or Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [678] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [679] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [680] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [681] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [682] Underfull \hbox (badness 10000) in paragraph at lines 65728--65732 []\T1/qtm/m/n/10.95 bor-der of Underfull \hbox (badness 10000) in paragraph at lines 65733--65736 []\T1/txtt/m/n/10.95 int1\T1/qtm/m/n/10.95 , \T1/txtt/m/n/10.95 int2 \T1/qtm/m/ n/10.95 and Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [683] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [684] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [685] Underfull \hbox (badness 10000) in paragraph at lines 66086--66088 []\T1/txtt/bx/n/10.95 kshp \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 List/tuple of length \TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 convdim\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.95 , indicating the size of Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [686] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [687] Underfull \hbox (badness 10000) in paragraph at lines 66211--66215 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric) corresponding Underfull \hbox (badness 10000) in paragraph at lines 66236--66239 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 66241--66244 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [688] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [689] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [690] Underfull \hbox (badness 10000) in paragraph at lines 66485--66491 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 [None /int/Constant] * (2 or 4) + [Tensor/int/ Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [691] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [692] Underfull \hbox (badness 10000) in paragraph at lines 66636--66641 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 66643--66648 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 66659--66662 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 66669--66672 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [693] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [694] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [695] Underfull \hbox (badness 10000) in paragraph at lines 66900--66906 []\T1/txtt/bx/n/10.95 filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 [None /int/Constant] * 2 + [Tensor/int/Constant] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [696] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [697] Underfull \hbox (badness 10000) in paragraph at lines 67098--67101 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67103--67106 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67108--67110 []\T1/txtt/bx/n/10.95 num_groups \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 An int which specifies the number of separate Underfull \hbox (badness 10000) in paragraph at lines 67112--67114 []\TS1/txtt/bx/n/10.95 '\T1/txtt/bx/n/10.95 unshared\TS1/txtt/bx/n/10.95 ' \T1/ qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Note [] The shape of the convolution output does Underfull \hbox (badness 10000) in paragraph at lines 67146--67148 []\T1/txtt/bx/n/10.95 kernel_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int o r None. Corresponds to the kernel shape on Underfull \hbox (badness 10000) in paragraph at lines 67150--67152 []\T1/txtt/bx/n/10.95 top_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int or N one. Corresponds to the top shape on a Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [698] Underfull \hbox (badness 10000) in paragraph at lines 67154--67159 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Underfull \hbox (badness 10000) in paragraph at lines 67199--67203 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int corresponding to the input image Underfull \hbox (badness 10000) in paragraph at lines 67218--67221 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67223--67226 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67228--67230 []\T1/txtt/bx/n/10.95 num_groups \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 An int which specifies the number of separate Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [699] Underfull \hbox (badness 10000) in paragraph at lines 67272--67274 []\T1/txtt/bx/n/10.95 top_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int or N one. Corresponds to the top shape on a Underfull \hbox (badness 10000) in paragraph at lines 67276--67281 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Underfull \hbox (badness 10000) in paragraph at lines 67316--67320 []\T1/txtt/bx/n/10.95 image_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric) corresponding Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [700] Underfull \hbox (badness 10000) in paragraph at lines 67340--67343 []\T1/txtt/bx/n/10.95 subsample \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of int (symbolic or numeric). Its two or Underfull \hbox (badness 10000) in paragraph at lines 67345--67347 []\T1/txtt/bx/n/10.95 filter_dilation \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tu ple of int (symbolic or numeric). Its two Underfull \hbox (badness 10000) in paragraph at lines 67349--67351 []\TS1/txtt/bx/n/10.95 '\T1/txtt/bx/n/10.95 unshared\TS1/txtt/bx/n/10.95 ' \T1/ qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Note [] The shape of the convolution output does Underfull \hbox (badness 10000) in paragraph at lines 67383--67385 []\T1/txtt/bx/n/10.95 kernel_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 int o r None. Corresponds to the kernel shape on Underfull \hbox (badness 10000) in paragraph at lines 67387--67392 []\T1/txtt/bx/n/10.95 border_mode \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 string , int or tuple of 2 ints. If it is a Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [701] Underfull \hbox (badness 10000) in paragraph at lines 67450--67455 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 67457--67462 []\T1/txtt/bx/n/10.95 depthwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 4 of int or Underfull \hbox (badness 10000) in paragraph at lines 67464--67469 []\T1/txtt/bx/n/10.95 pointwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 4 of int or Underfull \hbox (badness 10000) in paragraph at lines 67481--67484 []\T1/qtm/m/n/10.95 Gen-er-ates Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [702] Underfull \hbox (badness 10000) in paragraph at lines 67485--67490 []\T1/qtm/m/n/10.95 rows Underfull \hbox (badness 10000) in paragraph at lines 67491--67494 []\T1/qtm/m/n/10.95 width, then Underfull \hbox (badness 5203) in paragraph at lines 67495--67498 []\T1/qtm/m/n/10.95 and \T1/txtt/m/n/10.95 int2 Underfull \hbox (badness 10000) in paragraph at lines 67499--67503 []\T1/qtm/m/n/10.95 pad in-put with one Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [703] Underfull \hbox (badness 10000) in paragraph at lines 67579--67584 []\T1/txtt/bx/n/10.95 input_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 None, tuple/list of len 5 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 67586--67591 []\T1/txtt/bx/n/10.95 depthwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 67593--67598 []\T1/txtt/bx/n/10.95 pointwise_filter_shape \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/1 0.95 None, tuple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 67610--67613 []\T1/qtm/m/n/10.95 Gen-er-ates Underfull \hbox (badness 10000) in paragraph at lines 67620--67623 []\T1/qtm/m/n/10.95 width, then Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [704] Underfull \hbox (badness 10000) in paragraph at lines 67785--67787 []\T1/qtm/m/n/10.95 Pre-ci-sion: sig-moid(with or with-out amdlibm) > ul-tra_fa st_sigmoid > Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [705] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [706 <./sigmoid_prec.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [707] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [708] Underfull \hbox (badness 10000) in paragraph at lines 68159--68162 []\T1/qtm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [709] Underfull \hbox (badness 10000) in paragraph at lines 68207--68210 []\T1/qtm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [710] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [711] Underfull \hbox (badness 10000) in paragraph at lines 68362--68365 []\T1/txtt/bx/n/10.95 W1 \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of shape (number of features of the input x, Underfull \hbox (badness 10000) in paragraph at lines 68371--68375 []\T1/txtt/bx/n/10.95 W2 \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of shape (n_classes, number of features of the Underfull \hbox (badness 10000) in paragraph at lines 68381--68387 []\T1/txtt/bx/n/10.95 target \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tensor of s hape either (batch_size,) or (batch_size, Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [712] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [713] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [714] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [715] Underfull \hbox (badness 5431) in paragraph at lines 68720--68726 []\T1/txtt/bx/n/10.95 axes \T1/qtm/m/n/10.95 (\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 per[]activation\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 spatial\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.9 5 or a tuple of ints\T1/qtm/m/n/10.95 ) ^^U The axes Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [716] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [717] Underfull \hbox (badness 5431) in paragraph at lines 68837--68843 []\T1/txtt/bx/n/10.95 axes \T1/qtm/m/n/10.95 (\TS1/txtt/m/sl/10.95 '\T1/txtt/m/ sl/10.95 per[]activation\TS1/txtt/m/sl/10.95 '\T1/txtt/m/sl/10.95 , \TS1/txtt/m /sl/10.95 '\T1/txtt/m/sl/10.95 spatial\TS1/txtt/m/sl/10.95 ' \T1/txtt/m/sl/10.9 5 or a tuple of ints\T1/qtm/m/n/10.95 ) ^^U The axes Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [718] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [719] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [720 <./blocksparse.png>] Underfull \hbox (badness 10000) in paragraph at lines 69074--69077 []\T1/qtm/m/n/10.95 Which blocks Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [721] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [722] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [723] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [724] Underfull \hbox (badness 10000) in paragraph at lines 69482--69485 []\T1/qtm/m/n/10.95 Raw ran-dom pro-vides the random-number draw-ing func-tion- al-ity, that un-der-lies the friendlier Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [725] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [726] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [727] Overfull \hbox (3.51373pt too wide) in paragraph at lines 69923--69923 []\T1/qtm/m/it/10.95 raw_random.RandomStreamsBase\T1/txtt/m/n/10.95 )| Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [728] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [729] Underfull \hbox (badness 10000) in paragraph at lines 70097--70099 []\T1/txtt/bx/n/10.95 filters \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 Symbolic t heano tensor for convolution filter(s).\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [730] Underfull \hbox (badness 10000) in paragraph at lines 70188--70191 []\T1/txtt/bx/n/10.95 ignore_border \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 bool (default None, will print a warning and Underfull \hbox (badness 5460) in paragraph at lines 70193--70198 []\T1/txtt/bx/n/10.95 stride \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of tw o ints or theano vector of ints of size 2.\T1/qtm/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 70200--70204 []\T1/txtt/bx/n/10.95 pad \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of two i nts or theano vector of ints of size 2.\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [731] Underfull \hbox (badness 10000) in paragraph at lines 70284--70287 []\T1/txtt/bx/n/10.95 ignore_border \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 bool (default None, will print a warning and Underfull \hbox (badness 10000) in paragraph at lines 70289--70293 []\T1/txtt/bx/n/10.95 st \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of three ints or theano vector of ints of size 3\T1/qtm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 70295--70300 []\T1/txtt/bx/n/10.95 pad \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 tuple of two i nts or theano vector of ints of size 3\T1/qtm/m/n/10.95 ) ^^U Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [732] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [733] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [734] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [735] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [736] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [737] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [738] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [739] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [740] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [741] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [742] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [743] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [744] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [745] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [746] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [747] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [748] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [749] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [750] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [751] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [752] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [753] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [754] Underfull \hbox (badness 10000) in paragraph at lines 73009--73011 []\T1/txtt/bx/n/10.95 weights \T1/qtm/m/n/10.95 (\T1/txtt/m/sl/10.95 array of t he same shape as x with corresponding Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [755] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [756] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [757] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [758] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [759] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [760] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [761] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [762] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [763] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [764] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [765] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [766] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [767] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [768] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [769] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [770] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [771] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [772] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [773] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [774] Underfull \hbox (badness 10000) in paragraph at lines 75359--75363 \T1/qtm/m/n/10.95 Ap-ply as many times as re-quired the op-ti-miza-tion lo-cal_ useless_rebroadcast and lo- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [775] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [776] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [777] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [778] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [779] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [780] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [781] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [782] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [783] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [784] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [785] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [786] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [787] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [788] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [789] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [790] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [791] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [792] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [793] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [794] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [795 <./plot_fft1.png>] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [796] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [797] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [798] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [799] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [800] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [801] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [802] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [803] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [804] Underfull \hbox (badness 10000) in paragraph at lines 79031--79036 []\T1/qtm/m/n/10.95 Theano Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [805] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [806] Underfull \hbox (badness 10000) in paragraph at lines 79254--79257 []\T1/qtm/m/n/10.95 Cur-rently only vari-able cre-ated by Ad-vanced-Sub-ten-sor 1 is sup-ported. i.e. Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [807] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [808] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [809] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [810] Underfull \hbox (badness 10000) in paragraph at lines 79620--79622 []\T1/qtm/m/n/10.95 Im-portEr-ror: (`/home/Nick/.theano/compiledir_Linux-2.6.35 -31-generic-x86_64-with- Underfull \hbox (badness 10000) in paragraph at lines 79620--79622 \T1/qtm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109 a06ca04b360.so: un-de- Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [811] Underfull \hbox (badness 8000) in paragraph at lines 79684--79688 []\T1/qtm/m/n/10.95 You can en-sure Mac-Ports shared li-braries are given pri-o r-ity at run-time with \T1/txtt/m/n/10.95 export Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [812] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [813] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [814] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [815] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [816] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [817] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [818] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [819] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [820] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [821] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [822] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [823] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [824] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [825] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [826] Underfull \hbox (badness 7869) in paragraph at lines 80861--80862 []\T1/txtt/m/n/10.95 theano.compile.debugmode \T1/qtm/m/n/10.95 (\T1/qtm/m/it/1 0.95 Unix, Win-dows\T1/qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 80865--80866 []\T1/txtt/m/n/10.95 theano.compile.nanguardmode \T1/qtm/m/n/10.95 (\T1/qtm/m/i t/10.95 Unix, Win- [827] Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [828] (./theano.ind Overfull \hbox (18.25989pt too wide) in paragraph at lines 11--13 []\T1/txtt/m/n/10.95 __call__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.co mpile.function_module.Function Overfull \hbox (12.13878pt too wide) in paragraph at lines 13--15 []\T1/txtt/m/n/10.95 __call__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.d3 viz.formatting.PyDotFormatter Overfull \hbox (10.26651pt too wide) in paragraph at lines 22--24 []\T1/txtt/m/n/10.95 __init__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.co mpile.debugmode.DebugMode Overfull \hbox (26.88846pt too wide) in paragraph at lines 27--29 []\T1/txtt/m/n/10.95 __init__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.co mpile.sharedvalue.SharedVariable Underfull \hbox (badness 10000) in paragraph at lines 30--31 []\T1/txtt/m/n/10.95 __init__() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.te nsor.TensorType method\T1/qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 40--42 []\T1/txtt/m/n/10.95 abs_rel_err() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gradient.numeric_grad Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/txtt/m/n/10.95 abs_rel_errors() Underfull \hbox (badness 10000) in paragraph at lines 42--44 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gradient.numeric_grad method\T1/qt m/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 44--46 []\T1/txtt/m/n/10.95 AbstractConv \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 46--48 []\T1/txtt/m/n/10.95 AbstractConv2d \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 48--50 []\T1/txtt/m/n/10.95 AbstractConv2d_gradInputs \T1/qtm/m/n/10.95 (\T1/qtm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 50--52 []\T1/txtt/m/n/10.95 AbstractConv2d_gradWeights \T1/qtm/m/n/10.95 (\T1/qtm/m/it /10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 52--54 []\T1/txtt/m/n/10.95 AbstractConv3d \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/txtt/m/n/10.95 AbstractConv3d_gradInputs \T1/qtm/m/n/10.95 (\T1/qtm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 56--58 []\T1/txtt/m/n/10.95 AbstractConv3d_gradWeights \T1/qtm/m/n/10.95 (\T1/qtm/m/it /10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 58--60 []\T1/txtt/m/n/10.95 AbstractConv_gradInputs \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 60--62 []\T1/txtt/m/n/10.95 AbstractConv_gradWeights \T1/qtm/m/n/10.95 (\T1/qtm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in paragraph at lines 66--68 []\T1/txtt/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 66--68 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.sandbox.linalg.ops.HintsOptimizer Underfull \hbox (badness 10000) in paragraph at lines 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[840] Underfull \hbox (badness 10000) in paragraph at lines 892--893 []\T1/txtt/m/n/10.95 DebugModeError \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 896--898 []\T1/txtt/m/n/10.95 default_infer_shape() Underfull \hbox (badness 10000) in paragraph at lines 896--898 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tensor.opt.ShapeFeature method\T1/ qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 899--900 []\T1/txtt/m/n/10.95 default_output() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 the ano.gof.graph.Apply Underfull \hbox (badness 10000) in paragraph at lines 900--901 []\T1/txtt/m/n/10.95 dense_from_sparse \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/txtt/m/n/10.95 diagonal() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.te nsor._tensor_py_operators Overfull \hbox (2.20718pt too wide) in paragraph at lines 917--919 []\T1/txtt/m/n/10.95 dimshuffle() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano. tensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 919--920 []\T1/txtt/m/n/10.95 disconnected_grad() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 930--931 []\T1/txtt/m/n/10.95 dnn_gradinput() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 931--932 []\T1/txtt/m/n/10.95 dnn_gradinput3d() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 932--933 []\T1/txtt/m/n/10.95 dnn_gradweight() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 933--934 []\T1/txtt/m/n/10.95 dnn_gradweight3d() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 935--936 []\T1/txtt/m/n/10.95 dnn_spatialtf() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 940--942 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.basic_ops.GpuAlloc Underfull \hbox (badness 10000) in paragraph at lines 942--944 []\T1/txtt/m/n/10.95 do_constant_folding() Overfull \hbox (5.47012pt too wide) in paragraph at lines 942--944 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 944--946 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 944--946 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 946--948 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 946--948 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 948--950 []\T1/txtt/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 948--950 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. 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[]\T1/txtt/m/n/10.95 get_num_denum() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 thea no.tensor.opt.Canonizer Overfull \hbox (17.19775pt too wide) in paragraph at lines 1121--1123 []\T1/txtt/m/n/10.95 get_out_shape() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 thea no.gpuarray.dnn.GpuDnnConv Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 []\T1/txtt/m/n/10.95 get_output_info() Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 1125--1127 []\T1/txtt/m/n/10.95 get_param_size() Overfull \hbox (6.26965pt too wide) in paragraph at lines 1128--1130 []\T1/txtt/m/n/10.95 get_params() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano. gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1132--1133 []\T1/txtt/m/n/10.95 get_parents() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gof.graph.Variable Overfull \hbox (2.30574pt too wide) 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ompile.sharedvalue.SharedVariable Overfull \hbox (47.62773pt too wide) in paragraph at lines 1145--1147 []\T1/txtt/m/n/10.95 get_value() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.g puarray.type.GpuArraySharedVariable Underfull \hbox (badness 10000) in paragraph at lines 1151--1152 []\T1/txtt/m/n/10.95 GetItem2ListsGrad \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 cl ass in Overfull \hbox (49.4454pt too wide) in paragraph at lines 1159--1161 []\T1/txtt/m/n/10.95 gpu_kernels() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gpuarray.basic_ops.CGpuKernelBase Overfull \hbox (7.29897pt too wide) in paragraph at lines 1161--1163 []\T1/txtt/m/n/10.95 gpu_kernels() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gpuarray.basic_ops.GpuEye Overfull \hbox (42.14177pt too wide) in paragraph at lines 1163--1165 []\T1/txtt/m/n/10.95 gpu_kernels() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano .gpuarray.basic_ops.GpuKernelBase Overfull \hbox (3.56496pt too wide) in paragraph at lines 1165--1167 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[844] Underfull \hbox (badness 10000) in paragraph at lines 1182--1184 []\T1/txtt/m/n/10.95 gpu_matrix_inverse() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1185--1186 []\T1/txtt/m/n/10.95 gpu_supported() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 []\T1/txtt/m/n/10.95 GpuAdvancedBooleanIncSubtensor \T1/qtm/m/n/10.95 (\T1/qtm/ m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\T1/txtt/m/n/10.95 GpuAdvancedBooleanSubtensor \T1/qtm/m/n/10.95 (\T1/qtm/m/i t/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1191--1193 []\T1/txtt/m/n/10.95 GpuAdvancedIncSubtensor \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1193--1195 []\T1/txtt/m/n/10.95 GpuAdvancedIncSubtensor1 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in 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[864] Overfull \hbox (39.94086pt too wide) in paragraph at lines 2679--2681 []\T1/txtt/m/n/10.95 uniform() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.san dbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2683--2684 []\T1/txtt/m/n/10.95 unpack() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tens or.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2684--2685 []\T1/txtt/m/n/10.95 unpad_dims() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2685--2686 []\T1/txtt/m/n/10.95 unravel_index() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in m od-ule Overfull \hbox (72.60457pt too wide) in paragraph at lines 2688--2690 []\T1/txtt/m/n/10.95 unshared2d() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano. tensor.nnet.abstract_conv.BaseAbstractConv Overfull \hbox (50.92366pt too wide) in paragraph at lines 2691--2693 []\T1/txtt/m/n/10.95 update \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tensor .shared_randomstreams.RandomVariable Overfull \hbox (65.34476pt too wide) in paragraph at lines 2694--2696 []\T1/txtt/m/n/10.95 updates() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.ten sor.shared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2704--2705 []\T1/txtt/m/n/10.95 value \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gof.typ e.PureType.Constant prop- Underfull \hbox (badness 10000) in paragraph at lines 2705--2707 []\T1/txtt/m/n/10.95 value_validity_msg() Underfull \hbox (badness 10000) in paragraph at lines 2705--2707 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gof.type.PureType method\T1/qtm/m/ n/10.95 ), Overfull \hbox (0.52092pt too wide) in paragraph at lines 2708--2710 []\T1/txtt/m/n/10.95 values_eq() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.g of.params_type.ParamsType Overfull \hbox (8.47063pt too wide) in paragraph at lines 2714--2716 []\T1/txtt/m/n/10.95 values_eq() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.g puarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 2717--2719 []\T1/txtt/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2717--2719 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 2720--2721 []\T1/txtt/m/n/10.95 values_eq_approx() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 t heano.gof.type.PureType Underfull \hbox (badness 10000) in paragraph at lines 2721--2723 []\T1/txtt/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2721--2723 \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2724--2725 []\T1/txtt/m/n/10.95 var() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2727--2728 []\T1/txtt/m/n/10.95 variable \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano.comp ile.function.In at-tribute\T1/qtm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2731--2732 []\T1/txtt/m/n/10.95 variables_and_orphans() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2747--2749 []\T1/txtt/m/n/10.95 warn_input_not_reused \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.9 5 con- Underfull \hbox (badness 10000) in paragraph at lines 2749--2750 []\T1/txtt/m/n/10.95 warn_no_version \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 con- fig.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2751--2752 []\T1/txtt/m/n/10.95 work_dtype() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2753--2754 []\T1/txtt/m/n/10.95 workmem_bwd \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 con-fig. config.dnn.conv at-tribute\T1/qtm/m/n/10.95 ), Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [865] Overfull \hbox (2.20718pt too wide) in paragraph at lines 2766--2768 []\T1/txtt/m/n/10.95 zeros_like() \T1/qtm/m/n/10.95 (\T1/qtm/m/it/10.95 theano. tensor._tensor_py_operators Package fancyhdr Warning: \headheight is too small (12.0pt): (fancyhdr) Make it at least 13.59999pt, for example: (fancyhdr) \setlength{\headheight}{13.59999pt}. (fancyhdr) You might also make \topmargin smaller to compensate: (fancyhdr) \addtolength{\topmargin}{-1.59999pt}. [866]) (./theano.aux) LaTeX Warning: There were undefined references. ) (see the transcript file for additional information){/usr/share/texmf/fonts/enc /dvips/tex-gyre/q-ts1.enc}{/usr/share/texmf/fonts/enc/dvips/tex-gyre/q-ec.enc}{ /usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} Output written on theano.pdf (870 pages, 3991579 bytes). Transcript written on theano.log. Latexmk: Getting log file 'theano.log' Latexmk: Examining 'theano.fls' Latexmk: Examining 'theano.log' Latexmk: Index file 'theano.idx' was written Latexmk: Log file says output to 'theano.pdf' Latexmk: All targets (theano.pdf) are up-to-date make[2]: Leaving directory '/tmp/tmpppe51n5e' rst2html README.rst README.html cat NEWS.txt HISTORY.txt | gzip -n -9 > NEWS.gz make[1]: Leaving directory '/<>' debian/rules override_dh_auto_test make[1]: Entering directory '/<>' PYBUILD_SYSTEM=custom PYBUILD_TEST_ARGS='PYTHONPATH=. {interpreter} theano/tests/run_tests_in_batch.py' dh_auto_test I: pybuild base:239: PYTHONPATH=. python3.10 theano/tests/run_tests_in_batch.py #################### # COLLECTING TESTS # #################### WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): /<>/theano/scan_module/tests/test_scan.py:231: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_pickling(self): /<>/theano/scan_module/tests/test_scan.py:3541: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_outputs_info_not_typed(self): /<>/theano/tensor/signal/tests/test_pool.py:585: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:677: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:705: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/tests/test_complex.py:54: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_complex_grads(self): /<>/theano/tensor/tests/test_complex.py:64: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_mul_mixed0(self): /<>/theano/tensor/tests/test_complex.py:80: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_mul_mixed1(self): /<>/theano/tensor/tests/test_complex.py:96: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_mul_mixed(self): /<>/theano/tensor/tests/test_complex.py:113: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_polar_grads(self): /<>/theano/tensor/tests/test_complex.py:123: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_abs_grad(self): /<>/theano/tensor/tests/test_fourier.py:44: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_gradient(self): /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................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---------------------------------------------------------------------- Ran 6446 tests in 5.835s OK ################################### # RUNNING TESTS IN BATCHES OF 100 # ################################### WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #1 test_compute_test_value (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #11 test_grad_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #14 test_lop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #15 test_nested_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #16 test_nested_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #17 test_rop_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #18 test_rop_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #38 test_check_isfinite_disabled (theano.compile.tests.test_debugmode.Test_check_isfinite) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #39 test_f_contiguous (theano.compile.tests.test_debugmode.Test_preallocated_output) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... ERROR (theano.gof.opt): Optimization failure due to: insert_bad_dtype ERROR (theano.gof.opt): node: Elemwise{add,no_inplace}(, ) ERROR (theano.gof.opt): TRACEBACK: ERROR (theano.gof.opt): Traceback (most recent call last): File "/<>/theano/gof/opt.py", line 2072, in process_node fgraph.replace_all_validate_remove(repl_pairs, File "/<>/theano/gof/toolbox.py", line 569, in replace_all_validate_remove chk = fgraph.replace_all_validate(replacements, reason) File "/<>/theano/gof/toolbox.py", line 518, in replace_all_validate fgraph.replace(r, new_r, reason=reason, verbose=False) File "/<>/theano/gof/fg.py", line 484, in replace raise toolbox.BadOptimization( theano.gof.toolbox.BadOptimization: BadOptimization Error Variable: id 140431554654512 Elemwise{Cast{float32}}.0 Op Elemwise{Cast{float32}}(Elemwise{add,no_inplace}.0) Value Type: Old Value: None New Value: None Reason: insert_bad_dtype. The type of the replacement must be the same. Old Graph: Elemwise{add,no_inplace} [id A] '' | [id B] | [id C] New Graph: Elemwise{Cast{float32}} [id D] '' |Elemwise{add,no_inplace} [id A] '' Hint: relax the tolerance by setting tensor.cmp_sloppy=1 or even tensor.cmp_sloppy=2 for less-strict comparison 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #55 test_in_shared_variable (theano.compile.tests.test_function.TestFunctionIn) ... ok #56 test_in_strict (theano.compile.tests.test_function.TestFunctionIn) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #61 test_borrow_input (theano.compile.tests.test_function_module.T_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #62 test_borrow_output (theano.compile.tests.test_function_module.T_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #63 test_check_for_aliased_inputs (theano.compile.tests.test_function_module.T_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #67 test_copy_share_memory (theano.compile.tests.test_function_module.T_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #91 test_swap_SharedVariable_with_given (theano.compile.tests.test_function_module.T_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 102.252s OK (SKIP=1) 2% done in 103.616s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #105 test_nnet (theano.compile.tests.test_misc.TestNnet) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #113 theano.compile.tests.test_nanguardmode.test_NanGuardMode ... /<>/theano/compile/nanguardmode.py:150: RuntimeWarning: All-NaN slice encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #124 test_partial_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #125 test_potential_output_aliasing_induced_by_updates (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #134 test_default_updates_chained (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #143 test_givens_replaces_shared_variable (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #144 test_givens_replaces_shared_variable2 (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #145 test_no_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #151 test_param_strict (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #152 test_shared (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #153 test_shared_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #154 test_update (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #155 test_update_equiv (theano.compile.tests.test_pfunc.Test_pfunc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #158 test1 (theano.compile.tests.test_pfunc.Test_rebuild_strict) ... ok #159 test_ifelse (theano.compile.tests.test_profiling.Test_profiling) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #164 test_scalar_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... /<>/theano/compile/tests/test_shared.py:237: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations b = shared(np.float(7.234), allow_downcast=True) ok #165 test_scalar_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... /<>/theano/compile/tests/test_shared.py:142: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations b = shared(np.float(7.234), strict=True) 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #200 test_no_c_code (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok ---------------------------------------------------------------------- Ran 100 tests in 76.702s OK (SKIP=1) 0.058164613716645386 0.058164613716645386 0.058164613716645386 0.058164613716645386 4% done in 78.091s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #204 test_scan_err1 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #205 test_scan_err2 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 94.197s OK 6% done in 95.776s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #354 theano.gof.tests.test_vm.test_partial_function ... /<>/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 ... /<>/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 ... /<>/theano/gof/vm.py:889: UserWarning: LoopGC does not support partial evaluation, using Stack VM. warnings.warn( /<>/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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #358 theano.gof.tests.test_vm.test_vm_gc ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #359 theano.gof.tests.test_vm.test_reallocation ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/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) ... /usr/lib/python3.10/unittest/case.py:549: ResourceWarning: unclosed file <_io.BufferedWriter name='my_test.pkl'> method() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #395 theano.sandbox.linalg.tests.test_linalg.test_rop_lop ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 37.207s OK (SKIP=27) 8% done in 38.705s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/scan_module/tests/test_scan.py:231: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_pickling(self): /<>/theano/scan_module/tests/test_scan.py:3541: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_outputs_info_not_typed(self): #401 theano.sandbox.tests.test_multinomial.test_n_samples_2 ... ok #402 theano.sandbox.tests.test_multinomial.test_n_samples_compatibility ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #403 theano.sandbox.tests.test_multinomial.test_multinomial_0 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #404 theano.sandbox.tests.test_multinomial.test_multinomial_large ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/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 ' /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #410 test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... /<>/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 ' /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #420 theano.sandbox.tests.test_rng_mrg.test_broadcastable ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, Shape.0, (500, 50), [], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (), (), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (500, 50), (500, 50), [], [], 1000, 0.01) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, Shape.0, (500, 50), [], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (), (), [], [], 1000, 0.01) ... ok #422 theano.sandbox.tests.test_rng_mrg.test_normal0 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #423 theano.sandbox.tests.test_rng_mrg.test_normal_truncation ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #424 theano.sandbox.tests.test_rng_mrg.test_truncated_normal ... ok #425 theano.sandbox.tests.test_rng_mrg.test_multinomial ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #426 theano.sandbox.tests.test_rng_mrg.test_multinomial_n_samples ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #427 theano.sandbox.tests.test_rng_mrg.test_multiple_rng_aliasing ... ok #428 theano.sandbox.tests.test_rng_mrg.test_random_state_transfer ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #429 theano.sandbox.tests.test_rng_mrg.test_gradient_scan ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #430 theano.sandbox.tests.test_rng_mrg.test_multMatVect ... ok #431 theano.sandbox.tests.test_rng_mrg.test_seed_fn ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #432 theano.sandbox.tests.test_rng_mrg.test_overflow_cpu ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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 ' /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #460 theano.scalar.tests.test_basic.test_grad_switch ... ok #461 theano.scalar.tests.test_basic.test_grad_identity ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #462 theano.scalar.tests.test_basic.test_grad_inrange ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #463 theano.scalar.tests.test_basic.test_grad_abs ... ok #464 theano.scalar.tests.test_basic.test_constant ... ok #465 theano.scalar.tests.test_basic_sympy.test_SymPyCCode ... ok #466 theano.scalar.tests.test_basic_sympy.test_grad ... ok #467 theano.scalar.tests.test_basic_sympy.test_multivar_grad ... ok #468 test_divide_floats (theano.scalar.tests.test_div_future.test_FutureDiv) ... ok #469 test_divide_floats (theano.scalar.tests.test_div_no_future.test_FutureDiv) ... ok #470 test_alloc_inputs1 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #471 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. #472 test_alloc_inputs3 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #473 test_backwards (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #474 test_borrow_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #475 test_bugFunctioProvidesIntermediateNodesAsInputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #476 test_clone (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #477 test_cloning_no_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #478 test_cloning_no_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #479 test_cloning_replace_not_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #480 test_cloning_replace_not_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #481 test_cloning_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #482 test_cloning_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #483 test_computing_gradient (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #484 test_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #485 test_connection_pattern2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #486 test_crash_nonseq_grad (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #487 test_disconnected_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok #488 test_disconnected_gradient2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #489 test_disconnected_gradient3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #490 test_dot_optimization (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #491 test_draw_as_input_to_scan (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #492 test_eliminate_nonseqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #493 test_eliminate_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #494 test_foldl_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #495 test_foldr_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #496 test_generator_one_output_scalar (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #497 test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #498 test_grad_bug_disconnected_input (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #499 test_grad_connectivity_matrix (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #500 test_grad_dtype_change (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 127 tests in 332.757s OK (SKIP=1) 11% done in 334.748s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/scan_module/tests/test_scan.py:231: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_pickling(self): /<>/theano/scan_module/tests/test_scan.py:3541: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_outputs_info_not_typed(self): #501 test_grad_duplicate_outputs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #502 test_grad_duplicate_outputs_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #503 test_grad_find_input (theano.scan_module.tests.test_scan.T_Scan) ... ok #504 test_grad_grad_mitsot_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok #505 test_grad_multiple_outs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #506 test_grad_multiple_outs_some_disconnected (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #507 test_grad_multiple_outs_some_disconnected_2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #508 test_grad_multiple_outs_some_truncate (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #509 test_grad_multiple_outs_some_uncomputable (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #510 test_grad_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars . /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars . /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars . ok #511 test_grad_multiple_outs_taps_backwards (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #512 test_grad_multiple_seqs_different_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... ok #513 test_grad_multiple_taps_state (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #514 test_grad_numeric_shared (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #515 test_grad_of_grad_of_state (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #516 test_grad_of_shared (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #517 test_grad_one_output (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #518 test_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... ok #519 test_hash (theano.scan_module.tests.test_scan.T_Scan) ... ok #520 test_hessian_bug_grad_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars . /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #521 test_infer_shape (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #522 test_infer_shape2 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #523 test_infershape_nsteps_smaller_seq_length (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #524 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 #525 test_inner_storage_leak (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #526 test_inplace1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #527 test_inplace2 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #528 test_inplace3 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #529 test_map (theano.scan_module.tests.test_scan.T_Scan) ... ok #530 test_map_functionality (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #531 test_memory_aliasing_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #532 test_memory_reuse_with_outputs_as_inputs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #533 test_merge (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #534 test_merge_3scans (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #535 test_monitor_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok #536 test_multiple_inputs_multiple_outputs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #537 test_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... ok #538 test_oinp_iinp_iout_oout_mappings (theano.scan_module.tests.test_scan.T_Scan) ... ok #539 test_one_sequence_one_output_weights (theano.scan_module.tests.test_scan.T_Scan) ... ok #540 test_one_sequence_one_output_weights_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #541 test_only_nonseq_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #542 test_only_shared_no_input_no_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #543 test_opt_order (theano.scan_module.tests.test_scan.T_Scan) ... ok #544 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. #545 test_past_future_taps_shared (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #546 test_pickling (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #547 test_pregreedy_optimizer (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #548 test_pushout (theano.scan_module.tests.test_scan.T_Scan) ... ok #549 test_pushout_all (theano.scan_module.tests.test_scan.T_Scan) ... ok #550 test_pushout_dot (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #551 test_pushout_nomodif (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #552 test_pushout_nonseq (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #553 test_pushout_seqs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #554 test_pushout_seqs2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #555 test_pushout_while (theano.scan_module.tests.test_scan.T_Scan) ... ok #556 test_reduce (theano.scan_module.tests.test_scan.T_Scan) ... ok #557 test_reduce_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #558 test_remove_constants_and_unused_inputs_scan_non_seqs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #559 test_remove_constants_and_unused_inputs_scan_seqs (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #560 test_remove_stuff (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #561 test_reordering (theano.scan_module.tests.test_scan.T_Scan) ... ok #562 test_return_steps (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #563 test_rop (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #564 test_rop2 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #565 test_rop_mitmot (theano.scan_module.tests.test_scan.T_Scan) ... ok #566 test_same (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #567 test_save_mem (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #568 test_save_mem_reduced_number_of_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #569 test_save_mem_store_steps (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #570 test_savemem_does_not_duplicate_number_of_scan_nodes (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #571 test_savemem_opt (theano.scan_module.tests.test_scan.T_Scan) ... ok #572 test_savemem_opt_0_step (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #573 test_scan_as_tensor_on_gradients (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #574 test_scan_extra_inputs_hessian (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #575 test_scan_merge_nodes (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #576 test_scan_output_padding (theano.scan_module.tests.test_scan.T_Scan) ... ok #577 test_seq_tap_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok #578 test_sequence_dict (theano.scan_module.tests.test_scan.T_Scan) ... ok #579 test_shared_arguments_with_updates (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #580 test_shared_updates (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #581 test_simple_shared_mrg_random (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #582 test_simple_shared_random (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #583 test_strict_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok #584 test_strict_mode_ex (theano.scan_module.tests.test_scan.T_Scan) ... ok #585 test_subtensor_multiple_slices (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #586 test_use_scan_direct_output (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #587 test_use_scan_direct_output2 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #588 test_using_negative_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #589 test_using_taps_input_output (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #590 test_using_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #591 test_verify_second_grad_mitsot1 (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #592 test_verify_second_grad_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #593 test_while0 (theano.scan_module.tests.test_scan.T_Scan) ... ok #594 test_while1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #595 test_while2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #596 test_while_infershape (theano.scan_module.tests.test_scan.T_Scan) ... ok #597 test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #598 test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #599 test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #600 test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed ---------------------------------------------------------------------- Ran 100 tests in 1000.717s OK (SKIP=6) 13% done in 1004.308s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/scan_module/tests/test_scan.py:231: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_pickling(self): /<>/theano/scan_module/tests/test_scan.py:3541: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_outputs_info_not_typed(self): #601 test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #602 test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #603 test_grad_until (theano.scan_module.tests.test_scan.TestGradUntil) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #604 test_grad_until_and_truncate (theano.scan_module.tests.test_scan.TestGradUntil) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #605 test_grad_until_and_truncate_sequence_taps (theano.scan_module.tests.test_scan.TestGradUntil) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #606 test_grad_until_ndim_greater_one (theano.scan_module.tests.test_scan.TestGradUntil) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #607 test_raise_error (theano.scan_module.tests.test_scan.TestInconsistentBroadcast) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #608 test_raise_error (theano.scan_module.tests.test_scan.TestMissingInputError) ... ok #609 theano.scan_module.tests.test_scan.test_speed ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #610 theano.scan_module.tests.test_scan.test_speed_rnn ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #611 theano.scan_module.tests.test_scan.test_speed_batchrnn ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #612 theano.scan_module.tests.test_scan.test_compute_test_value ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #613 theano.scan_module.tests.test_scan.test_compute_test_value_nonseq ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #614 theano.scan_module.tests.test_scan.test_compute_test_value_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #615 theano.scan_module.tests.test_scan.test_compute_test_value_grad_cast ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #616 theano.scan_module.tests.test_scan.test_constant_folding_n_steps ... ok #617 theano.scan_module.tests.test_scan.test_outputs_taps_check ... ok #618 theano.scan_module.tests.test_scan.test_default_value_broadcasted ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #619 theano.scan_module.tests.test_scan.test_condition_hidden_inp ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #620 theano.scan_module.tests.test_scan.test_mintap_onestep ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #621 test_backward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #622 test_forward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #623 test_memory (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... SKIP: Requires pygpu. #624 test_taps_error (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #625 test_batch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #626 test_nobatch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #627 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_nitsot_output ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #628 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_not_output ... ok #629 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_sitsot_output ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #630 theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_machine_translation ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #631 theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_non_zero_init ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #632 test_leaf (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #633 test_leaf_inside_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #634 test_opfromgraph (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #635 test_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #636 test_scan_with_shared_update (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #637 test_scan_with_shared_update2 (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #638 theano.scan_module.tests.test_scan_utils.test_equal_compuations ... ok #639 test_convolution (theano.sparse.sandbox.test_sp.TestSP) ... /usr/lib/python3/dist-packages/scipy/sparse/_sputils.py:214: DeprecationWarning: Inexact indices into sparse matrices are deprecated warnings.warn("Inexact indices into sparse matrices are deprecated", /usr/lib/python3/dist-packages/scipy/sparse/_sputils.py:214: DeprecationWarning: Inexact indices into sparse matrices are deprecated warnings.warn("Inexact indices into sparse matrices are deprecated", /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #640 test_maxpool (theano.sparse.sandbox.test_sp.TestSP) ... /usr/lib/python3/dist-packages/scipy/sparse/_sputils.py:214: DeprecationWarning: Inexact indices into sparse matrices are deprecated warnings.warn("Inexact indices into sparse matrices are deprecated", /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/scipy/sparse/_sputils.py:214: DeprecationWarning: Inexact indices into sparse matrices are deprecated warnings.warn("Inexact indices into sparse matrices are deprecated", /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #641 test_multilayer_conv (theano.sparse.sandbox.test_sp.TestSP) ... ok #642 test_grad (theano.sparse.tests.test_basic.AddSSDataTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #643 test_infer_shape (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #644 test_op (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #645 test_grad (theano.sparse.tests.test_basic.ArcsinTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) ok #646 test_op (theano.sparse.tests.test_basic.ArcsinTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #647 test_grad (theano.sparse.tests.test_basic.ArcsinhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) ok #648 test_op (theano.sparse.tests.test_basic.ArcsinhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #649 test_grad (theano.sparse.tests.test_basic.ArctanTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) ok #650 test_op (theano.sparse.tests.test_basic.ArctanTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #651 test_grad (theano.sparse.tests.test_basic.ArctanhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) ok #652 test_op (theano.sparse.tests.test_basic.ArctanhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #653 test_cast (theano.sparse.tests.test_basic.CastTester) ... /usr/lib/python3/dist-packages/scipy/sparse/_data.py:72: ComplexWarning: Casting complex values to real discards the imaginary part self._deduped_data().astype(dtype, casting=casting, copy=copy), /<>/theano/sparse/tests/test_basic.py:2438: ComplexWarning: Casting complex values to real discards the imaginary part expected = data.toarray().astype(o_dtype) ok #654 test_grad (theano.sparse.tests.test_basic.CastTester) ... ok #655 test_infer_shape (theano.sparse.tests.test_basic.CastTester) ... ok #656 test_op (theano.sparse.tests.test_basic.CeilTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #657 test_grad (theano.sparse.tests.test_basic.CleanTester) ... ok #658 test_op (theano.sparse.tests.test_basic.CleanTester) ... /usr/lib/python3/dist-packages/scipy/sparse/_index.py:103: 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:103: 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 #659 test_grad (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #660 test_infer_shape (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #661 test_op (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #662 test_op (theano.sparse.tests.test_basic.ConjTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #663 test_grad (theano.sparse.tests.test_basic.Deg2radTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3108: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(np.pi / 180, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3108: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(np.pi / 180, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3108: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(np.pi / 180, gz.type), ok #664 test_op (theano.sparse.tests.test_basic.Deg2radTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #665 test_grad (theano.sparse.tests.test_basic.DiagTester) ... ok #666 test_infer_shape (theano.sparse.tests.test_basic.DiagTester) ... ok #667 test_op (theano.sparse.tests.test_basic.DiagTester) ... ok #668 test_csc_dense (theano.sparse.tests.test_basic.DotTests) ... ok #669 test_csr_dense (theano.sparse.tests.test_basic.DotTests) ... ok #670 test_csr_dense_grad (theano.sparse.tests.test_basic.DotTests) ... ok #671 test_int32_dtype (theano.sparse.tests.test_basic.DotTests) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #672 test_sparse_sparse (theano.sparse.tests.test_basic.DotTests) ... ok #673 test_grad (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #674 test_infer_shape (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #675 test_op (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #676 test_grad (theano.sparse.tests.test_basic.Expm1Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #677 test_op (theano.sparse.tests.test_basic.Expm1Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #678 test_op (theano.sparse.tests.test_basic.FloorTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #679 test_grad (theano.sparse.tests.test_basic.HStackTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #680 test_infer_shape (theano.sparse.tests.test_basic.HStackTester) ... ok #681 test_op (theano.sparse.tests.test_basic.HStackTester) ... ok #682 test_grad (theano.sparse.tests.test_basic.Log1pTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #683 test_op (theano.sparse.tests.test_basic.Log1pTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #684 test_mul_s_v (theano.sparse.tests.test_basic.MulSVTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #685 test_mul_s_v_grad (theano.sparse.tests.test_basic.MulSVTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #686 test_grad (theano.sparse.tests.test_basic.Rad2degTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3141: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(180. / np.pi, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3141: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(180. / np.pi, gz.type), ok #687 test_op (theano.sparse.tests.test_basic.Rad2degTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #688 test_grad (theano.sparse.tests.test_basic.Remove0Tester) ... ok #689 test_infer_shape (theano.sparse.tests.test_basic.Remove0Tester) ... ok #690 test_remove0 (theano.sparse.tests.test_basic.Remove0Tester) ... ok #691 test_op (theano.sparse.tests.test_basic.RintTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #692 test_grad (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #693 test_infer_shape (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #694 test_op (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #695 test_grad (theano.sparse.tests.test_basic.SamplingDotTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #696 test_infer_shape (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #697 test_negative_stride (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #698 test_op (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #699 test_op (theano.sparse.tests.test_basic.SgnTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #700 test_grad (theano.sparse.tests.test_basic.SinTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 100 tests in 361.005s OK (SKIP=3) 15% done in 364.208s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #701 test_op (theano.sparse.tests.test_basic.SinTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #702 test_grad (theano.sparse.tests.test_basic.SinhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #703 test_op (theano.sparse.tests.test_basic.SinhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #704 test_grad (theano.sparse.tests.test_basic.SpSumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #705 test_infer_shape (theano.sparse.tests.test_basic.SpSumTester) ... ok #706 test_op (theano.sparse.tests.test_basic.SpSumTester) ... ok #707 test_add_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #708 test_add_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #709 test_csm (theano.sparse.tests.test_basic.SparseInferShapeTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #710 test_csm_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #711 test_dense_from_sparse (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #712 test_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #713 test_dot_broadcast (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #714 test_getitem_2d (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for GetItem2d yet #715 test_getitem_scalar (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #716 test_mul_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #717 test_mul_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #718 test_neg (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #719 test_remove0 (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #720 test_sparse_from_dense (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #721 test_sparse_from_list (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #722 test_structured_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #723 test_structured_dot_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for the grad of structured_dot #724 test_transpose (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #725 test_grad (theano.sparse.tests.test_basic.SqrTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #726 test_op (theano.sparse.tests.test_basic.SqrTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #727 test_grad (theano.sparse.tests.test_basic.SqrtTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #728 test_op (theano.sparse.tests.test_basic.SqrtTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #729 test_grad (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #730 test_infer_shape (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #731 test_op (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #732 test_structured_add_s_v (theano.sparse.tests.test_basic.StructuredAddSVTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #733 test_structured_add_s_v_grad (theano.sparse.tests.test_basic.StructuredAddSVTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #734 test_grad (theano.sparse.tests.test_basic.StructuredAddTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #735 test_op (theano.sparse.tests.test_basic.StructuredAddTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #736 test_grad (theano.sparse.tests.test_basic.StructuredExpTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #737 test_op (theano.sparse.tests.test_basic.StructuredExpTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #738 test_grad (theano.sparse.tests.test_basic.StructuredLogTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #739 test_op (theano.sparse.tests.test_basic.StructuredLogTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #740 test_grad (theano.sparse.tests.test_basic.StructuredMaximumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #741 test_op (theano.sparse.tests.test_basic.StructuredMaximumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #742 test_grad (theano.sparse.tests.test_basic.StructuredMinimumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #743 test_op (theano.sparse.tests.test_basic.StructuredMinimumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #744 test_grad (theano.sparse.tests.test_basic.StructuredPowTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #745 test_op (theano.sparse.tests.test_basic.StructuredPowTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #746 test_grad (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #747 test_op (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok #748 testAddDS (theano.sparse.tests.test_basic.T_AddMul) ... /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #749 testAddSD (theano.sparse.tests.test_basic.T_AddMul) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #750 testAddSS (theano.sparse.tests.test_basic.T_AddMul) ... ok #751 testMulDS (theano.sparse.tests.test_basic.T_AddMul) ... ok #752 testMulSD (theano.sparse.tests.test_basic.T_AddMul) ... ok #753 testMulSS (theano.sparse.tests.test_basic.T_AddMul) ... ok #754 test_dense_from_sparse (theano.sparse.tests.test_basic.T_conversion) ... ok #755 test_format_ndim (theano.sparse.tests.test_basic.T_conversion) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #756 test_todense (theano.sparse.tests.test_basic.T_conversion) ... ok #757 test_transpose_csc (theano.sparse.tests.test_basic.T_transpose) ... ok #758 test_transpose_csr (theano.sparse.tests.test_basic.T_transpose) ... ok #759 test_grad_fail (theano.sparse.tests.test_basic.T_verify_grad_sparse) ... ok #760 test_grad (theano.sparse.tests.test_basic.TanTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #761 test_op (theano.sparse.tests.test_basic.TanTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #762 test_grad (theano.sparse.tests.test_basic.TanhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #763 test_op (theano.sparse.tests.test_basic.TanhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #764 test_adv_sub1_sparse_grad (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #765 test_err (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok #766 test_GetItem2D (theano.sparse.tests.test_basic.Test_getitem) ... SKIP: Slicing with step is supported. #767 test_GetItem2Lists (theano.sparse.tests.test_basic.Test_getitem) ... ok #768 test_GetItem2Lists_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok #769 test_GetItemList (theano.sparse.tests.test_basic.Test_getitem) ... ok #770 test_GetItemList_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok #771 test_GetItemScalar (theano.sparse.tests.test_basic.Test_getitem) ... ok #772 test_get_item_2lists_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3/dist-packages/scipy/sparse/_index.py:103: 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 #773 test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3/dist-packages/scipy/sparse/_index.py:137: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. self._set_arrayXarray_sparse(i, j, x) ok #774 test_grad (theano.sparse.tests.test_basic.TrueDotTester) ... ok #775 test_infer_shape (theano.sparse.tests.test_basic.TrueDotTester) ... ok #776 test_op_sd (theano.sparse.tests.test_basic.TrueDotTester) ... ok #777 test_op_ss (theano.sparse.tests.test_basic.TrueDotTester) ... ok #778 test_op (theano.sparse.tests.test_basic.TruncTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #779 test (theano.sparse.tests.test_basic.UsmmTests) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #780 test_infer_shape (theano.sparse.tests.test_basic.UsmmTests) ... ok #781 test_grad (theano.sparse.tests.test_basic.VStackTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #782 test_infer_shape (theano.sparse.tests.test_basic.VStackTester) ... ok #783 test_op (theano.sparse.tests.test_basic.VStackTester) ... ok #784 test_ds_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #785 test_ds_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #786 test_equality_case (theano.sparse.tests.test_basic.test_comparison) ... ok #787 test_sd_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #788 test_sd_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #789 test_ss_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... /usr/lib/python3/dist-packages/scipy/sparse/_compressed.py:311: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. warn("Comparing sparse matrices using >= and <= is inefficient, " ok #790 test_ss_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #791 test_csm (theano.sparse.tests.test_basic.test_csm) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #792 test_csm_grad (theano.sparse.tests.test_basic.test_csm) ... ok #793 test_csm_sparser (theano.sparse.tests.test_basic.test_csm) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #794 test_csm_unsorted (theano.sparse.tests.test_basic.test_csm) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #795 test_csm_properties (theano.sparse.tests.test_basic.test_csm_properties) ... ok #796 test_csm_properties_grad (theano.sparse.tests.test_basic.test_csm_properties) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #797 test_get_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #798 test_inplace_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #799 test_return_internal_type (theano.sparse.tests.test_basic.test_shared_options) ... ok #800 test_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok ---------------------------------------------------------------------- Ran 100 tests in 280.667s OK (SKIP=3) 17% done in 283.940s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #801 test_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok #802 test_shape_i (theano.sparse.tests.test_basic.test_shared_options) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #803 test_shared_do_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok #804 test_shared_dont_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok #805 test_specify_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok #806 test_specify_shape_inplace (theano.sparse.tests.test_basic.test_shared_options) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #807 test_specify_shape_partial (theano.sparse.tests.test_basic.test_shared_options) ... ok #808 test_values_eq (theano.sparse.tests.test_basic.test_shared_options) ... /usr/lib/python3/dist-packages/scipy/sparse/_index.py:103: 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 #809 test_csc_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok #810 test_csr_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok #811 test_dot_sparse_sparse (theano.sparse.tests.test_basic.test_structureddot) ... ok #812 test_opt_unpack (theano.sparse.tests.test_basic.test_structureddot) ... ok #813 test_structureddot_csc_grad (theano.sparse.tests.test_basic.test_structureddot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #814 test_structureddot_csr_grad (theano.sparse.tests.test_basic.test_structureddot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #815 test_upcast (theano.sparse.tests.test_basic.test_structureddot) ... ok #816 test (theano.sparse.tests.test_basic.test_zeros_like) ... ok #817 theano.sparse.tests.test_basic.test_shape_i ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #818 theano.sparse.tests.test_basic.test_shape ... ok #819 theano.sparse.tests.test_basic.test_may_share_memory ... ok #820 theano.sparse.tests.test_basic.test_sparse_shared_memory ... ok #821 theano.sparse.tests.test_basic.test_size ... /usr/lib/python3/dist-packages/scipy/sparse/_index.py:103: 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:103: 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 #822 theano.sparse.tests.test_basic.test_hstack_vstack ... ok #823 theano.sparse.tests.test_opt.test_local_csm_properties_csm ... ok #824 theano.sparse.tests.test_opt.test_local_csm_grad_c ... SKIP: Opt disabled as it don't support unsorted indices #825 theano.sparse.tests.test_opt.test_local_mul_s_d ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #826 theano.sparse.tests.test_opt.test_local_mul_s_v ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #827 theano.sparse.tests.test_opt.test_local_structured_add_s_v ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #828 theano.sparse.tests.test_opt.test_local_sampling_dot_csr ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #829 theano.sparse.tests.test_opt.test_local_dense_from_sparse_sparse_from_dense ... ok #830 theano.sparse.tests.test_opt.test_sd_csc ... ok #831 test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #832 test_op (theano.sparse.tests.test_sp2.BinomialTester) ... ok #833 test_infer_shape (theano.sparse.tests.test_sp2.MultinomialTester) ... ok #834 test_op (theano.sparse.tests.test_sp2.MultinomialTester) ... ok #835 test_infer_shape (theano.sparse.tests.test_sp2.PoissonTester) ... ok #836 test_op (theano.sparse.tests.test_sp2.PoissonTester) ... ok #837 theano.sparse.tests.test_type.test_sparse_type ... ok #838 theano.sparse.tests.test_utils.test_hash_from_sparse ... ok #839 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... SKIP: CorrMM needs cxx #840 test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... SKIP: CorrMM needs cxx #841 test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... SKIP: CorrMM needs cxx #842 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... SKIP: CorrMM needs cxx and SciPy #843 test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... SKIP: CorrMM needs cxx and SciPy #844 test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... SKIP: CorrMM needs cxx and SciPy #845 test_interface2d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #846 test_interface3d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok SKIP: SciPy needed #850 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertConvShape) ... ok #851 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #852 test_shape_check_conv2d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #853 test_shape_check_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #854 test_shape_check_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #855 test_shape_check_conv3d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #856 test_shape_check_conv3d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #857 test_shape_check_conv3d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #858 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... SKIP: SciPy and cxx needed #859 test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... SKIP: test needs cxx and SciPy #860 test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... SKIP: SciPy and cxx needed #861 test_bilinear_kernel_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #862 test_bilinear_kernel_2D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #863 test_bilinear_upsampling_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #864 test_bilinear_upsampling_reshaping (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #865 test_compare_1D_and_2D_upsampling_values (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #866 Test bilinear upsampling with nonsimilar fractional ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #867 test_fractional_bilinear_upsampling_shape (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #868 test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestCausalConv) ... SKIP: SciPy and cxx needed #869 test_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #870 test_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok #871 test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dTranspose) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #872 test_check_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok #873 test_get_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok #874 test_constant_input (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok #875 test_grad_types (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok #876 theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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)) ... /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback 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)) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 #877 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 #878 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 #879 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) ... /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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)) ... /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback 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)) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 #880 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 #881 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 #882 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok #883 test_basic_3d (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok #884 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... SKIP: CorrMM needs cxx or SciPy #885 test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... SKIP: CorrMM needs cxx or SciPy #886 test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... SKIP: CorrMM needs cxx or SciPy #887 theano.tensor.nnet.tests.test_abstract_conv.test_constant_shapes ... ok #888 test_dot_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/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] /<>/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( /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #889 test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/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] /<>/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 #890 test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/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) /<>/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 #891 test_sparseblockdot (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #892 test_sparseblockgemv (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #893 test_sparseblockgemvF (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #894 test_sparseblockgemv_grad (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #895 test_sparseblockgemv_grad_1 (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #896 test_sparseblockgemv_grad_shape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/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] /<>/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 #897 test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /<>/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) /<>/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 #898 theano.tensor.nnet.tests.test_bn.test_BNComposite ... ok #899 theano.tensor.nnet.tests.test_bn.test_batch_normalization ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #900 theano.tensor.nnet.tests.test_bn.test_bn_feature_maps ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 957 tests in 577.322s OK (SKIP=15) 20% done in 580.569s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #901 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #902 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_grad_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #903 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_without_running_averages ... ok #904 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_broadcast ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #905 theano.tensor.nnet.tests.test_bn.test_batch_normalization_test ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #906 theano.tensor.nnet.tests.test_bn.test_batch_normalization_broadcastable ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #907 test_basic (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #908 test_basic1 (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_full_mode (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_gcc_crash (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #911 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #912 test_infer_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #913 test_invalid_filter_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_invalid_input_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_missing_info (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #916 test_shape_Constant_tensor (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_subsample (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #918 test_uint_filter_shape_datatype (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_uint_image_shape_datatype (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_batch (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_batch_kern (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_batch_kern_fail (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #923 test_unroll_kern (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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_patch_false (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #925 test_unroll_patch_true (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #926 test_unroll_patch_true_fail (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #927 test_unroll_special (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #928 test_wrong_info (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #929 test_wrong_input (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #930 theano.tensor.nnet.tests.test_conv.test_broadcast_grad ... ok #931 theano.tensor.nnet.tests.test_conv3d2d.test_get_diagonal_subtensor_view ... ok #932 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_full ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #933 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_half ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #934 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_valid ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #935 test_fwd (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... SKIP: CorrMM needs cxx and SciPy #936 test_gradinputs (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... SKIP: CorrMM needs cxx and SciPy #937 test_gradweights (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... SKIP: CorrMM needs cxx and SciPy #938 test_fwd (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... SKIP: SciPy and cxx needed #939 test_gradinput (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... SKIP: test needs cxx and SciPy #940 test_gradweight (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... SKIP: SciPy and cxx needed #941 test_fwd (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... SKIP: SciPy and cxx needed #942 test_gradinput (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... SKIP: test needs cxx and SciPy #943 test_gradweight (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... SKIP: SciPy and cxx needed #944 test_interface (theano.tensor.nnet.tests.test_corr.TestCausalConv) ... SKIP: SciPy and cxx needed #945 test_interface (theano.tensor.nnet.tests.test_corr.TestCausalCorr) ... SKIP: SciPy and cxx needed #946 test_basic (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #947 test_dtype_upcast (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... /<>/theano/tensor/nnet/tests/test_corr.py:283: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/tests/test_corr.py:283: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr.py:283: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr.py:283: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr.py:283: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr.py:283: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) ok #948 test_filter_dilation (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #949 test_full_mode (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #950 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #951 test_infer_shape_forward (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #952 test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... /<>/theano/tensor/nnet/corr.py:243: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #953 test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #954 test_invalid_filter_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #955 test_non_contiguous (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #956 test_shape_Constant_tensor (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #957 test_subsample (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #958 test_wrong_input (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #959 test_fwd (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... SKIP: CorrMM needs cxx and SciPy #960 test_gradinputs (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... SKIP: CorrMM needs cxx and SciPy #961 test_gradweights (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... SKIP: CorrMM needs cxx and SciPy #962 test_graph (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... SKIP: CorrMM needs cxx and SciPy #963 test_fwd (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... SKIP: CorrMM needs cxx or SciPy #964 test_gradinput (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... SKIP: CorrMM needs cxx or SciPy #965 test_gradweight (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... SKIP: CorrMM needs cxx or SciPy #966 test_fwd (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... SKIP: CorrMM needs cxx or SciPy #967 test_gradinput (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... SKIP: CorrMM needs cxx or SciPy #968 test_gradweight (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... SKIP: CorrMM needs cxx or SciPy #969 test_fwd (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... SKIP: CorrMM needs cxx #970 test_gradinputs (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... SKIP: CorrMM needs cxx #971 test_gradweights (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... SKIP: CorrMM needs cxx #972 test_basic (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #973 test_dtype_upcast (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/nnet/tests/test_corr3d.py:292: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/tests/test_corr3d.py:292: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr3d.py:292: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr3d.py:292: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr3d.py:292: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/tests/test_corr3d.py:292: DeprecationWarning: Please use assertEqual instead. assert_equals(f(a_tens_val, b_tens_val).dtype, c_dtype) ok #974 test_filter_dilation_00 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #975 test_filter_dilation_01 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #976 test_filter_dilation_02 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #977 test_filter_dilation_03 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #978 test_filter_dilation_04 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #979 test_filter_dilation_05 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #980 test_filter_dilation_06 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #981 test_filter_dilation_07 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #982 test_filter_dilation_08 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #983 test_filter_dilation_09 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #984 test_filter_dilation_10 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #985 test_filter_dilation_11 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #986 test_filter_dilation_12 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #987 test_filter_dilation_subsample (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #988 test_full_mode (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #989 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #990 test_infer_shape_forward (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #991 test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #992 test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #993 test_invalid_filter_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #994 test_non_contiguous (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #995 test_shape_Constant_tensor_0_valid (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #996 test_shape_Constant_tensor_1_full (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #997 test_shape_Constant_tensor_2_half (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #998 test_shape_Constant_tensor_3 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #999 test_shape_Constant_tensor_4 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1000 test_shape_Constant_tensor_5 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok ---------------------------------------------------------------------- Ran 100 tests in 1318.184s OK (SKIP=24) 22% done in 1321.815s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #1001 test_shape_Constant_tensor_6 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1002 test_shape_Constant_tensor_7 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback ok #1003 test_shape_Constant_tensor_8 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1004 test_subsample (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/corr3d.py:228: ResourceWarning: unclosed file <_io.TextIOWrapper name='/<>/theano/tensor/nnet/c_code/corr3d_gemm.c' mode='r' encoding='UTF-8'> codes = [open(os.path.join(os.path.split(__file__)[0], f)).read() ResourceWarning: Enable tracemalloc to get the object allocation traceback /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1005 test_wrong_input (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1006 test_fwd (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... SKIP: CorrMM needs cxx #1007 test_gradinputs (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... SKIP: CorrMM needs cxx #1008 test_gradweights (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... SKIP: CorrMM needs cxx #1009 test_ctc (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1010 test_torch_case (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1011 test_verify_grad (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1012 test_can_not_infer_nb_dim (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1013 test_grad_full (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1014 test_grad_half (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1015 test_grad_ignore_border (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1016 test_grad_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1017 test_grad_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #1018 test_infer_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1019 test_neibs (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1020 test_neibs2images_grad (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1021 test_neibs_bad_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1022 test_neibs_bad_shape_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #1023 test_neibs_full_step_by_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1024 test_neibs_full_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1025 test_neibs_half_step_by_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1026 test_neibs_half_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1027 test_neibs_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1028 test_neibs_manual_step (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1029 test_neibs_valid_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1030 test_neibs_wrap_centered_step_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #1031 test_bad_build (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1032 test_bad_runtime (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1033 test_good (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1034 test_grad (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1035 test_grad_none (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1036 test_crossentropy_softmax_1hot_with_bias_dxcale_cost (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1037 test_get_rid_of_advanced_indexing_version_of_xent (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1038 test_grad (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1039 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1040 test_optimize_xent_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/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])), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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 #1041 test_optimize_xent_vector2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/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])), /<>/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])), /<>/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]), /<>/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 #1042 test_optimize_xent_vector3 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/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])), /<>/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])), /<>/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]), /<>/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 #1043 test_optimize_xent_vector4 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/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])), /<>/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])), /<>/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]), /<>/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])] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1044 test_softmax_grad_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/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 #1045 test_softmax_grad_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /usr/lib/python3.10/unittest/case.py:549: 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 #1046 test_softmax_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1047 test_softmax_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1048 test_softmax_optimizations_w_bias (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1049 test_softmax_optimizations_w_bias2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1050 test_softmax_optimizations_w_bias_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1051 test_xent_thing_int32 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1052 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1HotGrad) ... ok #1053 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1054 test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1055 test_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1056 test_vectors (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1057 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1058 test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1059 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1060 test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1061 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1062 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1063 test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1064 test0 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1065 test1 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1066 test2 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1067 test3 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1068 test_allclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1069 test_isclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1070 test_local_softmax_grad_optimization_and_big_input (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1071 test_local_softmax_optimization (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1072 test_logsoftmax_grad_true_div_elemwise (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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 #1073 test_matrix (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1074 test_vector (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /usr/lib/python3.10/unittest/case.py:549: 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 #1075 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /<>/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 #1076 test0 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1077 test1 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1078 test2 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1079 test3 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1080 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1081 test_vector (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /usr/lib/python3.10/unittest/case.py:549: 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 #1082 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /<>/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 #1083 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxGrad) ... ok #1084 test0 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1085 test1 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1086 test2 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1087 test3 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1088 test_broadcast (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1089 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1090 test_softmax_with_bias_trace (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... /<>/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 #1091 test0 (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok #1092 basic functionality ... ok #1093 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_prepend) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1094 test_elemwise (theano.tensor.nnet.tests.test_nnet.T_sigmoid) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1095 test_grad (theano.tensor.nnet.tests.test_nnet.T_sigmoid_binary_crossentropy) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1096 test_matches_binary_crossentropy (theano.tensor.nnet.tests.test_nnet.T_sigmoid_binary_crossentropy) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1097 test_elemwise (theano.tensor.nnet.tests.test_nnet.T_softplus) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1098 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_1d_basic ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars SKIP: Optimization not enabled for the moment #1099 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic ... ok #1100 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic_keepdims ... ok ---------------------------------------------------------------------- Ran 100 tests in 171.504s OK (SKIP=7) 24% done in 175.289s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): /<>/theano/tensor/signal/tests/test_pool.py:585: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:677: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:705: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, #1101 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars SKIP: Optimization not enabled for the moment #1102 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_transpose_basic ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars SKIP: Optimization not enabled for the moment #1103 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown ... /<>/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 #1104 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown_bias ... ok #1105 theano.tensor.nnet.tests.test_nnet.test_asymptotic_32 ... ok #1106 theano.tensor.nnet.tests.test_nnet.test_softmax_graph ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1107 theano.tensor.nnet.tests.test_nnet.test_grad_softmax_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1108 theano.tensor.nnet.tests.test_nnet.test_stabilize_log_softmax ... ok #1109 theano.tensor.nnet.tests.test_nnet.test_relu ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1110 theano.tensor.nnet.tests.test_nnet.test_h_softmax ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1111 theano.tensor.nnet.tests.test_nnet.test_elu ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1112 theano.tensor.nnet.tests.test_nnet.test_selu ... ok #1113 theano.tensor.nnet.tests.test_nnet.test_binary_crossentropy_reshape ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1114 theano.tensor.nnet.tests.test_nnet.test_confusion_matrix ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/nnet/tests/test_nnet.py:1804: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. colA = np.matrix(actual).T /<>/theano/tensor/nnet/tests/test_nnet.py:1805: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. colP = np.matrix(pred).T ok #1115 theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_gemv_opt ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1116 theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_outer_opt ... ok #1117 test_bad_build (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1118 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1119 test_good (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1120 test_grad (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1121 test_grad_none (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1122 test_bad_build (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1123 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1124 test_good (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1125 test_grad (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1126 test_grad_none (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1127 test_bad_build (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1128 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1129 test_good (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1130 test_grad (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1131 test_grad_none (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1132 test_elemwise (theano.tensor.nnet.tests.test_sigm.T_sigmoid) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1133 test_1msigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1134 test_exp_over_1_plus_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1135 test_grad_log1msigm (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1136 test_local_hard_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1137 test_local_sigm_times_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1138 test_local_ultra_fast_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1139 test_perform_sigm_times_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1140 test_compute_mul (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1141 test_is_1pexp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1142 test_parse_mul_tree (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1143 test_elemwise (theano.tensor.nnet.tests.test_sigm.T_softplus) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1144 test_log1msigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1145 test_log1pexp_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1146 test_logsigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1147 test_bad_build (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1148 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1149 test_good (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1150 test_grad (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1151 test_grad_none (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1152 test_basic (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1153 test_bug_josh_reported (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1154 test_fail (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1155 test_AveragePoolGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1156 test_AveragePoolGrad_grad_stride__1_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1157 test_AveragePoolGrad_grad_stride__1_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1158 test_AveragePoolGrad_grad_stride__1_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1159 test_AveragePoolGrad_grad_stride__1_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1160 test_AveragePoolGrad_grad_stride__1_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1161 test_AveragePoolGrad_grad_stride__1_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1162 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1163 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1164 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1165 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1166 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1167 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1168 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1169 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1170 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1171 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1172 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1173 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1174 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1175 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1176 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1177 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1178 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1179 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1180 test_AveragePoolGrad_grad_stride__1_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1181 test_AveragePoolGrad_grad_stride__1_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1182 test_AveragePoolGrad_grad_stride__1_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1183 test_AveragePoolGrad_grad_stride__1_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1184 test_AveragePoolGrad_grad_stride__1_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1185 test_AveragePoolGrad_grad_stride__1_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1186 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1187 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1188 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1189 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1190 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1191 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1192 test_AveragePoolGrad_grad_stride__2_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1193 test_AveragePoolGrad_grad_stride__2_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1194 test_AveragePoolGrad_grad_stride__2_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1195 test_AveragePoolGrad_grad_stride__2_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1196 test_AveragePoolGrad_grad_stride__2_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1197 test_AveragePoolGrad_grad_stride__2_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1198 test_AveragePoolGrad_grad_stride__2_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1199 test_AveragePoolGrad_grad_stride__2_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1200 test_AveragePoolGrad_grad_stride__2_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 179.729s OK (SKIP=2) 26% done in 183.415s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/signal/tests/test_pool.py:585: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:677: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:705: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, #1201 test_AveragePoolGrad_grad_stride__2_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1202 test_AveragePoolGrad_grad_stride__2_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1203 test_AveragePoolGrad_grad_stride__2_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1204 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1205 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1206 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1207 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1208 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1209 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1210 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1211 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1212 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1213 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1214 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1215 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1216 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1217 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1218 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1219 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1220 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1221 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1222 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1223 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1224 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1225 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1226 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1227 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1228 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1229 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1230 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1231 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1232 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1233 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1234 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1235 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1236 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1237 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1238 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 #1239 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1240 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1241 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1242 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1243 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1244 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 #1245 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1246 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1247 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1248 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1249 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1250 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 #1251 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1252 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1253 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1254 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1255 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1256 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1257 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1258 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1259 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1260 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1261 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1262 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1263 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1264 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1265 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1266 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1267 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1268 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1269 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1270 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1271 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1272 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1273 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1274 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1275 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1276 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1277 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1278 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1279 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1280 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1281 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1282 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1283 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1284 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1285 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1286 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1287 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1288 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1289 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1290 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1291 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1292 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1293 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1294 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1295 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1296 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1297 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1298 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1299 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1300 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 38.822s OK 28% done in 42.092s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/signal/tests/test_pool.py:585: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:677: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:705: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, #1301 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1302 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1303 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1304 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1305 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1306 test_AveragePoolPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1307 test_DownsampleFactorMax (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1308 test_DownsampleFactorMaxGradGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1309 test_DownsampleFactorMaxGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1310 test_DownsampleFactorMaxGrad_grad_stride__1_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1311 test_DownsampleFactorMaxGrad_grad_stride__1_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1312 test_DownsampleFactorMaxGrad_grad_stride__1_1_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1313 test_DownsampleFactorMaxGrad_grad_stride__1_1_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1314 test_DownsampleFactorMaxGrad_grad_stride__1_1_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1315 test_DownsampleFactorMaxGrad_grad_stride__1_1_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1316 test_DownsampleFactorMaxGrad_grad_stride__1_1_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1317 test_DownsampleFactorMaxGrad_grad_stride__1_1_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1318 test_DownsampleFactorMaxGrad_grad_stride__1_3_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1319 test_DownsampleFactorMaxGrad_grad_stride__1_3_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1320 test_DownsampleFactorMaxGrad_grad_stride__1_5_1_2_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1321 test_DownsampleFactorMaxGrad_grad_stride__1_5_1_2_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1322 test_DownsampleFactorMaxGrad_grad_stride__2_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1323 test_DownsampleFactorMaxGrad_grad_stride__2_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1324 test_DownsampleFactorMaxGrad_grad_stride__2_3_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1325 test_DownsampleFactorMaxGrad_grad_stride__2_3_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1326 test_DownsampleFactorMaxGrad_grad_stride__2_5_1_2_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1327 test_DownsampleFactorMaxGrad_grad_stride__2_5_1_2_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1328 test_DownsampleFactorMaxGrad_grad_stride__3_2_2_3_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1329 test_DownsampleFactorMaxGrad_grad_stride__3_2_2_3_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1330 test_DownsampleFactorMaxGrad_grad_stride__3_3_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1331 test_DownsampleFactorMaxGrad_grad_stride__3_3_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1332 test_DownsampleFactorMaxGrad_grad_stride__3_3_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1333 test_DownsampleFactorMaxGrad_grad_stride__3_3_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1334 test_DownsampleFactorMaxGrad_grad_stride__3_3_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1335 test_DownsampleFactorMaxGrad_grad_stride__3_3_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1336 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_1_1_1_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1337 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_1_1_1_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1338 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1339 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1340 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1341 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1342 test_DownsampleFactorMaxGrad_grad_stride__5_3_10_6_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1343 test_DownsampleFactorMaxGrad_grad_stride__5_3_10_6_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1344 test_DownsampleFactorMaxGrad_grad_stride__5_3_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1345 test_DownsampleFactorMaxGrad_grad_stride__5_3_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1346 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_2_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1347 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_2_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1348 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1349 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1350 test_DownsampleFactorMaxGrad_grad_stride__5_3_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1351 test_DownsampleFactorMaxGrad_grad_stride__5_3_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1352 test_DownsampleFactorMaxGrad_grad_stride__5_3_7_5_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1353 test_DownsampleFactorMaxGrad_grad_stride__5_3_7_5_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1354 test_DownsampleFactorMaxGrad_grad_stride__5_5_1_1_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1355 test_DownsampleFactorMaxGrad_grad_stride__5_5_1_1_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1356 test_DownsampleFactorMaxGrad_grad_stride__7_7_10_10_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1357 test_DownsampleFactorMaxGrad_grad_stride__7_7_10_10_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1358 test_DownsampleFactorMaxGrad_grad_stride__9_9_1_1_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1359 test_DownsampleFactorMaxGrad_grad_stride__9_9_1_1_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1360 test_DownsampleFactorMaxPaddingStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/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] /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1361 test_DownsampleFactorMaxPaddingStride_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1362 test_DownsampleFactorMaxPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1363 test_DownsampleFactorMaxStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/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] /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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] /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1364 test_DownsampleFactorMaxStrideExtra (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1365 test_DownsampleFactorMax_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1366 test_DownsampleFactorMax_grad_stride__1_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1367 test_DownsampleFactorMax_grad_stride__1_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1368 test_DownsampleFactorMax_grad_stride__1_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1369 test_DownsampleFactorMax_grad_stride__1_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1370 test_DownsampleFactorMax_grad_stride__1_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1371 test_DownsampleFactorMax_grad_stride__1_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1372 test_DownsampleFactorMax_grad_stride__1_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1373 test_DownsampleFactorMax_grad_stride__1_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1374 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1375 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1376 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1377 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1378 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1379 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1380 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1381 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1382 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1383 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1384 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1385 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1386 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1387 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1388 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1389 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1390 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1391 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1392 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1393 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1394 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1395 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1396 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1397 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1398 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1399 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1400 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 100 tests in 141.996s OK 31% done in 145.402s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/signal/tests/test_pool.py:585: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:677: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:705: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, #1401 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1402 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1403 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1404 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1405 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1406 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1407 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1408 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1409 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1410 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1411 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1412 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1413 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1414 test_DownsampleFactorMax_grad_stride__2_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1415 test_DownsampleFactorMax_grad_stride__2_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1416 test_DownsampleFactorMax_grad_stride__2_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1417 test_DownsampleFactorMax_grad_stride__2_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1418 test_DownsampleFactorMax_grad_stride__2_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1419 test_DownsampleFactorMax_grad_stride__2_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1420 test_DownsampleFactorMax_grad_stride__2_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1421 test_DownsampleFactorMax_grad_stride__2_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1422 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1423 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1424 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1425 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1426 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1427 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1428 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1429 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1430 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1431 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1432 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1433 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1434 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1435 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1436 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1437 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1438 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1439 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1440 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1441 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1442 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1443 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1444 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1445 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1446 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1447 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1448 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1449 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1450 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1451 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1452 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1453 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1454 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1455 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1456 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1457 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1458 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1459 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1460 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1461 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1462 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1463 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1464 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1465 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1466 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1467 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1468 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1469 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1470 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1471 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1472 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1473 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1474 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1475 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1476 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1477 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1478 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1479 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1480 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1481 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1482 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1483 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1484 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1485 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_sum (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_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1487 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1488 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1489 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1490 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1491 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1492 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 #1493 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 #1494 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1495 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1496 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1497 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1498 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1499 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1500 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 15.131s OK 33% done in 18.289s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/signal/tests/test_pool.py:585: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:677: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/signal/tests/test_pool.py:705: DeprecationWarning: testcase_func_name= is deprecated; use name_func= @parameterized.expand(product(pool_grad_stride_examples, /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #1501 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1502 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1503 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1504 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1505 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1506 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1507 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1508 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1509 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1510 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1511 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1512 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1513 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1514 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1515 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1516 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1517 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1518 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1519 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1520 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1521 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1522 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1523 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1524 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1525 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1526 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1527 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1528 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1529 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1530 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1531 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1532 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1533 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1534 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1535 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1536 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1537 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1538 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1539 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1540 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1541 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1542 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1543 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1544 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1545 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1546 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1547 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1548 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1549 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1550 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1551 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1552 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1553 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1554 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1555 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1556 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1557 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1558 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1559 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1560 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1561 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1562 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1563 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1564 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1565 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1566 test_DownsampleFactorMax_hessian (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1567 test_infer_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1568 test_max_pool_2d_2D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1569 test_max_pool_2d_2D_same_size (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1570 test_max_pool_2d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1571 test_max_pool_2d_6D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1572 test_max_pool_3d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1573 test_max_pool_3d_3D_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/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, /<>/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, /<>/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 #1574 test_old_pool_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1575 test_out_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1576 test_pooling_with_tensor_vars (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1577 test_pooling_with_tensor_vars_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/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, /<>/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, /<>/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, /<>/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, /<>/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, /<>/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 #1578 Demonstrate stochastic gradient descent optimization for a multilayer ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1579 test_bad_build (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1580 test_bad_runtime (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1581 test_good (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1582 test_grad (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1583 test_grad_none (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1584 test_bad_build (theano.tensor.tests.test_basic.AbsTester) ... ok #1585 test_bad_runtime (theano.tensor.tests.test_basic.AbsTester) ... ok #1586 test_good (theano.tensor.tests.test_basic.AbsTester) ... ok #1587 test_grad (theano.tensor.tests.test_basic.AbsTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1588 test_grad_none (theano.tensor.tests.test_basic.AbsTester) ... ok #1589 test_bad_build (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1590 test_bad_runtime (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1591 test_good (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1592 test_grad (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1593 test_grad_none (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1594 test_bad_build (theano.tensor.tests.test_basic.AddTester) ... ok #1595 test_bad_runtime (theano.tensor.tests.test_basic.AddTester) ... ok #1596 test_good (theano.tensor.tests.test_basic.AddTester) ... ok #1597 test_grad (theano.tensor.tests.test_basic.AddTester) ... ok #1598 test_grad_none (theano.tensor.tests.test_basic.AddTester) ... ok #1599 test_bad_build (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1600 test_bad_runtime (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 150.099s OK 35% done in 153.642s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #1601 test_good (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1602 test_grad (theano.tensor.tests.test_basic.Alloc01GradTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1603 test_grad_none (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1604 test_bad_build (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1605 test_bad_runtime (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1606 test_good (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1607 test_grad (theano.tensor.tests.test_basic.Alloc13GradTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1608 test_grad_none (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1609 test_bad_build (theano.tensor.tests.test_basic.AllocTester) ... ok #1610 test_bad_runtime (theano.tensor.tests.test_basic.AllocTester) ... ok #1611 test_good (theano.tensor.tests.test_basic.AllocTester) ... ok #1612 test_grad (theano.tensor.tests.test_basic.AllocTester) ... ok #1613 test_grad_none (theano.tensor.tests.test_basic.AllocTester) ... ok #1614 test_bad_build (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1615 test_bad_runtime (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1616 test_good (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1617 test_grad (theano.tensor.tests.test_basic.Allocb1GradTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1618 test_grad_none (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1619 test_bad_build (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1620 test_bad_runtime (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1621 test_good (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1622 test_grad (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1623 test_grad_none (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1624 test_bad_build (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1625 test_bad_runtime (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1626 test_good (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1627 test_grad (theano.tensor.tests.test_basic.Allocb3GradTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1628 test_grad_none (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1629 test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1630 test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1631 test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1632 test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1633 test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1634 test_bad_build (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1635 test_bad_runtime (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1636 test_good (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1637 test_grad (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1638 test_grad_none (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1639 test_bad_build (theano.tensor.tests.test_basic.ArccosTester) ... ok #1640 test_bad_runtime (theano.tensor.tests.test_basic.ArccosTester) ... ok #1641 test_good (theano.tensor.tests.test_basic.ArccosTester) ... ok #1642 test_grad (theano.tensor.tests.test_basic.ArccosTester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1643 test_grad_none (theano.tensor.tests.test_basic.ArccosTester) ... ok #1644 test_bad_build (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1645 test_bad_runtime (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1646 test_good (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1647 test_grad (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1648 test_grad_none (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1649 test_bad_build (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1650 test_bad_runtime (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1651 test_good (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1652 test_grad (theano.tensor.tests.test_basic.ArccoshTester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1653 test_grad_none (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1654 test_bad_build (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1655 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1656 test_good (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1657 test_grad (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1658 test_grad_none (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1659 test_bad_build (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1660 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1661 test_good (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1662 test_grad (theano.tensor.tests.test_basic.ArcsinTester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1663 test_grad_none (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1664 test_bad_build (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1665 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1666 test_good (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1667 test_grad (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1668 test_grad_none (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1669 test_bad_build (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1670 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1671 test_good (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1672 test_grad (theano.tensor.tests.test_basic.ArcsinhTester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1673 test_grad_none (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1674 test_bad_build (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1675 test_bad_runtime (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1676 test_good (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1677 test_grad (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1678 test_grad_none (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1679 test_bad_build (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1680 test_bad_runtime (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1681 test_good (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1682 test_grad (theano.tensor.tests.test_basic.Arctan2Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1683 test_grad_none (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1684 test_bad_build (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1685 test_bad_runtime (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1686 test_good (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1687 test_grad (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1688 test_grad_none (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1689 test_bad_build (theano.tensor.tests.test_basic.ArctanTester) ... ok #1690 test_bad_runtime (theano.tensor.tests.test_basic.ArctanTester) ... ok #1691 test_good (theano.tensor.tests.test_basic.ArctanTester) ... ok #1692 test_grad (theano.tensor.tests.test_basic.ArctanTester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1693 test_grad_none (theano.tensor.tests.test_basic.ArctanTester) ... ok #1694 test_bad_build (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1695 test_bad_runtime (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1696 test_good (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1697 test_grad (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1698 test_grad_none (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1699 test_bad_build (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1700 test_bad_runtime (theano.tensor.tests.test_basic.ArctanhTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 138.780s OK 37% done in 142.367s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #1701 test_good (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1702 test_grad (theano.tensor.tests.test_basic.ArctanhTester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1703 test_grad_none (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1704 test_bad_build (theano.tensor.tests.test_basic.BackwardsClipTester) ... ok #1705 test_bad_runtime (theano.tensor.tests.test_basic.BackwardsClipTester) ... ok #1706 test_good (theano.tensor.tests.test_basic.BackwardsClipTester) ... ok #1707 test_grad (theano.tensor.tests.test_basic.BackwardsClipTester) ... ok #1708 test_grad_none (theano.tensor.tests.test_basic.BackwardsClipTester) ... ok #1709 test_bad_build (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1710 test_bad_runtime (theano.tensor.tests.test_basic.BatchedDotTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1711 test_good (theano.tensor.tests.test_basic.BatchedDotTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1712 test_grad (theano.tensor.tests.test_basic.BatchedDotTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1713 test_grad_none (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1714 test_cast_from_complex_to_real_raises_error (theano.tensor.tests.test_basic.CastTester) ... ok #1715 test_cast_from_real_to_complex (theano.tensor.tests.test_basic.CastTester) ... ok #1716 test_good_between_real_types (theano.tensor.tests.test_basic.CastTester) ... ok #1717 test_bad_build (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1718 test_bad_runtime (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1719 test_good (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1720 test_grad (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1721 test_grad_none (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1722 test_bad_build (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1723 test_bad_runtime (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1724 test_good (theano.tensor.tests.test_basic.CeilIntDivTester) ... /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #1725 test_grad (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1726 test_grad_none (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1727 test_bad_build (theano.tensor.tests.test_basic.CeilTester) ... ok #1728 test_bad_runtime (theano.tensor.tests.test_basic.CeilTester) ... ok #1729 test_good (theano.tensor.tests.test_basic.CeilTester) ... ok #1730 test_grad (theano.tensor.tests.test_basic.CeilTester) ... ok #1731 test_grad_none (theano.tensor.tests.test_basic.CeilTester) ... ok #1732 test_bad_build (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1733 test_bad_runtime (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1734 test_good (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1735 test_grad (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1736 test_grad_none (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1737 test_bad_build (theano.tensor.tests.test_basic.ClipTester) ... ok #1738 test_bad_runtime (theano.tensor.tests.test_basic.ClipTester) ... ok #1739 test_good (theano.tensor.tests.test_basic.ClipTester) ... ok #1740 test_grad (theano.tensor.tests.test_basic.ClipTester) ... ok #1741 test_grad_none (theano.tensor.tests.test_basic.ClipTester) ... ok #1742 test_bad_build (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1743 test_bad_runtime (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1744 test_good (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... /<>/theano/scalar/basic.py:3753: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128(np.complex(x, y)) ok #1745 test_grad (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1746 test_grad_none (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1747 test_bad_build (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1748 test_bad_runtime (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1749 test_good (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1750 test_grad (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1751 test_grad_none (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1752 test_bad_build (theano.tensor.tests.test_basic.ConjTester) ... ok #1753 test_bad_runtime (theano.tensor.tests.test_basic.ConjTester) ... ok #1754 test_good (theano.tensor.tests.test_basic.ConjTester) ... ok #1755 test_grad (theano.tensor.tests.test_basic.ConjTester) ... ok #1756 test_grad_none (theano.tensor.tests.test_basic.ConjTester) ... ok #1757 test_bad_build (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1758 test_bad_runtime (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1759 test_good (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1760 test_grad (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1761 test_grad_none (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1762 test_bad_build (theano.tensor.tests.test_basic.CosTester) ... ok #1763 test_bad_runtime (theano.tensor.tests.test_basic.CosTester) ... ok #1764 test_good (theano.tensor.tests.test_basic.CosTester) ... ok #1765 test_grad (theano.tensor.tests.test_basic.CosTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1766 test_grad_none (theano.tensor.tests.test_basic.CosTester) ... ok #1767 test_bad_build (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1768 test_bad_runtime (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1769 test_good (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1770 test_grad (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1771 test_grad_none (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1772 test_bad_build (theano.tensor.tests.test_basic.CoshTester) ... ok #1773 test_bad_runtime (theano.tensor.tests.test_basic.CoshTester) ... ok #1774 test_good (theano.tensor.tests.test_basic.CoshTester) ... ok #1775 test_grad (theano.tensor.tests.test_basic.CoshTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1776 test_grad_none (theano.tensor.tests.test_basic.CoshTester) ... ok #1777 test_bad_build (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1778 test_bad_runtime (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1779 test_good (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1780 test_grad (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1781 test_grad_none (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1782 test_bad_build (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1783 test_bad_runtime (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1784 test_good (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1785 test_grad (theano.tensor.tests.test_basic.Deg2radTester) ... /<>/theano/scalar/basic.py:3108: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(np.pi / 180, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3108: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(np.pi / 180, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1786 test_grad_none (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1787 test_bad_build (theano.tensor.tests.test_basic.DotTester) ... ok #1788 test_bad_runtime (theano.tensor.tests.test_basic.DotTester) ... ok #1789 test_good (theano.tensor.tests.test_basic.DotTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1790 test_grad (theano.tensor.tests.test_basic.DotTester) ... ok #1791 test_grad_none (theano.tensor.tests.test_basic.DotTester) ... ok #1792 test_bad_build (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1793 test_bad_runtime (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1794 test_good (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1795 test_grad (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1796 test_grad_none (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1797 test_bad_build (theano.tensor.tests.test_basic.ErfTester) ... ok #1798 test_bad_runtime (theano.tensor.tests.test_basic.ErfTester) ... ok #1799 test_good (theano.tensor.tests.test_basic.ErfTester) ... ok #1800 test_grad (theano.tensor.tests.test_basic.ErfTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 100 tests in 199.506s OK 40% done in 202.826s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #1801 test_grad_none (theano.tensor.tests.test_basic.ErfTester) ... ok #1802 test_bad_build (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1803 test_bad_runtime (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1804 test_good (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1805 test_grad (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1806 test_grad_none (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1807 test_bad_build (theano.tensor.tests.test_basic.ErfcTester) ... ok #1808 test_bad_runtime (theano.tensor.tests.test_basic.ErfcTester) ... ok #1809 test_good (theano.tensor.tests.test_basic.ErfcTester) ... ok #1810 test_grad (theano.tensor.tests.test_basic.ErfcTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1811 test_grad_none (theano.tensor.tests.test_basic.ErfcTester) ... ok #1812 test_bad_build (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1813 test_bad_runtime (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1814 test_good (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1815 test_grad (theano.tensor.tests.test_basic.ErfcinvTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1816 test_grad_none (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1817 test_bad_build (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1818 test_bad_runtime (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1819 test_good (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1820 test_grad (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1821 test_grad_none (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1822 test_bad_build (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1823 test_bad_runtime (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1824 test_good (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1825 test_grad (theano.tensor.tests.test_basic.ErfcxTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1826 test_grad_none (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1827 test_bad_build (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1828 test_bad_runtime (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1829 test_good (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1830 test_grad (theano.tensor.tests.test_basic.ErfinvTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1831 test_grad_none (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1832 test_bad_build (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1833 test_bad_runtime (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1834 test_good (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1835 test_grad (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1836 test_grad_none (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1837 test_bad_build (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1838 test_bad_runtime (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1839 test_good (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1840 test_grad (theano.tensor.tests.test_basic.Exp2Tester) ... /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /usr/lib/python3/dist-packages/numpy/core/numerictypes.py:277: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) res = dtype(rep) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1841 test_grad_none (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1842 test_bad_build (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1843 test_bad_runtime (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1844 test_good (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1845 test_grad (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1846 test_grad_none (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1847 test_bad_build (theano.tensor.tests.test_basic.ExpTester) ... ok #1848 test_bad_runtime (theano.tensor.tests.test_basic.ExpTester) ... ok #1849 test_good (theano.tensor.tests.test_basic.ExpTester) ... ok #1850 test_grad (theano.tensor.tests.test_basic.ExpTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1851 test_grad_none (theano.tensor.tests.test_basic.ExpTester) ... ok #1852 test_bad_build (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1853 test_bad_runtime (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1854 test_good (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1855 test_grad (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1856 test_grad_none (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1857 test_bad_build (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1858 test_bad_runtime (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1859 test_good (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1860 test_grad (theano.tensor.tests.test_basic.Expm1Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1861 test_grad_none (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1862 test_bad_build (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1863 test_bad_runtime (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1864 test_good (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1865 test_grad (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1866 test_grad_none (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1867 test_bad_build (theano.tensor.tests.test_basic.FloorTester) ... ok #1868 test_bad_runtime (theano.tensor.tests.test_basic.FloorTester) ... ok #1869 test_good (theano.tensor.tests.test_basic.FloorTester) ... ok #1870 test_grad (theano.tensor.tests.test_basic.FloorTester) ... ok #1871 test_grad_none (theano.tensor.tests.test_basic.FloorTester) ... ok #1872 test_bad_build (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1873 test_bad_runtime (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1874 test_good (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1875 test_grad (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1876 test_grad_none (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1877 test_bad_build (theano.tensor.tests.test_basic.GammaTester) ... ok #1878 test_bad_runtime (theano.tensor.tests.test_basic.GammaTester) ... ok #1879 test_good (theano.tensor.tests.test_basic.GammaTester) ... ok #1880 test_grad (theano.tensor.tests.test_basic.GammaTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1881 test_grad_none (theano.tensor.tests.test_basic.GammaTester) ... ok #1882 test_bad_build (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1883 test_bad_runtime (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1884 test_good (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1885 test_grad (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1886 test_grad_none (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1887 test_bad_build (theano.tensor.tests.test_basic.GammalnTester) ... ok #1888 test_bad_runtime (theano.tensor.tests.test_basic.GammalnTester) ... ok #1889 test_good (theano.tensor.tests.test_basic.GammalnTester) ... ok #1890 test_grad (theano.tensor.tests.test_basic.GammalnTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1891 test_grad_none (theano.tensor.tests.test_basic.GammalnTester) ... ok #1892 test_bad_build (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1893 test_bad_runtime (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1894 test_good (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1895 test_grad (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1896 test_grad_none (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1897 test_bad_build (theano.tensor.tests.test_basic.I0Tester) ... ok #1898 test_bad_runtime (theano.tensor.tests.test_basic.I0Tester) ... ok #1899 test_good (theano.tensor.tests.test_basic.I0Tester) ... ok #1900 test_grad (theano.tensor.tests.test_basic.I0Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 100 tests in 112.556s OK 42% done in 115.835s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #1901 test_grad_none (theano.tensor.tests.test_basic.I0Tester) ... ok #1902 test_bad_build (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1903 test_bad_runtime (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1904 test_good (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1905 test_grad (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1906 test_grad_none (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1907 test_bad_build (theano.tensor.tests.test_basic.I1Tester) ... ok #1908 test_bad_runtime (theano.tensor.tests.test_basic.I1Tester) ... ok #1909 test_good (theano.tensor.tests.test_basic.I1Tester) ... ok #1910 test_grad (theano.tensor.tests.test_basic.I1Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1911 test_grad_none (theano.tensor.tests.test_basic.I1Tester) ... ok #1912 test_bad_build (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1913 test_bad_runtime (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1914 test_good (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1915 test_grad (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1916 test_grad_none (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1917 test_bad_build (theano.tensor.tests.test_basic.IntDivTester) ... ok #1918 test_bad_runtime (theano.tensor.tests.test_basic.IntDivTester) ... ok #1919 test_good (theano.tensor.tests.test_basic.IntDivTester) ... ok #1920 test_grad (theano.tensor.tests.test_basic.IntDivTester) ... ok #1921 test_grad_none (theano.tensor.tests.test_basic.IntDivTester) ... ok #1922 test_bad_build (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1923 test_bad_runtime (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1924 test_good (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1925 test_grad (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1926 test_grad_none (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1927 test_bad_build (theano.tensor.tests.test_basic.InvTester) ... ok #1928 test_bad_runtime (theano.tensor.tests.test_basic.InvTester) ... ok #1929 test_good (theano.tensor.tests.test_basic.InvTester) ... ok #1930 test_grad (theano.tensor.tests.test_basic.InvTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1931 test_grad_none (theano.tensor.tests.test_basic.InvTester) ... ok #1932 test_bad_build (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1933 test_bad_runtime (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1934 test_good (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1935 test_grad (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1936 test_grad_none (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1937 test_bad_build (theano.tensor.tests.test_basic.IvTester) ... ok #1938 test_bad_runtime (theano.tensor.tests.test_basic.IvTester) ... ok #1939 test_good (theano.tensor.tests.test_basic.IvTester) ... ok #1940 test_grad (theano.tensor.tests.test_basic.IvTester) ... ok #1941 test_grad_none (theano.tensor.tests.test_basic.IvTester) ... ok #1942 test_bad_build (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1943 test_bad_runtime (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1944 test_good (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1945 test_grad (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1946 test_grad_none (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1947 test_bad_build (theano.tensor.tests.test_basic.J0Tester) ... ok #1948 test_bad_runtime (theano.tensor.tests.test_basic.J0Tester) ... ok #1949 test_good (theano.tensor.tests.test_basic.J0Tester) ... ok #1950 test_grad (theano.tensor.tests.test_basic.J0Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1951 test_grad_none (theano.tensor.tests.test_basic.J0Tester) ... ok #1952 test_bad_build (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1953 test_bad_runtime (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1954 test_good (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1955 test_grad (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1956 test_grad_none (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1957 test_bad_build (theano.tensor.tests.test_basic.J1Tester) ... ok #1958 test_bad_runtime (theano.tensor.tests.test_basic.J1Tester) ... ok #1959 test_good (theano.tensor.tests.test_basic.J1Tester) ... ok #1960 test_grad (theano.tensor.tests.test_basic.J1Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1961 test_grad_none (theano.tensor.tests.test_basic.J1Tester) ... ok #1962 test_bad_build (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1963 test_bad_runtime (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1964 test_good (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1965 test_grad (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1966 test_grad_none (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1967 test_bad_build (theano.tensor.tests.test_basic.JvTester) ... ok #1968 test_bad_runtime (theano.tensor.tests.test_basic.JvTester) ... ok #1969 test_good (theano.tensor.tests.test_basic.JvTester) ... ok #1970 test_grad (theano.tensor.tests.test_basic.JvTester) ... ok #1971 test_grad_none (theano.tensor.tests.test_basic.JvTester) ... ok #1972 test_bad_build (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1973 test_bad_runtime (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1974 test_good (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1975 test_grad (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1976 test_grad_none (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1977 test_bad_build (theano.tensor.tests.test_basic.Log10Tester) ... ok #1978 test_bad_runtime (theano.tensor.tests.test_basic.Log10Tester) ... ok #1979 test_good (theano.tensor.tests.test_basic.Log10Tester) ... ok #1980 test_grad (theano.tensor.tests.test_basic.Log10Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1981 test_grad_none (theano.tensor.tests.test_basic.Log10Tester) ... ok #1982 test_bad_build (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1983 test_bad_runtime (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1984 test_good (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1985 test_grad (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1986 test_grad_none (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1987 test_bad_build (theano.tensor.tests.test_basic.Log1pTester) ... ok #1988 test_bad_runtime (theano.tensor.tests.test_basic.Log1pTester) ... ok #1989 test_good (theano.tensor.tests.test_basic.Log1pTester) ... ok #1990 test_grad (theano.tensor.tests.test_basic.Log1pTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #1991 test_grad_none (theano.tensor.tests.test_basic.Log1pTester) ... ok #1992 test_bad_build (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1993 test_bad_runtime (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1994 test_good (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1995 test_grad (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1996 test_grad_none (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1997 test_bad_build (theano.tensor.tests.test_basic.Log2Tester) ... ok #1998 test_bad_runtime (theano.tensor.tests.test_basic.Log2Tester) ... ok #1999 test_good (theano.tensor.tests.test_basic.Log2Tester) ... ok #2000 test_grad (theano.tensor.tests.test_basic.Log2Tester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 100 tests in 136.210s OK 44% done in 139.659s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2001 test_grad_none (theano.tensor.tests.test_basic.Log2Tester) ... ok #2002 test_bad_build (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #2003 test_bad_runtime (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #2004 test_good (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #2005 test_grad (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #2006 test_grad_none (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #2007 test_bad_build (theano.tensor.tests.test_basic.LogTester) ... ok #2008 test_bad_runtime (theano.tensor.tests.test_basic.LogTester) ... ok #2009 test_good (theano.tensor.tests.test_basic.LogTester) ... ok #2010 test_grad (theano.tensor.tests.test_basic.LogTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2011 test_grad_none (theano.tensor.tests.test_basic.LogTester) ... ok #2012 test_bad_build (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2013 test_bad_runtime (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2014 test_good (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2015 test_grad (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2016 test_grad_none (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2017 test_bad_build (theano.tensor.tests.test_basic.MaximumTester) ... ok #2018 test_bad_runtime (theano.tensor.tests.test_basic.MaximumTester) ... ok #2019 test_good (theano.tensor.tests.test_basic.MaximumTester) ... ok #2020 test_grad (theano.tensor.tests.test_basic.MaximumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2021 test_grad_none (theano.tensor.tests.test_basic.MaximumTester) ... ok #2022 test_bad_build (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2023 test_bad_runtime (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2024 test_good (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2025 test_grad (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2026 test_grad_none (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2027 test_bad_build (theano.tensor.tests.test_basic.MinimumTester) ... ok #2028 test_bad_runtime (theano.tensor.tests.test_basic.MinimumTester) ... ok #2029 test_good (theano.tensor.tests.test_basic.MinimumTester) ... ok #2030 test_grad (theano.tensor.tests.test_basic.MinimumTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2031 test_grad_none (theano.tensor.tests.test_basic.MinimumTester) ... ok #2032 test_bad_build (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2033 test_bad_runtime (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2034 test_good (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2035 test_grad (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2036 test_grad_none (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2037 test_bad_build (theano.tensor.tests.test_basic.ModTester) ... ok #2038 test_bad_runtime (theano.tensor.tests.test_basic.ModTester) ... ok #2039 test_good (theano.tensor.tests.test_basic.ModTester) ... ok #2040 test_grad (theano.tensor.tests.test_basic.ModTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2041 test_grad_none (theano.tensor.tests.test_basic.ModTester) ... ok #2042 test_bad_build (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2043 test_bad_runtime (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2044 test_good (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2045 test_grad (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2046 test_grad_none (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2047 test_bad_build (theano.tensor.tests.test_basic.MulTester) ... ok #2048 test_bad_runtime (theano.tensor.tests.test_basic.MulTester) ... ok #2049 test_good (theano.tensor.tests.test_basic.MulTester) ... ok #2050 test_grad (theano.tensor.tests.test_basic.MulTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2051 test_grad_none (theano.tensor.tests.test_basic.MulTester) ... ok #2052 test_bad_build (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2053 test_bad_runtime (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2054 test_good (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2055 test_grad (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2056 test_grad_none (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2057 test_bad_build (theano.tensor.tests.test_basic.NegTester) ... ok #2058 test_bad_runtime (theano.tensor.tests.test_basic.NegTester) ... ok #2059 test_good (theano.tensor.tests.test_basic.NegTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2060 test_grad (theano.tensor.tests.test_basic.NegTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2061 test_grad_none (theano.tensor.tests.test_basic.NegTester) ... ok #2062 test_bad_build (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2063 test_bad_runtime (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2064 test_good (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2065 test_grad (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2066 test_grad_none (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2067 test_bad_build (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2068 test_bad_runtime (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2069 test_good (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2070 test_grad (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2071 test_grad_none (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2072 test_bad_build (theano.tensor.tests.test_basic.PowTester) ... ok #2073 test_bad_runtime (theano.tensor.tests.test_basic.PowTester) ... ok #2074 test_good (theano.tensor.tests.test_basic.PowTester) ... ok #2075 test_grad (theano.tensor.tests.test_basic.PowTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2076 test_grad_none (theano.tensor.tests.test_basic.PowTester) ... ok #2077 test_bad_build (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2078 test_bad_runtime (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2079 test_good (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2080 test_grad (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2081 test_grad_none (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2082 test_bad_build (theano.tensor.tests.test_basic.PsiTester) ... ok #2083 test_bad_runtime (theano.tensor.tests.test_basic.PsiTester) ... ok #2084 test_good (theano.tensor.tests.test_basic.PsiTester) ... ok #2085 test_grad (theano.tensor.tests.test_basic.PsiTester) ... ok #2086 test_grad_none (theano.tensor.tests.test_basic.PsiTester) ... ok #2087 test_bad_build (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2088 test_bad_runtime (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2089 test_good (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2090 test_grad (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2091 test_grad_none (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2092 test_bad_build (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2093 test_bad_runtime (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2094 test_good (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2095 test_grad (theano.tensor.tests.test_basic.Rad2degTester) ... /<>/theano/scalar/basic.py:3141: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(180. / np.pi, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3141: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return gz * np.asarray(180. / np.pi, gz.type), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2096 test_grad_none (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2097 test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2098 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2099 test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2100 test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 296.653s OK 46% done in 300.554s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2101 test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2102 test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2103 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2104 test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2105 test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2106 test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2107 test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2108 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2109 test_good (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2110 test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2111 test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2112 test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2113 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2114 test_good (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2115 test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2116 test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2117 test_bad_build (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2118 test_bad_runtime (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2119 test_good (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2120 test_grad (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2121 test_grad_none (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2122 test_bad_build (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2123 test_bad_runtime (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2124 test_good (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2125 test_grad (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2126 test_grad_none (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2127 test_bad_build (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2128 test_bad_runtime (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2129 test_good (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2130 test_grad (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2131 test_grad_none (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2132 test_bad_build (theano.tensor.tests.test_basic.SgnTester) ... ok #2133 test_bad_runtime (theano.tensor.tests.test_basic.SgnTester) ... ok #2134 test_good (theano.tensor.tests.test_basic.SgnTester) ... ok #2135 test_grad (theano.tensor.tests.test_basic.SgnTester) ... ok #2136 test_grad_none (theano.tensor.tests.test_basic.SgnTester) ... ok #2137 test_bad_build (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2138 test_bad_runtime (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2139 test_good (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2140 test_grad (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2141 test_grad_none (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2142 test_bad_build (theano.tensor.tests.test_basic.SinTester) ... ok #2143 test_bad_runtime (theano.tensor.tests.test_basic.SinTester) ... ok #2144 test_good (theano.tensor.tests.test_basic.SinTester) ... ok #2145 test_grad (theano.tensor.tests.test_basic.SinTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2146 test_grad_none (theano.tensor.tests.test_basic.SinTester) ... ok #2147 test_bad_build (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2148 test_bad_runtime (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2149 test_good (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2150 test_grad (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2151 test_grad_none (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2152 test_bad_build (theano.tensor.tests.test_basic.SinhTester) ... ok #2153 test_bad_runtime (theano.tensor.tests.test_basic.SinhTester) ... ok #2154 test_good (theano.tensor.tests.test_basic.SinhTester) ... ok #2155 test_grad (theano.tensor.tests.test_basic.SinhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2156 test_grad_none (theano.tensor.tests.test_basic.SinhTester) ... ok #2157 test_bad_build (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2158 test_bad_runtime (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2159 test_good (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2160 test_grad (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2161 test_grad_none (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2162 test_bad_build (theano.tensor.tests.test_basic.SqrTester) ... ok #2163 test_bad_runtime (theano.tensor.tests.test_basic.SqrTester) ... ok #2164 test_good (theano.tensor.tests.test_basic.SqrTester) ... ok #2165 test_grad (theano.tensor.tests.test_basic.SqrTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2166 test_grad_none (theano.tensor.tests.test_basic.SqrTester) ... ok #2167 test_bad_build (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2168 test_bad_runtime (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2169 test_good (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2170 test_grad (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2171 test_grad_none (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2172 test_bad_build (theano.tensor.tests.test_basic.SqrtTester) ... ok #2173 test_bad_runtime (theano.tensor.tests.test_basic.SqrtTester) ... ok #2174 test_good (theano.tensor.tests.test_basic.SqrtTester) ... ok #2175 test_grad (theano.tensor.tests.test_basic.SqrtTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2176 test_grad_none (theano.tensor.tests.test_basic.SqrtTester) ... ok #2177 test_bad_build (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2178 test_bad_runtime (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2179 test_good (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2180 test_grad (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2181 test_grad_none (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2182 test_bad_build (theano.tensor.tests.test_basic.SubTester) ... ok #2183 test_bad_runtime (theano.tensor.tests.test_basic.SubTester) ... ok #2184 test_good (theano.tensor.tests.test_basic.SubTester) ... ok #2185 test_grad (theano.tensor.tests.test_basic.SubTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2186 test_grad_none (theano.tensor.tests.test_basic.SubTester) ... ok #2187 test_bad_build (theano.tensor.tests.test_basic.SwitchTester) ... ok #2188 test_bad_runtime (theano.tensor.tests.test_basic.SwitchTester) ... ok #2189 test_good (theano.tensor.tests.test_basic.SwitchTester) ... ok #2190 test_grad (theano.tensor.tests.test_basic.SwitchTester) ... ok #2191 test_grad_none (theano.tensor.tests.test_basic.SwitchTester) ... ok #2192 test_broadcasted (theano.tensor.tests.test_basic.T_Choose) ... ok #2193 test_dtype_error (theano.tensor.tests.test_basic.T_Choose) ... ok #2194 test_infer_shape (theano.tensor.tests.test_basic.T_Choose) ... ok #2195 test_method (theano.tensor.tests.test_basic.T_Choose) ... ok #2196 test_numpy_compare (theano.tensor.tests.test_basic.T_Choose) ... ok #2197 test_numpy_compare_tuple (theano.tensor.tests.test_basic.T_Choose) ... ok #2198 test_clip_repeat_grad (theano.tensor.tests.test_basic.T_Clip) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2199 test_clip_repeat_verify_grad (theano.tensor.tests.test_basic.T_Clip) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2200 test_complex_value (theano.tensor.tests.test_basic.T_Clip) ... ok ---------------------------------------------------------------------- Ran 100 tests in 430.919s OK 49% done in 434.868s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2201 test_get_vector_length (theano.tensor.tests.test_basic.T_GetVectorLength) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2202 test_broadcastable_flag_assignment_mixed_otheraxes (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2203 test_broadcastable_flag_assignment_mixed_thisaxes (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2204 test_broadcastable_flags_all_broadcastable_on_joinaxis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2205 test_broadcastable_flags_many_dims_and_inputs (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2206 test_broadcastable_single_input_broadcastable_dimension (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2207 test_concatenate_same (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2208 test_infer_shape_join (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2209 test_join_concatenate_one_element (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2210 test_join_matrix0 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2211 test_join_matrix1 (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2212 test_join_matrix1_using_horizontal_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2213 test_join_matrix1_using_vertical_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2214 test_join_matrixC_negative_axis (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2215 test_join_matrixV (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2216 test_join_matrixV_negative_axis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2217 test_join_matrix_dtypes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2218 test_join_matrix_ints (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2219 test_join_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2220 test_join_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2221 test_mixed_ndim_error (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2222 test_rebroadcast (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2223 test_roll (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2224 test_split_0elem (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2225 test_split_neg (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2226 test_stack_hessian (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2227 test_stack_hessian2 (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2228 test_stack_mixed_type_constants (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2229 test_stack_new_interface (theano.tensor.tests.test_basic.T_Join_and_Split) ... /usr/lib/python3.10/unittest/case.py:549: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead. method() /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2230 test_stack_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2231 test_stack_scalar_make_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2232 test_stack_scalar_make_vector_constant (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2233 test_stack_scalar_make_vector_dtype (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2234 test_stack_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2235 test_vector_len (theano.tensor.tests.test_basic.T_Join_and_Split) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2236 test_multiple_power (theano.tensor.tests.test_basic.T_Power) ... ok #2237 test_numpy_compare (theano.tensor.tests.test_basic.T_Power) ... ok #2238 test_wrong_shape (theano.tensor.tests.test_basic.T_Power) ... ok #2239 test_basic0 (theano.tensor.tests.test_basic.T_Shape) ... ok #2240 test_basic1 (theano.tensor.tests.test_basic.T_Shape) ... ok #2241 test_basic2 (theano.tensor.tests.test_basic.T_Shape) ... ok #2242 test_complex_all_ops (theano.tensor.tests.test_basic.T_add) ... ok #2243 test_grad_col (theano.tensor.tests.test_basic.T_add) ... ok #2244 test_grad_row (theano.tensor.tests.test_basic.T_add) ... ok #2245 test_grad_scalar_l (theano.tensor.tests.test_basic.T_add) ... ok #2246 test_grad_scalar_r (theano.tensor.tests.test_basic.T_add) ... ok #2247 test2 (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2248 test2_float16 (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2249 test2_invalid (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2250 test2_invalid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2251 test2_valid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2252 test3 (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2253 test_bool (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2254 test_grad_argmax (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2255 test_grad_argmin (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2256 test_list (theano.tensor.tests.test_basic.T_argmin_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2257 test_scalar (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2258 test_uint (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2259 test_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2260 test_empty_dtype (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2261 test_memmap (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2262 test_ndarray_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2263 test_complex (theano.tensor.tests.test_basic.T_ceil) ... ok #2264 test_impls (theano.tensor.tests.test_basic.T_divimpl) ... /<>/theano/tensor/tests/test_basic.py:4911: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations assert np.allclose(function([i, c], i / c)(5, np.complex(5, 3)), /<>/theano/tensor/tests/test_basic.py:4913: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations assert np.allclose(function([i, c], c / i)(5, np.complex(5, 3)), ok #2265 test_complex (theano.tensor.tests.test_basic.T_exp) ... ok #2266 test_grad_0 (theano.tensor.tests.test_basic.T_exp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2267 test_grad_1 (theano.tensor.tests.test_basic.T_exp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2268 test_int (theano.tensor.tests.test_basic.T_exp) ... ok #2269 test_assert (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2270 test_copy (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2271 test_elemwise (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2272 test_get_scalar_constant_value (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2273 test_make_vector (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2274 test_numpy_array (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2275 test_second (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2276 test_shape_i (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2277 test_subtensor_of_constant (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2278 test_fit_int64 (theano.tensor.tests.test_basic.T_long_tensor) ... ok #2279 test_too_big (theano.tensor.tests.test_basic.T_long_tensor) ... ok #2280 test0 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2281 test1 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2282 test2 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2283 test2_float16 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2284 test2_invalid (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2285 test2_invalid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2286 test2_valid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2287 test3 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2288 test_arg_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2289 test_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2290 test_multiple_axes (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2291 test_numpy_input (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2292 test_preserve_broadcastable (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2293 test_zero_shape (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2294 test0 (theano.tensor.tests.test_basic.T_mean) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2295 test_list (theano.tensor.tests.test_basic.T_mean) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2296 test_mean_f16 (theano.tensor.tests.test_basic.T_mean) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2297 test_regression_mean_of_ndarray_failure (theano.tensor.tests.test_basic.T_mean) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2298 test2 (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2299 test2_invalid (theano.tensor.tests.test_basic.T_min_max) ... ok #2300 test2_invalid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok ---------------------------------------------------------------------- Ran 100 tests in 137.238s OK 51% done in 141.063s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2301 test2_valid_neg (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2302 test3 (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2303 test3b (theano.tensor.tests.test_basic.T_min_max) ... ok #2304 test_bool (theano.tensor.tests.test_basic.T_min_max) ... ok #2305 test_grad_max (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2306 test_grad_min (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2307 test_list (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2308 test_scalar (theano.tensor.tests.test_basic.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2309 test_uint (theano.tensor.tests.test_basic.T_min_max) ... ok #2310 test0 (theano.tensor.tests.test_basic.T_op_cache) ... ok #2311 test_grad (theano.tensor.tests.test_basic.T_outer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2312 test_outer (theano.tensor.tests.test_basic.T_outer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2313 test_0 (theano.tensor.tests.test_basic.T_reshape) ... ok #2314 test_bad_shape (theano.tensor.tests.test_basic.T_reshape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2315 test_empty_shp (theano.tensor.tests.test_basic.T_reshape) ... ok #2316 test_m1 (theano.tensor.tests.test_basic.T_reshape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2317 test_reshape (theano.tensor.tests.test_basic.T_reshape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2318 test_reshape_long_in_shape (theano.tensor.tests.test_basic.T_reshape) ... ok #2319 test0 (theano.tensor.tests.test_basic.T_scalarfromtensor) ... ok #2320 test_list (theano.tensor.tests.test_basic.T_sum) ... ok #2321 test_sum_overflow (theano.tensor.tests.test_basic.T_sum) ... ok #2322 test_doubleswap (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2323 test_interface (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2324 test_no_dimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2325 test_not_enough_dimension (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2326 test_numpy_compare (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2327 test_unidimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2328 test0 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2329 test1 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2330 test2 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2331 test_bad_build (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2332 test_bad_runtime (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2333 test_good (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2334 test_grad (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2335 test_grad_none (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2336 test_bad_build (theano.tensor.tests.test_basic.TanTester) ... ok #2337 test_bad_runtime (theano.tensor.tests.test_basic.TanTester) ... ok #2338 test_good (theano.tensor.tests.test_basic.TanTester) ... ok #2339 test_grad (theano.tensor.tests.test_basic.TanTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2340 test_grad_none (theano.tensor.tests.test_basic.TanTester) ... ok #2341 test_bad_build (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2342 test_bad_runtime (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2343 test_good (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2344 test_grad (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2345 test_grad_none (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2346 test_bad_build (theano.tensor.tests.test_basic.TanhTester) ... ok #2347 test_bad_runtime (theano.tensor.tests.test_basic.TanhTester) ... ok #2348 test_good (theano.tensor.tests.test_basic.TanhTester) ... ok #2349 test_grad (theano.tensor.tests.test_basic.TanhTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2350 test_grad_none (theano.tensor.tests.test_basic.TanhTester) ... ok #2351 test_Op_integers (theano.tensor.tests.test_basic.TestARange) ... ok #2352 test_default_start (theano.tensor.tests.test_basic.TestARange) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2353 test_default_step (theano.tensor.tests.test_basic.TestARange) ... ok #2354 test_dtype_cache (theano.tensor.tests.test_basic.TestARange) ... ok #2355 test_float32 (theano.tensor.tests.test_basic.TestARange) ... ok #2356 test_float64 (theano.tensor.tests.test_basic.TestARange) ... ok #2357 test_grads (theano.tensor.tests.test_basic.TestARange) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2358 test_infer_shape (theano.tensor.tests.test_basic.TestARange) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2359 test_integers (theano.tensor.tests.test_basic.TestARange) ... ok #2360 test_upcast (theano.tensor.tests.test_basic.TestARange) ... ok #2361 test_alloc_constant_folding (theano.tensor.tests.test_basic.TestAlloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2362 test_alloc_output (theano.tensor.tests.test_basic.TestAlloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2363 test_ones (theano.tensor.tests.test_basic.TestAlloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2364 test_zeros (theano.tensor.tests.test_basic.TestAlloc) ... ok #2365 test_alloc_diag_values (theano.tensor.tests.test_basic.TestAllocDiag) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2366 test_above_output_len (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2367 test_below_zero_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2368 test_list (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2369 test_one_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2370 test_strip_leading_broadcastable (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2371 test_infer_shape (theano.tensor.tests.test_basic.TestInferShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:8235: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(advec, aivec_val)], /<>/theano/tensor/tests/test_basic.py:8243: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(admat, aivec_val)], /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:8251: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(adtens4, aivec_val)], /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2372 test_dim1 (theano.tensor.tests.test_basic.TestInversePermutation) ... ok #2373 test_dim2 (theano.tensor.tests.test_basic.TestInversePermutation) ... ok #2374 test_mgrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2375 test_mgrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2376 test_ogrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2377 test_ogrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2378 test_1_1 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2379 test_1_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2380 test_2_1 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2381 test_2_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2382 test_3b_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2383 test_bad_number_of_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2384 test_bad_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2385 test_argmax (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2386 test_argmin (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2387 test_argsort (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2388 test_clip (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2389 test_conj (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2390 test_cumprod (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2391 test_cumsum (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2392 test_diagonal (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2393 test_dot (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2394 test_ravel (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2395 test_real_imag (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2396 test_repeat (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2397 test_round (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2398 test_std (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2399 test_take (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2400 test_trace (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok ---------------------------------------------------------------------- Ran 100 tests in 139.116s OK 53% done in 142.888s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2401 test_bad_build (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2402 test_bad_runtime (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2403 test_good (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2404 test_grad (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2405 test_grad_none (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2406 test_bad_build (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2407 test_bad_runtime (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2408 test_good (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2409 test_grad (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2410 test_grad_none (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2411 test_bad_build (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2412 test_bad_runtime (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2413 test_good (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2414 test_grad (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2415 test_grad_none (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2416 test_bad_build (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2417 test_bad_runtime (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2418 test_good (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2419 test_grad (theano.tensor.tests.test_basic.TrueDivTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2420 test_grad_none (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2421 test_bad_build (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2422 test_bad_runtime (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2423 test_good (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2424 test_grad (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2425 test_grad_none (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2426 test_bad_build (theano.tensor.tests.test_basic.TruncTester) ... ok #2427 test_bad_runtime (theano.tensor.tests.test_basic.TruncTester) ... ok #2428 test_good (theano.tensor.tests.test_basic.TruncTester) ... ok #2429 test_grad (theano.tensor.tests.test_basic.TruncTester) ... ok #2430 test_grad_none (theano.tensor.tests.test_basic.TruncTester) ... ok #2431 test_bad_build (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2432 test_bad_runtime (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2433 test_good (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2434 test_grad (theano.tensor.tests.test_basic.ZerosLikeTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2435 test_grad_none (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2436 test_Op_dims (theano.tensor.tests.test_basic.t_dot) ... ok #2437 test_align_1_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2438 test_align_1_2 (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2439 test_align_1_3 (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2440 test_align_2_1 (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2441 test_align_2_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2442 test_align_2_3 (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2443 test_align_3_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2444 test_align_3_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2445 test_align_3_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2446 test_broadcastable_patterns (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5223: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.asarray(np.complex(1.1, 2.1), /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5232: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/tests/test_basic.py:5234: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([[np.complex(1.3, 2.3)]]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/tests/test_basic.py:5229: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex128([np.complex(1.2, 2.2)]) /<>/theano/tensor/tests/test_basic.py:5227: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex64([np.complex(1.2, 2.2)]) ok #2447 test_dot_0d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2448 test_dot_0d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2449 test_dot_0d_2d (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2450 test_dot_0d_3d (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2451 test_dot_1d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2452 test_dot_1d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2453 test_dot_1d0_2d (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2454 test_dot_1d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2455 test_dot_1d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2456 test_dot_1d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2457 test_dot_1d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2458 test_dot_1d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2459 test_dot_1d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2460 test_dot_1d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2461 test_dot_2d0_0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2462 test_dot_2d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2463 test_dot_2d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2464 test_dot_2d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2465 test_dot_2d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2466 test_dot_2d_0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2467 test_dot_2d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2468 test_dot_2d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2469 test_dot_2d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2470 test_dot_2d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2471 test_dot_2d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2472 test_dot_2d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2473 test_dot_3d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2474 test_dot_3d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2475 test_dot_3d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2476 test_dot_3d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2477 test_grad (theano.tensor.tests.test_basic.t_dot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2478 test_arithmetic_cast (theano.tensor.tests.test_basic.test_arithmetic_cast) ... /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.inexact` or `np.floating` to a dtype is deprecated. The current result is `float64` which is not strictly correct. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.unsignedinteger` to a dtype is deprecated. The current result is `np.dtype(np.uint)` which is not strictly correct. Note that the result depends on the system. To ensure stable results you may want to use `np.uint64` or `np.uint32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.complex` to a dtype is deprecated. The current result is `complex128` which is not strictly correct. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.inexact` or `np.floating` to a dtype is deprecated. The current result is `float64` which is not strictly correct. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.unsignedinteger` to a dtype is deprecated. The current result is `np.dtype(np.uint)` which is not strictly correct. Note that the result depends on the system. To ensure stable results you may want to use `np.uint64` or `np.uint32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.complex` to a dtype is deprecated. The current result is `complex128` which is not strictly correct. dtype = np.dtype(cls) SKIP: Known issue withnumpy see #761 #2479 test_and (theano.tensor.tests.test_basic.test_bitwise) ... ok #2480 test_eye (theano.tensor.tests.test_basic.test_bitwise) ... ok #2481 test_inv (theano.tensor.tests.test_basic.test_bitwise) ... ok #2482 test_or (theano.tensor.tests.test_basic.test_bitwise) ... ok #2483 test_xor (theano.tensor.tests.test_basic.test_bitwise) ... ok #2484 test_broadcast_bigdim (theano.tensor.tests.test_basic.test_broadcast) ... ok #2485 test_infer_shape (theano.tensor.tests.test_basic.test_broadcast) ... ok #2486 test_patternbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok #2487 test_unbroadcast_addbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok #2488 test_allclose (theano.tensor.tests.test_basic.test_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2489 test_eq (theano.tensor.tests.test_basic.test_comparison) ... ok #2490 test_ge (theano.tensor.tests.test_basic.test_comparison) ... ok #2491 test_gt (theano.tensor.tests.test_basic.test_comparison) ... ok #2492 test_isclose (theano.tensor.tests.test_basic.test_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2493 test_le (theano.tensor.tests.test_basic.test_comparison) ... ok #2494 test_lt (theano.tensor.tests.test_basic.test_comparison) ... ok #2495 test_neq (theano.tensor.tests.test_basic.test_comparison) ... ok #2496 test_fail (theano.tensor.tests.test_basic.test_complex_mod) ... ok #2497 test_bias (theano.tensor.tests.test_basic.test_cov) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2498 test_core (theano.tensor.tests.test_basic.test_cov) ... ok #2499 test_ddof (theano.tensor.tests.test_basic.test_cov) ... ok #2500 test_rowvar (theano.tensor.tests.test_basic.test_cov) ... ok ---------------------------------------------------------------------- Ran 100 tests in 256.707s OK (SKIP=1) 55% done in 260.640s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2501 test_y (theano.tensor.tests.test_basic.test_cov) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2502 test_diag (theano.tensor.tests.test_basic.test_diag) ... ok #2503 test_diag_grad (theano.tensor.tests.test_basic.test_diag) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2504 test_infer_shape (theano.tensor.tests.test_basic.test_diag) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2505 test_1None_rval (theano.tensor.tests.test_basic.test_grad) ... ok #2506 test_1param (theano.tensor.tests.test_basic.test_grad) ... ok #2507 test_NNone_rval (theano.tensor.tests.test_basic.test_grad) ... ok #2508 test_Nparam (theano.tensor.tests.test_basic.test_grad) ... ok #2509 test_cost_is_scalar (theano.tensor.tests.test_basic.test_grad) ... ok #2510 test_grad_keep_type (theano.tensor.tests.test_basic.test_grad) ... ok #2511 test_zero_gradient_shape (theano.tensor.tests.test_basic.test_grad) ... ok #2512 test_reciprocal (theano.tensor.tests.test_basic.test_matinv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2513 test_flatnonzero (theano.tensor.tests.test_basic.test_nonzero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2514 test_nonzero (theano.tensor.tests.test_basic.test_nonzero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2515 test_nonzero_values (theano.tensor.tests.test_basic.test_nonzero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2516 test_dtype_equality (theano.tensor.tests.test_basic.test_numpy_assumptions) ... /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.inexact` or `np.floating` to a dtype is deprecated. The current result is `float64` which is not strictly correct. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.unsignedinteger` to a dtype is deprecated. The current result is `np.dtype(np.uint)` which is not strictly correct. Note that the result depends on the system. To ensure stable results you may want to use `np.uint64` or `np.uint32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:128: DeprecationWarning: Converting `np.complex` to a dtype is deprecated. The current result is `complex128` which is not strictly correct. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.inexact` or `np.floating` to a dtype is deprecated. The current result is `float64` which is not strictly correct. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.unsignedinteger` to a dtype is deprecated. The current result is `np.dtype(np.uint)` which is not strictly correct. Note that the result depends on the system. To ensure stable results you may want to use `np.uint64` or `np.uint32`. dtype = np.dtype(cls) /<>/theano/tensor/tests/test_basic.py:178: DeprecationWarning: Converting `np.complex` to a dtype is deprecated. The current result is `complex128` which is not strictly correct. dtype = np.dtype(cls) ok #2517 test_ndarray_copy (theano.tensor.tests.test_basic.test_numpy_assumptions) ... ok #2518 test_interface (theano.tensor.tests.test_basic.test_ptp) ... ok #2519 test_matrix_first_axis (theano.tensor.tests.test_basic.test_ptp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2520 test_matrix_neg_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2521 test_matrix_no_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2522 test_matrix_second_axis (theano.tensor.tests.test_basic.test_ptp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2523 test_scalar (theano.tensor.tests.test_basic.test_ptp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2524 test_vector (theano.tensor.tests.test_basic.test_ptp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2525 test_matrix (theano.tensor.tests.test_basic.test_size) ... ok #2526 test_scalar (theano.tensor.tests.test_basic.test_size) ... ok #2527 test_shared (theano.tensor.tests.test_basic.test_size) ... ok #2528 test_vector (theano.tensor.tests.test_basic.test_size) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2529 test0 (theano.tensor.tests.test_basic.test_tensordot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2530 test_broadcastable1 (theano.tensor.tests.test_basic.test_tensordot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2531 test_broadcastable2 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2532 test_raise_error (theano.tensor.tests.test_basic.test_tensordot) ... ok #2533 test_scalar0 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2534 test_scalar_axes (theano.tensor.tests.test_basic.test_tensordot) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2535 test_weird_valid_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok #2536 test_tri (theano.tensor.tests.test_basic.test_triangle) ... ok #2537 test_tril_triu (theano.tensor.tests.test_basic.test_triangle) ... ok #2538 theano.tensor.tests.test_basic.test_maximum_minimum_grad ... ok #2539 theano.tensor.tests.test_basic.test_py_c_match ... ok #2540 theano.tensor.tests.test_basic.test_verify_jv_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2541 theano.tensor.tests.test_basic.test_verify_iv_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2542 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 #2543 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 #2544 theano.tensor.tests.test_basic.test_batched_dot ... ok #2545 theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(0,) ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(1,) ... ok #2546 theano.tensor.tests.test_basic.test_batched_tensordot ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2547 theano.tensor.tests.test_basic.test_tensor_values_eq_approx ... ok #2548 theano.tensor.tests.test_basic.test_nan_inf_constant_signature ... ok #2549 theano.tensor.tests.test_basic.test_isnan ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2550 theano.tensor.tests.test_basic.test_basic_allclose ... ok #2551 theano.tensor.tests.test_basic.test_join_inplace ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2552 theano.tensor.tests.test_basic.test_join_oneInput ... ok #2553 theano.tensor.tests.test_basic.test_make_column_matrix_broadcastable ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2554 theano.tensor.tests.test_basic.test_flatten_outdimNone ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2555 theano.tensor.tests.test_basic.test_flatten_scalar ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2556 theano.tensor.tests.test_basic.test_flatten_ndim1 ... ok #2557 theano.tensor.tests.test_basic.test_flatten_ndim2 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2558 theano.tensor.tests.test_basic.test_flatten_ndim2_of_3 ... /<>/theano/tensor/basic.py:5280: UserWarning: flatten outdim parameter is deprecated, use ndim instead. warnings.warn( ok #2559 theano.tensor.tests.test_basic.test_flatten_broadcastable ... ok #2560 theano.tensor.tests.test_basic.test_flatten_ndim_invalid ... ok #2561 theano.tensor.tests.test_basic.test_is_flat ... ok #2562 theano.tensor.tests.test_basic.test_tile ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2563 theano.tensor.tests.test_basic.test_tile_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2564 theano.tensor.tests.test_basic.test_smallest_stack ... ok #2565 theano.tensor.tests.test_basic.test_smallest ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2566 theano.tensor.tests.test_basic.test_reshape_member_fn ... ok #2567 theano.tensor.tests.test_basic.test_var ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2568 theano.tensor.tests.test_basic.test_default ... ok #2569 theano.tensor.tests.test_basic.test_default_state ... ok #2570 theano.tensor.tests.test_basic.test_autocast ... /<>/theano/tensor/tests/test_basic.py:6849: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations assert (dvector() + np.float(1.1)).dtype == 'float64' /<>/theano/tensor/tests/test_basic.py:6852: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations assert (fvector() + np.float(1.1)).dtype == theano.config.floatX ok #2571 theano.tensor.tests.test_basic.test_len ... ok #2572 theano.tensor.tests.test_basic.test_mod ... ok #2573 theano.tensor.tests.test_basic.test_divmod ... ok #2574 theano.tensor.tests.test_basic.test_mod_compile ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2575 theano.tensor.tests.test_basic.test_unalign ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2576 theano.tensor.tests.test_basic.test_dimshuffle_duplicate ... ok #2577 theano.tensor.tests.test_basic.test_transpose ... ok #2578 theano.tensor.tests.test_basic.test_stacklists ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2579 theano.tensor.tests.test_basic.test_norm ... ok #2580 theano.tensor.tests.test_basic.test_allocempty ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2581 theano.tensor.tests.test_basic.test_symbolic_slice ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2582 test0 (theano.tensor.tests.test_blas.T_real_matrix) ... ok #2583 test_dot22 (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2584 test_dot22scalar (theano.tensor.tests.test_blas.TestBlasStrides) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2585 test_gemm (theano.tensor.tests.test_blas.TestBlasStrides) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2586 test_gemm_non_contiguous (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2587 test_gemv (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2588 test_ger_strides (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2589 test_a_strides (theano.tensor.tests.test_blas.TestDgemv) ... ok #2590 test_a_strides_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2591 test_default_beta_y (theano.tensor.tests.test_blas.TestDgemv) ... ok #2592 test_simple (theano.tensor.tests.test_blas.TestDgemv) ... ok #2593 test_simple_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2594 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestDgemv) ... ok #2595 test_x_stride (theano.tensor.tests.test_blas.TestDgemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2596 test_x_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2597 test_y_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok #2598 test_y_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2599 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, True, False) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 #2600 test_dot_mv (theano.tensor.tests.test_blas.TestGemv) ... ok ---------------------------------------------------------------------- Ran 1350 tests in 172.282s OK 57% done in 175.899s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #2601 test_dot_vm (theano.tensor.tests.test_blas.TestGemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2602 test_dot_vv (theano.tensor.tests.test_blas.TestGemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2603 test_gemv1 (theano.tensor.tests.test_blas.TestGemv) ... ok #2604 test_gemv2 (theano.tensor.tests.test_blas.TestGemv) ... ok #2605 test_gemv_broadcast (theano.tensor.tests.test_blas.TestGemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2606 test_gemv_dimensions (theano.tensor.tests.test_blas.TestGemv) ... ok #2607 test_A_plus_outer (theano.tensor.tests.test_blas.TestGer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2608 test_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2609 test_b_0_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2610 test_b_1_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2611 test_b_nonconst_does_not_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2612 test_b_other_does_not_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2613 test_c128_1_9 (theano.tensor.tests.test_blas.TestGer) ... ok #2614 test_c64_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2615 test_f32_0_0 (theano.tensor.tests.test_blas.TestGer) ... ok #2616 test_f32_0_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2617 test_f32_1_0 (theano.tensor.tests.test_blas.TestGer) ... ok #2618 test_f32_1_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2619 test_f32_1_2 (theano.tensor.tests.test_blas.TestGer) ... ok #2620 test_f32_4_4 (theano.tensor.tests.test_blas.TestGer) ... ok #2621 test_f32_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2622 test_f64_4_5 (theano.tensor.tests.test_blas.TestGer) ... ok #2623 test_inplace (theano.tensor.tests.test_blas.TestGer) ... ok #2624 test_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2625 test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2626 test_eq (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2627 test_hash (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2628 test_name (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2629 test_fails_for_mixed_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2630 test_fails_for_nonmatrix_A (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2631 test_fails_for_nonscalar_alpha (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2632 test_fails_for_nonvector_x_or_y (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2633 test_fails_on_invalid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2634 test_works_on_all_valid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2635 test_a_strides (theano.tensor.tests.test_blas.TestSgemv) ... ok #2636 test_a_strides_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2637 test_default_beta_y (theano.tensor.tests.test_blas.TestSgemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2638 test_simple (theano.tensor.tests.test_blas.TestSgemv) ... ok #2639 test_simple_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2640 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestSgemv) ... ok #2641 test_x_stride (theano.tensor.tests.test_blas.TestSgemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2642 test_x_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2643 test_y_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok #2644 test_y_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2645 test0 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2646 test1 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2647 test2 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2648 test3 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2649 test0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2650 test0a (theano.tensor.tests.test_blas.t_gemm) ... ok #2651 test10 (theano.tensor.tests.test_blas.t_gemm) ... ok #2652 test11 (theano.tensor.tests.test_blas.t_gemm) ... ok #2653 test12 (theano.tensor.tests.test_blas.t_gemm) ... ok #2654 test2 (theano.tensor.tests.test_blas.t_gemm) ... ok #2655 test4 (theano.tensor.tests.test_blas.t_gemm) ... ok #2656 test5 (theano.tensor.tests.test_blas.t_gemm) ... ok #2657 test6 (theano.tensor.tests.test_blas.t_gemm) ... ok #2658 test7 (theano.tensor.tests.test_blas.t_gemm) ... ok #2659 test8 (theano.tensor.tests.test_blas.t_gemm) ... ok #2660 test9 (theano.tensor.tests.test_blas.t_gemm) ... ok #2661 test_destroy_map0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2662 test_destroy_map1 (theano.tensor.tests.test_blas.t_gemm) ... ok #2663 test_destroy_map2 (theano.tensor.tests.test_blas.t_gemm) ... ok #2664 test_destroy_map3 (theano.tensor.tests.test_blas.t_gemm) ... ok #2665 test_destroy_map4 (theano.tensor.tests.test_blas.t_gemm) ... ok #2666 test_factorised_scalar (theano.tensor.tests.test_blas.t_gemm) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2667 test_non_contiguous (theano.tensor.tests.test_blas.t_gemm) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2668 test_shape_0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2669 test_transposes (theano.tensor.tests.test_blas.t_gemm) ... ok #2670 test_dot22 (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2671 test_dot22scalar (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2672 test_gemm (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2673 test_gemv (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2674 test_ger (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2675 theano.tensor.tests.test_blas.test_dot_eq ... ok #2676 theano.tensor.tests.test_blas.test_res_is_a ... ok #2677 theano.tensor.tests.test_blas.test_gemm_opt0 ... ok #2678 theano.tensor.tests.test_blas.test_gemm_opt_double_gemm ... ok #2679 theano.tensor.tests.test_blas.test_gemm_canonicalize ... ok #2680 theano.tensor.tests.test_blas.test_gemm_factor ... ok #2681 theano.tensor.tests.test_blas.test_upcasting_scalar_nogemm ... ok #2682 theano.tensor.tests.test_blas.test_gemm_nested ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2683 theano.tensor.tests.test_blas.test_gemm_opt_wishlist ... ok #2684 theano.tensor.tests.test_blas.test_gemm_with_vector ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2685 theano.tensor.tests.test_blas.test_gemm_opt_vector_stuff ... ok #2686 theano.tensor.tests.test_blas.test_gemm_unrolled ... ok #2687 theano.tensor.tests.test_blas.test_inplace0 ... ok #2688 theano.tensor.tests.test_blas.test_inplace1 ... ok #2689 theano.tensor.tests.test_blas.test_dot22 ... ok #2690 theano.tensor.tests.test_blas.test_dot22scalar ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2691 theano.tensor.tests.test_blas.test_dot22scalar_cast ... ok #2692 theano.tensor.tests.test_blas.test_local_dot22_to_dot22scalar ... ok #2693 theano.tensor.tests.test_blas.test_dot_w_self ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2694 test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2695 test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStrides) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2696 test_gemm (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2697 test_gemm_non_contiguous (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2698 test_gemv (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2699 test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2700 test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok ---------------------------------------------------------------------- Ran 100 tests in 77.477s OK 60% done in 81.853s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): /<>/theano/tensor/tests/test_complex.py:54: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_complex_grads(self): /<>/theano/tensor/tests/test_complex.py:64: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_mul_mixed0(self): /<>/theano/tensor/tests/test_complex.py:80: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_mul_mixed1(self): /<>/theano/tensor/tests/test_complex.py:96: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_mul_mixed(self): /<>/theano/tensor/tests/test_complex.py:113: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_polar_grads(self): /<>/theano/tensor/tests/test_complex.py:123: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_abs_grad(self): #2701 test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2702 test_gemm (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2703 test_gemm_non_contiguous (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2704 test_gemv (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2705 test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2706 test_force_gemv_init (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2707 test_gemv1 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2708 test_gemv_dimensions (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2709 test_multiple_inplace (theano.tensor.tests.test_blas_c.TestCGemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2710 test_nan_beta_0 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2711 test_optimizations_mv (theano.tensor.tests.test_blas_c.TestCGemv) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2712 test_optimizations_vm (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2713 test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2714 test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2715 test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2716 test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2717 test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2718 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2719 test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2720 test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2721 test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2722 test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2723 test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2724 test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2725 test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2726 test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2727 test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2728 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2729 test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2730 test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2731 test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2732 test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2733 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 #2734 test_A_plus_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2735 test_A_plus_scaled_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2736 test_eq (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2737 test_hash (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2738 test_int_fails (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2739 test_optimization_pipeline (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2740 test_optimization_pipeline_float (theano.tensor.tests.test_blas_c.TestCGer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2741 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) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars 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 #2742 test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2743 test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2744 test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2745 test_gemm_non_contiguous (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2746 test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2747 test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2748 test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2749 test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2750 test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2751 test_gemm_non_contiguous (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2752 test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2753 test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2754 test_A_plus_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2755 test_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2756 test_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2757 test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2758 test_0 (theano.tensor.tests.test_casting.test_casting) ... ok #2759 test_basic (theano.tensor.tests.test_casting.test_casting) ... ok #2760 test_bug_complext_10_august_09 (theano.tensor.tests.test_casting.test_casting) ... ok #2761 test_convert_to_complex (theano.tensor.tests.test_casting.test_casting) ... ok #2762 test_illegal (theano.tensor.tests.test_casting.test_casting) ... ok #2763 test0 (theano.tensor.tests.test_complex.TestRealImag) ... /<>/theano/tensor/tests/test_complex.py:17: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations xval = np.asarray(list(np.complex(rng.randn(), rng.randn()) ok #2764 test_abs_grad (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_abs_grad: Complex grads not enabled, see #178 #2765 test_cast (theano.tensor.tests.test_complex.TestRealImag) ... ok #2766 test_complex (theano.tensor.tests.test_complex.TestRealImag) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:3712: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations return np.complex(x, y) ok #2767 test_complex_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_complex_grads: Complex grads not enabled, see #178 #2768 test_mul_mixed (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed: Complex grads not enabled, see #178 #2769 test_mul_mixed0 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed0: Complex grads not enabled, see #178 #2770 test_mul_mixed1 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed1: Complex grads not enabled, see #178 #2771 test_on_real_input (theano.tensor.tests.test_complex.TestRealImag) ... ok #2772 test_polar_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_polar_grads: Complex grads not enabled, see #178 #2773 test_mean_custom_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2774 test_mean_default_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2775 test_mean_precision (theano.tensor.tests.test_elemwise.T_mean_dtype) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2776 test_prod_without_zeros_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2777 test_prod_without_zeros_custom_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2778 test_prod_without_zeros_default_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2779 test_prod_without_zeros_default_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2780 test_reduce_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2781 test_reduce_custom_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2782 test_reduce_default_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2783 test_reduce_default_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2784 test_reduce_precision (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2785 test_all_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2786 test_any_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2787 test_elemwise_grad_bool (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2788 test_infer_shape (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2789 test_input_dimensions_overflow (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2790 test_c (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2791 test_c_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2792 test_fill (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2793 test_fill_grad (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2794 test_fill_var (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2795 test_perform (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2796 test_perform_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2797 test_same_inputs (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2798 test_weird_strides (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2799 test_c (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2800 test_c_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok ---------------------------------------------------------------------- Ran 242 tests in 885.121s OK (SKIP=6) 62% done in 888.937s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_fourier.py:44: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_gradient(self): #2801 test_c_noopt (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2802 test_infer_shape (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2803 test_perform (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2804 test_perform_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2805 test_perform_noopt (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2806 test_c_or_py (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2807 test_infer_shape (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2808 test_perform (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2809 test_too_big_rank (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2810 test_isinf (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok #2811 test_isnan (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok #2812 test_mul_without_zeros_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2813 test_other_grad_tests (theano.tensor.tests.test_elemwise.test_Prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2814 test_pickle_bug (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2815 test_prod_no_zeros_in_input (theano.tensor.tests.test_elemwise.test_Prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2816 test_prod_without_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2817 test_prod_without_zeros_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2818 test_verify_grad (theano.tensor.tests.test_elemwise.test_Prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2819 test_verify_grad_with_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2820 test_argmax_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2821 test_max_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2822 test_mean_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2823 test_min_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2824 test_sum_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2825 test_var_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2826 theano.tensor.tests.test_elemwise.test_gt_grad ... ok #2827 theano.tensor.tests.test_elemwise.test_clip_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2828 theano.tensor.tests.test_elemwise.test_grad_useless_sum ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2829 theano.tensor.tests.test_elemwise.test_elemwise_grad_broadcast ... ok #2830 theano.tensor.tests.test_elemwise.test_clip_grad_int ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2831 theano.tensor.tests.test_elemwise.test_not_implemented_elemwise_grad ... ok #2832 test_op (theano.tensor.tests.test_extra_ops.CompressTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2833 test_grad (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2834 test_infer_shape (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2835 test_op (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2836 test_var_interface (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2837 test_infer_shape (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok #2838 test_perform (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok #2839 test_bincountFn (theano.tensor.tests.test_extra_ops.TestBinCount) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2840 test_cum_op (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2841 test_grad (theano.tensor.tests.test_extra_ops.TestCumOp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2842 test_infer_shape (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2843 test_diffOp (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2844 test_grad (theano.tensor.tests.test_extra_ops.TestDiffOp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2845 test_infer_shape (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2846 test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2847 test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2848 test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2849 test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2850 test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2851 test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2852 test_broadcastable (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2853 test_grad (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2854 test_infer_shape (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2855 test_repeatOp (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2856 test_grad (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2857 test_infer_shape (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2858 test_searchsortedOp_on_float_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2859 test_searchsortedOp_on_int_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2860 test_searchsortedOp_on_no_1d_inp (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2861 test_searchsortedOp_on_right_side (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2862 test_searchsortedOp_on_sorted_input (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2863 test_searchsortedOp_wrong_side_kwd (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2864 test_basic_matrix (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2865 test_basic_vector (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2866 test_infer_shape_matrix (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2867 test_infer_shape_vector (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2868 test_basic_matrix (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok #2869 test_basic_vector (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok #2870 test_infer_shape_matrix (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok #2871 test_infer_shape_vector (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok #2872 test_op (theano.tensor.tests.test_extra_ops.test_Unique_axis) ... ok #2873 test_ravel_multi_index (theano.tensor.tests.test_extra_ops.test_ravel_multi_index) ... ok #2874 test_unravel_index (theano.tensor.tests.test_extra_ops.test_unravel_index) ... ok #2875 theano.tensor.tests.test_extra_ops.test_cpu_contiguous ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2876 theano.tensor.tests.test_extra_ops.test_to_one_hot ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2877 test_1Drfft (theano.tensor.tests.test_fft.TestFFT) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2878 test_grad_rfft (theano.tensor.tests.test_fft.TestFFT) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2879 test_irfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2880 test_norm_rfft (theano.tensor.tests.test_fft.TestFFT) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2881 test_params (theano.tensor.tests.test_fft.TestFFT) ... ok #2882 test_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2883 test_rfft_float (theano.tensor.tests.test_fft.TestFFT) ... ok #2884 test_gradient (theano.tensor.tests.test_fourier.TestFourier) ... SKIP: Skipping test: test_gradient: Complex grads not enabled, see #178 #2885 test_infer_shape (theano.tensor.tests.test_fourier.TestFourier) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2886 test_perform (theano.tensor.tests.test_fourier.TestFourier) ... ok #2887 theano.tensor.tests.test_gc.test_no_reuse ... ok #2888 theano.tensor.tests.test_gc.test_gc_never_pickles_temporaries ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2889 theano.tensor.tests.test_gc.test_merge_opt_runtime ... ok #2890 test_grad_inc_set (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2891 test_simple_2d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2892 test_simple_3d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2893 test_wrong_broadcast (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2894 test_wrong_dims (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2895 test0 (theano.tensor.tests.test_io.T_load_tensor) ... ok #2896 test1 (theano.tensor.tests.test_io.T_load_tensor) ... ok #2897 test_invalid_modes (theano.tensor.tests.test_io.T_load_tensor) ... ok #2898 test_memmap (theano.tensor.tests.test_io.T_load_tensor) ... ok #2899 test_keepdims (theano.tensor.tests.test_keepdims.TestKeepDims) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2900 test_norm (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok ---------------------------------------------------------------------- Ran 100 tests in 252.942s OK (SKIP=1) 64% done in 256.712s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #2901 theano.tensor.tests.test_merge.test_merge_with_weird_eq ... ok #2902 theano.tensor.tests.test_misc.test_bug_2009_06_02_trac_387 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2903 theano.tensor.tests.test_misc.test_bug_2009_07_17_borrowed_output ... ok #2904 theano.tensor.tests.test_misc.test_deepcopied_type_filter ... ok #2905 theano.tensor.tests.test_mpi.test_send ... ok #2906 theano.tensor.tests.test_mpi.test_mpi_roundtrip ... SKIP: MPI not enabled #2907 theano.tensor.tests.test_mpi.test_mpi_send_wait_cmp ... ok #2908 theano.tensor.tests.test_mpi.test_mpi_schedule ... ok #2909 theano.tensor.tests.test_mpi.test_can_make_function ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2910 theano.tensor.tests.test_mpi.test_mpi_tag_ordering ... ok #2911 theano.tensor.tests.test_mpi.test_recv ... ok #2912 test_non_square_matrix (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok #2913 test_numpy_compare (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok #2914 test_non_tensorial_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2915 test_numpy_compare (theano.tensor.tests.test_nlinalg.T_NormTests) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2916 test_tensor_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2917 test_wrong_type_of_ord_for_matrix (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2918 test_wrong_type_of_ord_for_vector (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2919 test_correct_solution (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2920 test_wrong_coefficient_matrix (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2921 test_wrong_rcond_dimension (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2922 test_eval (theano.tensor.tests.test_nlinalg.test_Eig) ... ok #2923 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eig) ... ok #2924 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2925 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2926 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2927 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2928 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2929 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2930 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2931 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2932 test_infer_shape (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok #2933 test_inverse_correctness (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok #2934 test_svd (theano.tensor.tests.test_nlinalg.test_SVD) ... ok #2935 test_svd_infer_shape (theano.tensor.tests.test_nlinalg.test_SVD) ... ok #2936 test_eval (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok #2937 test_infer_shape (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok #2938 test_alloc_diag (theano.tensor.tests.test_nlinalg.test_diag) ... /<>/theano/tensor/nlinalg.py:173: DeprecationWarning: DeprecationWarning: theano.tensor.nlinalg.AllocDiagis deprecated, please use theano.tensor.AllocDiaginstead. warnings.warn("DeprecationWarning: theano.tensor.nlinalg.AllocDiag" ok #2939 test_alloc_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2940 test_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2941 test_extract_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2942 test_extract_diag_empty (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2943 test_extract_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2944 theano.tensor.tests.test_nlinalg.test_pseudoinverse_correctness ... ok #2945 theano.tensor.tests.test_nlinalg.test_pseudoinverse_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2946 theano.tensor.tests.test_nlinalg.test_matrix_dot ... ok #2947 theano.tensor.tests.test_nlinalg.test_qr_modes ... ok #2948 theano.tensor.tests.test_nlinalg.test_tensorsolve ... ok #2949 theano.tensor.tests.test_nlinalg.test_inverse_singular ... ok #2950 theano.tensor.tests.test_nlinalg.test_inverse_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2951 theano.tensor.tests.test_nlinalg.test_det ... ok #2952 theano.tensor.tests.test_nlinalg.test_det_grad ... ok #2953 theano.tensor.tests.test_nlinalg.test_det_shape ... ok #2954 theano.tensor.tests.test_nlinalg.test_trace ... ok #2955 test_local_useless_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2956 test_rebroadcast_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok #2957 test_local_useless_tile (theano.tensor.tests.test_opt.T_Tile) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2958 test_consecutive (theano.tensor.tests.test_opt.T_cast_cast) ... ok #2959 test_upcast (theano.tensor.tests.test_opt.T_cast_cast) ... ok #2960 test (theano.tensor.tests.test_opt.T_func_inverse) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2961 test_local_erf_minus_one (theano.tensor.tests.test_opt.T_local_erf) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2962 test_local_one_minus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok #2963 test_local_one_plus_erf (theano.tensor.tests.test_opt.T_local_erf) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2964 test_local_erf_neg_minus_one (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2965 test_local_grad_log_erfc_neg (theano.tensor.tests.test_opt.T_local_erfc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2966 test_local_log_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2967 test_local_one_minus_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2968 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2969 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2970 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2971 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2972 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2973 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2974 test_local_reduce_broadcast_all_0 (theano.tensor.tests.test_opt.T_local_reduce) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2975 test_local_reduce_broadcast_all_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2976 test_local_reduce_broadcast_some_0 (theano.tensor.tests.test_opt.T_local_reduce) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2977 test_local_reduce_broadcast_some_1 (theano.tensor.tests.test_opt.T_local_reduce) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2978 test_local_reduce_join (theano.tensor.tests.test_opt.T_local_reduce) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2979 test_local_sum_prod_all_to_none (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2980 test_local_sum_prod_alloc (theano.tensor.tests.test_opt.T_local_sum_prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2981 test_local_sum_prod_mul_by_scalar (theano.tensor.tests.test_opt.T_local_sum_prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2982 test_local_sum_prod_mul_by_scalar_stack_trace (theano.tensor.tests.test_opt.T_local_sum_prod) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2983 test_local_sum_sum_dtype (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2984 test_local_sum_sum_int8 (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2985 test_local_sum_sum_prod_prod (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2986 test_local_prod_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2987 test_local_sum_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok #2988 test_local_div_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2989 test_local_mul_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2990 test_add (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2991 test_eq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2992 test_identity (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2993 test_mul (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2994 test_neq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2995 test_local_useless_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok #2996 test_nested_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok #2997 test1 (theano.tensor.tests.test_opt.TestIntDivByOne) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2998 test2 (theano.tensor.tests.test_opt.TestIntDivByOne) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #2999 test3 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #3000 test_infer_shape (theano.tensor.tests.test_opt.TestMakeVector) ... ok ---------------------------------------------------------------------- Ran 100 tests in 145.270s OK (SKIP=1) 66% done in 149.171s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3001 test_make_vector (theano.tensor.tests.test_opt.TestMakeVector) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3002 test_scalar (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #3003 test_vector (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #3004 test_vector2 (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #3005 test_vector_dim (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #3006 test_vector_dim_err (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #3007 test_infer_shape (theano.tensor.tests.test_opt.TestShape_i) ... ok #3008 test_perform (theano.tensor.tests.test_opt.TestShape_i) ... ok #3009 test_local_reshape (theano.tensor.tests.test_opt.Test_Reshape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3010 test_advancedincsubtensor1_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3011 test_advancedincsubtensor1_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3012 test_advancedincsubtensor1_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3013 test_advancedincsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3014 test_advancedincsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3015 test_advancedincsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3016 test_dot_allocs_0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3017 test_incsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3018 test_incsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3019 test_incsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3020 test_incsubtensor_x_zeros (theano.tensor.tests.test_opt.Test_alloc_zero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3021 test_setsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3022 test_setsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3023 test_setsubtensor_allocs1t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3024 test_setsubtensor_allocs2 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3025 test_matrix_col (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3026 test_matrix_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3027 test_row_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3028 test0 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3029 test1 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3030 test2 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3031 test_useless_alloc_with_shape_one (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3032 test_error (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3033 test_multi_input_single_alloc (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3034 test_remove_alloc_w_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3035 test_remove_alloc_wo_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3036 test_1 (theano.tensor.tests.test_opt.Test_local_reshape_to_dimshuffle) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3037 test_and (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3038 test_and_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3039 test_equality_shapes (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3040 test_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3041 test_local_useless_elemwise_comparison (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3042 test_or (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3043 test_or_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3044 test_shape_add_inequality (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3045 test_shape_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3046 test_stacktrace (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3047 test_xor (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3048 test_advanced_inc_subtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok #3049 test_advanced_inc_subtensor1 (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3050 test_incsubtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3051 test_0 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3052 test_1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3053 test_2 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3054 test_m1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3055 test_basic (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3056 test_broadcasted (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3057 test_different_dtypes (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3058 test_fewer_dims (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3059 test_multiple_idx (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3060 test_not_applied (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3061 test0 (theano.tensor.tests.test_opt.test_assert) ... ok #3062 test_infer_shape (theano.tensor.tests.test_opt.test_assert) ... ok #3063 test_local_remove_all_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok #3064 test_local_remove_useless_assert1 (theano.tensor.tests.test_opt.test_assert) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3065 test_local_remove_useless_assert3 (theano.tensor.tests.test_opt.test_assert) ... ok #3066 test_test_local_remove_useless_assert2 (theano.tensor.tests.test_opt.test_assert) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3067 test_abs_mul_div (theano.tensor.tests.test_opt.test_canonize) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3068 test_canonicalize_nan (theano.tensor.tests.test_opt.test_canonize) ... ok #3069 test_dont_merge_if_multiple_client (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Not implemented #3070 test_elemwise_multiple_inputs_optimisation (theano.tensor.tests.test_opt.test_canonize) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3071 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. #3072 test_muldiv (theano.tensor.tests.test_opt.test_canonize) ... ok #3073 test_multiple_case (theano.tensor.tests.test_opt.test_canonize) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3074 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. #3075 test_dimshuffle_on_broadcastable (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3076 test_double_transpose (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3077 test_elim3 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3078 test_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3079 test_merge2 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3080 test_recursive_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3081 test_useless_dimshuffle (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3082 test_elemwise_fusion (theano.tensor.tests.test_opt.test_fusion) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3083 test_elemwise_fusion_4d (theano.tensor.tests.test_opt.test_fusion) ... ok #3084 test_fusion_35inputs (theano.tensor.tests.test_opt.test_fusion) ... ok #3085 test_fusion_inplace (theano.tensor.tests.test_opt.test_fusion) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3086 test_pickle_big_fusion (theano.tensor.tests.test_opt.test_fusion) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3087 test_kording_bug (theano.tensor.tests.test_opt.test_greedy_distribute) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3088 test_main (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok #3089 test0 (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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( /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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( /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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 #3090 test_assert (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok #3091 test_stack_trace (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3092 test_elemwise (theano.tensor.tests.test_opt.test_local_merge_switch_same_cond) ... /<>/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 #3093 test0 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3094 test0b (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3095 test1 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3096 test2 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3097 test3 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3098 test4 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3099 test5 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3100 test6 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok ---------------------------------------------------------------------- Ran 100 tests in 191.231s OK (SKIP=3) 69% done in 196.968s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3101 test7 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3102 test_AdvancedSubtensor1_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3103 test_scalar_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3104 test_slice_idx_step (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3105 test_slice_idx_stop (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3106 test_stack_trace (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3107 test_const (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3108 test_const2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3109 test_const3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3110 test_const4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3111 test_const5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3112 test_const6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3113 test_const_general (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3114 test_none_index (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3115 test_none_slice (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3116 test_scalar (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3117 test_scalar2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3118 test_scalar3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3119 test_scalar4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3120 test_scalar5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3121 test_scalar6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3122 test_broadcast1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3123 test_broadcast2 (theano.tensor.tests.test_opt.test_local_useless_switch) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3124 test_broadcast3 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3125 test_const0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3126 test_const1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3127 test_left_is_right (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3128 test_shape_le_0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3129 test0 (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3130 test_broadcasted_dims (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3131 test_constant (theano.tensor.tests.test_opt.test_shapeoptimizer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3132 test_constant_merge (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3133 test_local_track_shape_i (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3134 test_no_shapeopt (theano.tensor.tests.test_opt.test_shapeoptimizer) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3135 theano.tensor.tests.test_opt.test_local_useless_dimshuffle_in_reshape ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3136 theano.tensor.tests.test_opt.test_add_canonizer_problem0 ... ok #3137 theano.tensor.tests.test_opt.test_local_merge_abs ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3138 theano.tensor.tests.test_opt.test_merge_abs_bugfix ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3139 theano.tensor.tests.test_opt.test_mixeddiv ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3140 theano.tensor.tests.test_opt.test_const_type_in_mul_canonizer ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3141 theano.tensor.tests.test_opt.test_cast_in_mul_canonizer ... ok #3142 theano.tensor.tests.test_opt.test_log1p ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3143 theano.tensor.tests.test_opt.test_log_add ... SKIP: log(add(exp)) is not stabilized when adding more than 2 elements, see #623 #3144 theano.tensor.tests.test_opt.test_local_useless_slice ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3145 theano.tensor.tests.test_opt.test_local_useless_inc_subtensor ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3146 theano.tensor.tests.test_opt.test_local_useless_subtensor ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3147 theano.tensor.tests.test_opt.test_local_subtensor_remove_broadcastable_index ... ok #3148 theano.tensor.tests.test_opt.test_local_IncSubtensor_serialize ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3149 theano.tensor.tests.test_opt.test_local_set_to_inc_subtensor ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3150 theano.tensor.tests.test_opt.test_local_subtensor_of_dot ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3151 theano.tensor.tests.test_opt.test_local_subtensor_of_alloc ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/scalar/basic.py:74: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) return np.zeros((), dtype=dt) ok #3152 theano.tensor.tests.test_opt.test_local_fill_useless ... ok #3153 theano.tensor.tests.test_opt.test_local_elemwise_sub_zeros ... ok #3154 theano.tensor.tests.test_opt.test_local_mul_specialize ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3155 theano.tensor.tests.test_opt.test_local_pow_specialize ... ok #3156 theano.tensor.tests.test_opt.test_local_pow_specialize_device_more_aggressive_on_cpu ... ok #3157 theano.tensor.tests.test_opt.test_constant_folding ... ok #3158 theano.tensor.tests.test_opt.test_constant_get_stabilized ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars SKIP: Theano optimizes constant before stabilization. This breaks stabilization optimization in some cases. See #504. #3159 theano.tensor.tests.test_opt.test_local_join_1 ... ok #3160 theano.tensor.tests.test_opt.test_local_join_empty ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3161 theano.tensor.tests.test_opt.test_local_join_make_vector ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3162 theano.tensor.tests.test_opt.test_local_add_specialize ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3163 theano.tensor.tests.test_opt.test_local_tensor_scalar_tensor ... ok #3164 theano.tensor.tests.test_opt.test_local_scalar_tensor_scalar ... ok #3165 theano.tensor.tests.test_opt.test_local_div_to_inv ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3166 theano.tensor.tests.test_opt.test_local_useless_split ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3167 theano.tensor.tests.test_opt.test_local_flatten_lift ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3168 theano.tensor.tests.test_opt.test_local_reshape_lift ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3169 theano.tensor.tests.test_opt.test_local_upcast_elemwise_constant_inputs ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3170 theano.tensor.tests.test_opt.test_assert_op_gradient ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3171 theano.tensor.tests.test_opt.test_local_zero_div ... /<>/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) /<>/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) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3172 theano.tensor.tests.test_opt.test_local_sumsqr2dot ... ok #3173 theano.tensor.tests.test_opt.test_local_expm1 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3174 theano.tensor.tests.test_opt.test_local_merge_alloc ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3175 theano.tensor.tests.test_opt.test_local_useless_alloc ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3176 theano.tensor.tests.test_opt.test_local_log_sum_exp1 ... ok #3177 theano.tensor.tests.test_opt.test_local_log_sum_exp2 ... ok #3178 theano.tensor.tests.test_opt.test_local_log_sum_exp3 ... ok #3179 test_optimization (theano.tensor.tests.test_opt_uncanonicalize.T_max_and_argmax) ... ok #3180 test_optimization_max (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3181 test_optimization_min (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok #3182 theano.tensor.tests.test_opt_uncanonicalize.test_local_alloc_dimshuffle ... ok #3183 theano.tensor.tests.test_opt_uncanonicalize.test_local_reshape_dimshuffle ... ok #3184 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_alloc ... ok #3185 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_subtensor ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3186 test_args (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3187 test_basic_usage (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3188 test_binomial (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3189 test_binomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3190 test_broadcast_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3191 test_choice (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3192 test_default_shape (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3193 test_dtype (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3194 test_dtype_normal_uniform_687 (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3195 test_infer_shape (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3196 test_inplace_norun (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3197 test_inplace_optimization (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3198 test_mixed_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3199 test_mixed_shape_bcastable (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3200 test_multinomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok ---------------------------------------------------------------------- Ran 100 tests in 274.179s OK (SKIP=2) 71% done in 278.178s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3201 test_multinomial_tensor3_a (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3202 test_multinomial_tensor3_b (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3203 test_multinomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3204 test_no_inplace (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3205 test_normal (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3206 test_normal_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3207 test_permutation (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3208 test_permutation_helper (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3209 test_pkl (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3210 test_poisson (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3211 test_random_function_ndim (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3212 test_random_function_ndim_added (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3213 test_random_function_noshape_args (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3214 test_random_function_noshape_noargs (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3215 test_random_integers (theano.tensor.tests.test_raw_random.T_random_function) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3216 test_random_integers_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3217 test_symbolic_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3218 test_uniform (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3219 test_uniform_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3220 test_vector_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3221 test_basics (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3222 test_binomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3223 test_broadcast_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3224 test_choice (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3225 test_default_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3226 test_default_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3227 test_default_updates (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3228 test_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3229 test_get_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3230 test_get_value_internal_type (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3231 test_getitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3232 test_mixed_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3233 test_mixed_shape_bcastable (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3234 test_multinomial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3235 test_multinomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3236 test_multiple_rng_aliasing (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3237 test_ndim (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3238 test_normal (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3239 test_normal_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3240 test_permutation (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3241 test_poisson (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3242 test_random_integers (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3243 test_random_integers_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3244 test_random_state_transfer (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3245 test_seed_fn (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3246 test_set_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3247 test_setitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3248 test_shared_constructor_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3249 test_shuffle_row_elements (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3250 test_symbolic_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3251 test_tutorial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3252 test_uniform (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3253 test_uniform_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3254 test_vector_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3255 test_get_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3256 test_inplace_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3257 test_return_internal_type (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3258 test_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3259 test_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3260 test_shape_i (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3261 test_shared_do_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3262 test_shared_dont_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3263 test_specify_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3264 test_specify_shape_inplace (theano.tensor.tests.test_sharedvar.test_shared_options) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3265 test_specify_shape_partial (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3266 test_values_eq (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3267 theano.tensor.tests.test_sharedvar.test_scalar_shared_options ... ok #3268 test_numpy_2d (theano.tensor.tests.test_slinalg.TestKron) ... ok #3269 test_perform (theano.tensor.tests.test_slinalg.TestKron) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3270 test_infer_shape (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3271 test_solve_correctness (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3272 test_solve_dtype (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3273 test_solve_grad (theano.tensor.tests.test_slinalg.test_Solve) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3274 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 #3275 theano.tensor.tests.test_slinalg.test_cholesky_indef ... ok #3276 theano.tensor.tests.test_slinalg.test_cholesky_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok #3277 theano.tensor.tests.test_slinalg.test_cholesky_grad_indef ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars #3278 theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok #3279 theano.tensor.tests.test_slinalg.test_eigvalsh ... ok #3280 theano.tensor.tests.test_slinalg.test_eigvalsh_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3281 theano.tensor.tests.test_slinalg.test_expm ... ok #3282 theano.tensor.tests.test_slinalg.test_expm_grad_1 ... ok #3283 theano.tensor.tests.test_slinalg.test_expm_grad_2 ... ok #3284 theano.tensor.tests.test_slinalg.test_expm_grad_3 ... ok #3285 test_sort (theano.tensor.tests.test_sort.SortInferShapeTester) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #3286 test_argtopk_1d_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3287 test_argtopk_1d_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3288 test_argtopk_1d_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3289 test_argtopk_1d_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3290 test_argtopk_1d_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3291 test_argtopk_1d_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3292 test_argtopk_1d_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3293 test_argtopk_1d_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3294 test_argtopk_1d_08 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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 #3295 test_argtopk_1d_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3296 test_argtopk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3297 test_argtopk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3298 test_argtopk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3299 test_argtopk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3300 test_argtopk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 122 tests in 32.575s OK 73% done in 36.509s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3301 test_argtopk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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 #3302 test_argtopk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3303 test_argtopk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3304 test_argtopk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3305 test_argtopk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3306 test_argtopk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3307 test_argtopk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3308 test_argtopk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3309 test_argtopk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3310 test_argtopk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3311 test_argtopk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3312 test_argtopk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3313 test_argtopk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3314 test_argtopk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3315 test_argtopk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3316 test_argtopk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3317 test_argtopk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3318 test_argtopk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3319 test_argtopk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3320 test_argtopk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3321 test_argtopk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3322 test_argtopk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3323 test_argtopk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3324 test_argtopk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3325 test_argtopk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3326 test_argtopk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3327 test_argtopk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3328 test_argtopk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3329 test_argtopk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3330 test_argtopk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3331 test_argtopk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3332 test_argtopk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3333 test_argtopk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3334 test_argtopk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3335 test_argtopk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3336 test_argtopk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3337 test_argtopk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3338 test_argtopk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3339 test_argtopk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3340 test_argtopk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3341 test_argtopk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3342 test_argtopk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3343 test_argtopk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3344 test_argtopk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3345 test_argtopk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3346 test_argtopk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3347 test_argtopk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3348 test_argtopk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3349 test_argtopk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3350 test_argtopk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3351 test_argtopk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3352 test_argtopk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3353 test_argtopk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3354 test_argtopk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3355 test_argtopk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3356 test_argtopk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3357 test_argtopk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3358 test_argtopk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3359 test_argtopk_1d_collision_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3360 test_argtopk_1d_collision_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3361 test_argtopk_1d_collision_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3362 test_argtopk_1d_collision_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3363 test_argtopk_1d_collision_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3364 test_argtopk_1d_collision_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3365 test_argtopk_1d_collision_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3366 test_argtopk_1d_collision_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3367 test_argtopk_1d_collision_08 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3368 test_argtopk_1d_collision_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3369 test_argtopk_1d_collision_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3370 test_argtopk_1d_collision_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3371 test_argtopk_1d_collision_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3372 test_argtopk_1d_collision_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3373 test_argtopk_1d_collision_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3374 test_argtopk_1d_collision_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3375 test_argtopk_1d_collision_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3376 test_argtopk_1d_collision_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3377 test_argtopk_1d_collision_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3378 test_argtopk_nd_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3379 test_argtopk_nd_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3380 test_argtopk_nd_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3381 test_argtopk_nd_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3382 test_argtopk_nd_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3383 test_argtopk_nd_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3384 test_argtopk_nd_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3385 test_argtopk_nd_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3386 test_argtopk_nd_08 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3387 test_argtopk_nd_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3388 test_argtopk_nd_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3389 test_argtopk_nd_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3390 test_argtopk_nd_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3391 test_argtopk_nd_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3392 test_argtopk_nd_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3393 test_argtopk_nd_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3394 test_argtopk_nd_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3395 test_argtopk_nd_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3396 test_argtopk_nd_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3397 test_argtopk_nd_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3398 test_argtopk_nd_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3399 test_argtopk_nd_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3400 test_argtopk_nd_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 6.218s OK 75% done in 10.015s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3401 test_argtopk_nd_23 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3403 test_argtopk_nd_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3404 test_argtopk_nd_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3405 test_argtopk_nd_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3406 test_argtopk_nd_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3407 test_argtopk_nd_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3408 test_argtopk_nd_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3409 test_argtopk_nd_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3410 test_argtopk_nd_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3411 test_argtopk_nd_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3412 test_argtopk_nd_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3413 test_argtopk_nd_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3414 test_argtopk_nd_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3415 test_argtopk_nd_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3416 test_argtopk_nd_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3417 test_argtopk_nd_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3418 test_argtopk_nd_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3419 test_argtopk_nd_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3420 test_argtopk_nd_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3421 test_argtopk_nd_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3422 test_argtopk_nd_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3423 test_argtopk_nd_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3424 test_argtopk_nd_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3425 test_argtopk_nd_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3426 test_argtopk_sanity_000_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3427 test_argtopk_sanity_001_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3428 test_argtopk_sanity_002_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3429 test_argtopk_sanity_003_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3430 test_argtopk_sanity_004_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3431 test_argtopk_sanity_005_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3432 test_argtopk_sanity_006_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3433 test_argtopk_sanity_007_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3434 test_argtopk_sanity_008_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3435 test_argtopk_sanity_009_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3436 test_argtopk_sanity_010_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3437 test_argtopk_sanity_011_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3438 test_argtopk_sanity_012_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3439 test_argtopk_sanity_013_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3440 test_argtopk_sanity_014_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3441 test_argtopk_sanity_015_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3442 test_argtopk_sanity_016_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3443 test_argtopk_sanity_017_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3444 test_argtopk_sanity_018_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3445 test_argtopk_sanity_019_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3446 test_argtopk_sanity_020_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3447 test_argtopk_sanity_021_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3448 test_argtopk_sanity_022_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3449 test_argtopk_sanity_023_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3450 test_argtopk_sanity_024_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3451 test_argtopk_sanity_025_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3452 test_argtopk_sanity_026_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3453 test_argtopk_sanity_027_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3454 test_argtopk_sanity_028_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3455 test_argtopk_sanity_029_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3456 test_argtopk_sanity_030_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3457 test_argtopk_sanity_031_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3458 test_argtopk_sanity_032_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3459 test_argtopk_sanity_033_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3460 test_argtopk_sanity_034_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3461 test_argtopk_sanity_035_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3462 test_argtopk_sanity_036_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3463 test_argtopk_sanity_037_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3464 test_argtopk_sanity_038_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3465 test_argtopk_sanity_039_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3466 test_argtopk_sanity_040_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3467 test_argtopk_sanity_041_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3468 test_argtopk_sanity_042_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3469 test_argtopk_sanity_043_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3470 test_argtopk_sanity_044_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3471 test_argtopk_sanity_045_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3472 test_argtopk_sanity_046_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3473 test_argtopk_sanity_047_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3474 test_argtopk_sanity_048_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3475 test_argtopk_sanity_049_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3476 test_argtopk_sanity_050_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3477 test_argtopk_sanity_051_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3478 test_argtopk_sanity_052_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3479 test_argtopk_sanity_053_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3480 test_argtopk_sanity_054_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3481 test_argtopk_sanity_055_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3482 test_argtopk_sanity_056_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3483 test_argtopk_sanity_057_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3484 test_argtopk_sanity_058_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3485 test_argtopk_sanity_059_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3486 test_argtopk_sanity_060_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3487 test_argtopk_sanity_061_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3488 test_argtopk_sanity_062_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3489 test_argtopk_sanity_063_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3490 test_argtopk_sanity_064_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3491 test_argtopk_sanity_065_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3492 test_argtopk_sanity_066_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3493 test_argtopk_sanity_067_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3494 test_argtopk_sanity_068_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3495 test_argtopk_sanity_069_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3496 test_argtopk_sanity_070_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3497 test_argtopk_sanity_071_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3498 test_argtopk_sanity_072_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3499 test_argtopk_sanity_073_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3500 test_argtopk_sanity_074_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 6.630s OK 77% done in 10.358s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3501 test_argtopk_sanity_075_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3502 test_argtopk_sanity_076_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3503 test_argtopk_sanity_077_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3504 test_argtopk_sanity_078_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3505 test_argtopk_sanity_079_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3506 test_argtopk_sanity_080_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3507 test_argtopk_sanity_081_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3508 test_argtopk_sanity_082_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3509 test_argtopk_sanity_083_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3510 test_argtopk_sanity_084_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3511 test_argtopk_sanity_085_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3512 test_argtopk_sanity_086_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3513 test_argtopk_sanity_087_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3514 test_argtopk_sanity_088_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3515 test_argtopk_sanity_089_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3516 test_argtopk_sanity_090_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3517 test_argtopk_sanity_091_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3518 test_argtopk_sanity_092_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3519 test_argtopk_sanity_093_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3520 test_argtopk_sanity_094_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3521 test_argtopk_sanity_095_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3522 test_argtopk_sanity_096_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3523 test_argtopk_sanity_097_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3524 test_argtopk_sanity_098_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3525 test_argtopk_sanity_099_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3526 test_argtopk_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3527 test_argtopk_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3528 test_argtopk_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3529 test_argtopk_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3530 test_argtopk_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3531 test_argtopk_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3532 test_argtopk_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3533 test_argtopk_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3534 test_argtopk_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3535 test_argtopk_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3536 test_argtopk_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3537 test_argtopk_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3538 test_argtopk_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3539 test_argtopk_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3540 test_argtopk_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3541 test_argtopk_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3542 test_argtopk_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3543 test_argtopk_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3544 test_argtopk_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3545 test_argtopk_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3546 test_argtopk_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3547 test_argtopk_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3548 test_argtopk_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3549 test_argtopk_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3550 test_argtopk_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3551 test_argtopk_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3552 test_argtopk_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3553 test_argtopk_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3554 test_argtopk_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3555 test_argtopk_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3556 test_argtopk_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3557 test_argtopk_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3558 test_argtopk_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3559 test_argtopk_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3560 test_argtopk_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3561 test_argtopk_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3562 test_argtopk_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3563 test_argtopk_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3564 test_argtopk_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3565 test_argtopk_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3566 test_argtopk_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3567 test_argtopk_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3568 test_argtopk_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3569 test_argtopk_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3570 test_argtopk_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3571 test_argtopk_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3572 test_argtopk_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3573 test_argtopk_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3574 test_argtopk_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3575 test_argtopk_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3576 test_argtopk_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3577 test_argtopk_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3578 test_argtopk_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3579 test_argtopk_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3580 test_argtopk_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3581 test_argtopk_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3582 test_argtopk_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3583 test_argtopk_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3584 test_argtopk_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3585 test_argtopk_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3586 test_argtopk_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3587 test_argtopk_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3588 test_argtopk_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3589 test_argtopk_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3590 test_argtopk_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3591 test_argtopk_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3592 test_argtopk_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3593 test_argtopk_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3594 test_argtopk_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3595 test_argtopk_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3596 test_argtopk_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3597 test_argtopk_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3598 test_argtopk_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3599 test_argtopk_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3600 test_argtopk_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 5.761s OK 80% done in 9.964s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3601 test_argtopk_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3602 test_argtopk_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3603 test_argtopk_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3604 test_argtopk_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3605 test_argtopk_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3606 test_argtopk_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3607 test_argtopk_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3608 test_argtopk_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3609 test_argtopk_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3610 test_argtopk_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3611 test_argtopk_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3612 test_argtopk_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3613 test_argtopk_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3614 test_argtopk_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3615 test_argtopk_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3616 test_argtopk_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3617 test_argtopk_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3618 test_argtopk_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3619 test_argtopk_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3620 test_argtopk_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3621 test_argtopk_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3622 test_argtopk_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3623 test_argtopk_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3624 test_argtopk_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3625 test_argtopk_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3626 test_argtopk_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3627 test_argtopk_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3628 test_argtopk_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3629 test_argtopk_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3630 test_argtopk_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3631 test_argtopk_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3632 test_argtopk_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3633 test_argtopk_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3634 test_argtopk_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3635 test_argtopk_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3636 test_argtopk_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3637 test_argtopk_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3638 test_argtopk_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3639 test_argtopk_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3640 test_argtopk_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3641 test_argtopk_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3642 test_argtopk_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3643 test_argtopk_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3644 test_argtopk_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3645 test_argtopk_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3646 test_argtopk_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3647 test_argtopk_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3648 test_argtopk_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3649 test_argtopk_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3650 test_argtopk_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3651 test_argtopk_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3652 test_argtopk_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3653 test_argtopk_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3654 test_argtopk_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3655 test_argtopk_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3656 test_argtopk_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3657 test_argtopk_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3658 test_argtopk_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3659 test_argtopk_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3660 test_argtopk_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3661 test_argtopk_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3662 test_argtopk_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3663 test_argtopk_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3664 test_argtopk_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3665 test_argtopk_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3666 test_argtopk_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3667 test_argtopk_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3668 test_argtopk_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3669 test_argtopk_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3670 test_argtopk_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3671 test_argtopk_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3672 test_argtopk_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3673 test_argtopk_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3674 test_argtopk_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3675 test_argtopk_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3676 test_argtopk_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3677 test_argtopk_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3678 test_argtopk_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3679 test_argtopk_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3680 test_argtopk_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3681 test_argtopk_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3682 test_argtopk_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3683 test_argtopk_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3684 test_argtopk_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3685 test_argtopk_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3686 test_argtopk_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3687 test_argtopk_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3688 test_argtopk_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3689 test_argtopk_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3690 test_combined_1d_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3691 test_combined_1d_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3692 test_combined_1d_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3693 test_combined_1d_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3694 test_combined_1d_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3695 test_combined_1d_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3696 test_combined_1d_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3697 test_combined_1d_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3698 test_combined_1d_08 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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 #3699 test_combined_1d_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3700 test_combined_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 6.047s OK 82% done in 10.069s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3701 test_combined_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3703 test_combined_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3704 test_combined_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3705 test_combined_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3706 test_combined_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3707 test_combined_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3708 test_combined_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3709 test_combined_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3710 test_combined_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3711 test_combined_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3712 test_combined_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3713 test_combined_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3714 test_combined_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3715 test_combined_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3716 test_combined_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3717 test_combined_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3718 test_combined_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3719 test_combined_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3720 test_combined_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3721 test_combined_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3722 test_combined_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3723 test_combined_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3724 test_combined_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3725 test_combined_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3726 test_combined_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3727 test_combined_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3728 test_combined_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3729 test_combined_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3730 test_combined_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3731 test_combined_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3732 test_combined_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3733 test_combined_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3734 test_combined_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3735 test_combined_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3736 test_combined_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3737 test_combined_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3738 test_combined_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3739 test_combined_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3740 test_combined_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3741 test_combined_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3742 test_combined_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3743 test_combined_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3744 test_combined_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3745 test_combined_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3746 test_combined_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3747 test_combined_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3748 test_combined_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3749 test_combined_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3750 test_combined_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3751 test_combined_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3752 test_combined_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3753 test_combined_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3754 test_combined_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3755 test_combined_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3756 test_combined_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3757 test_combined_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3758 test_combined_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3759 test_combined_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3760 test_combined_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3761 test_combined_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3762 test_combined_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3763 test_combined_sanity_000_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3764 test_combined_sanity_001_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3765 test_combined_sanity_002_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3766 test_combined_sanity_003_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3767 test_combined_sanity_004_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3768 test_combined_sanity_005_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3769 test_combined_sanity_006_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3770 test_combined_sanity_007_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3771 test_combined_sanity_008_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3772 test_combined_sanity_009_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3773 test_combined_sanity_010_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3774 test_combined_sanity_011_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3775 test_combined_sanity_012_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3776 test_combined_sanity_013_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3777 test_combined_sanity_014_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3778 test_combined_sanity_015_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3779 test_combined_sanity_016_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3780 test_combined_sanity_017_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3781 test_combined_sanity_018_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3782 test_combined_sanity_019_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3783 test_combined_sanity_020_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3784 test_combined_sanity_021_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3785 test_combined_sanity_022_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3786 test_combined_sanity_023_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3787 test_combined_sanity_024_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3788 test_combined_sanity_025_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3789 test_combined_sanity_026_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3790 test_combined_sanity_027_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3791 test_combined_sanity_028_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3792 test_combined_sanity_029_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3793 test_combined_sanity_030_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3794 test_combined_sanity_031_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3795 test_combined_sanity_032_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3796 test_combined_sanity_033_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3797 test_combined_sanity_034_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3798 test_combined_sanity_035_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3799 test_combined_sanity_036_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3800 test_combined_sanity_037_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 6.785s OK 84% done in 10.822s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3801 test_combined_sanity_038_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3802 test_combined_sanity_039_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3803 test_combined_sanity_040_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3804 test_combined_sanity_041_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3805 test_combined_sanity_042_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3806 test_combined_sanity_043_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3807 test_combined_sanity_044_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3808 test_combined_sanity_045_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3809 test_combined_sanity_046_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3810 test_combined_sanity_047_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3811 test_combined_sanity_048_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3812 test_combined_sanity_049_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3813 test_combined_sanity_050_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3814 test_combined_sanity_051_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3815 test_combined_sanity_052_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3816 test_combined_sanity_053_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3817 test_combined_sanity_054_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3818 test_combined_sanity_055_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3819 test_combined_sanity_056_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3820 test_combined_sanity_057_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3821 test_combined_sanity_058_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3822 test_combined_sanity_059_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3823 test_combined_sanity_060_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3824 test_combined_sanity_061_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3825 test_combined_sanity_062_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3826 test_combined_sanity_063_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3827 test_combined_sanity_064_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3828 test_combined_sanity_065_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3829 test_combined_sanity_066_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3830 test_combined_sanity_067_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3831 test_combined_sanity_068_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3832 test_combined_sanity_069_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3833 test_combined_sanity_070_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3834 test_combined_sanity_071_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3835 test_combined_sanity_072_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3836 test_combined_sanity_073_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3837 test_combined_sanity_074_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3838 test_combined_sanity_075_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3839 test_combined_sanity_076_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3840 test_combined_sanity_077_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3841 test_combined_sanity_078_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3842 test_combined_sanity_079_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3843 test_combined_sanity_080_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3844 test_combined_sanity_081_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3845 test_combined_sanity_082_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3846 test_combined_sanity_083_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3847 test_combined_sanity_084_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3848 test_combined_sanity_085_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3849 test_combined_sanity_086_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3850 test_combined_sanity_087_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3851 test_combined_sanity_088_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3852 test_combined_sanity_089_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3853 test_combined_sanity_090_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3854 test_combined_sanity_091_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3855 test_combined_sanity_092_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3856 test_combined_sanity_093_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3857 test_combined_sanity_094_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3858 test_combined_sanity_095_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3859 test_combined_sanity_096_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3860 test_combined_sanity_097_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3861 test_combined_sanity_098_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3862 test_combined_sanity_099_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3863 test_combined_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3864 test_combined_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3865 test_combined_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3866 test_combined_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3867 test_combined_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3868 test_combined_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3869 test_combined_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3870 test_combined_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3871 test_combined_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3872 test_combined_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3873 test_combined_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3874 test_combined_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3875 test_combined_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3876 test_combined_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3877 test_combined_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3878 test_combined_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3879 test_combined_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3880 test_combined_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3881 test_combined_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3882 test_combined_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3883 test_combined_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3884 test_combined_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3885 test_combined_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3886 test_combined_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3887 test_combined_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3888 test_combined_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3889 test_combined_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3890 test_combined_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3891 test_combined_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3892 test_combined_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3893 test_combined_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3894 test_combined_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3895 test_combined_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3896 test_combined_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3897 test_combined_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3898 test_combined_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3899 test_combined_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3900 test_combined_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 5.621s OK 86% done in 9.562s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #3901 test_combined_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3902 test_combined_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3903 test_combined_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3904 test_combined_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3905 test_combined_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3906 test_combined_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3907 test_combined_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3908 test_combined_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3909 test_combined_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3910 test_combined_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3911 test_combined_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3912 test_combined_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3913 test_combined_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3914 test_combined_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3915 test_combined_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3916 test_combined_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3917 test_combined_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3918 test_combined_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3919 test_combined_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3920 test_combined_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3921 test_combined_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3922 test_combined_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3923 test_combined_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3924 test_combined_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3925 test_combined_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3926 test_combined_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3927 test_combined_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3928 test_combined_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3929 test_combined_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3930 test_combined_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3931 test_combined_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3932 test_combined_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3933 test_combined_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3934 test_combined_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3935 test_combined_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3936 test_combined_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3937 test_combined_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3938 test_combined_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3939 test_combined_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3940 test_combined_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3941 test_combined_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3942 test_combined_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3943 test_combined_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3944 test_combined_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3945 test_combined_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3946 test_combined_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3947 test_combined_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3948 test_combined_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3949 test_combined_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3950 test_combined_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3951 test_combined_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3952 test_combined_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3953 test_combined_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3954 test_combined_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3955 test_combined_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3956 test_combined_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3957 test_combined_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3958 test_combined_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3959 test_combined_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3960 test_combined_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3961 test_combined_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3962 test_combined_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3963 test_combined_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3964 test_combined_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3965 test_combined_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3966 test_combined_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3967 test_combined_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3968 test_combined_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3969 test_combined_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3970 test_combined_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3971 test_combined_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3972 test_combined_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3973 test_combined_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3974 test_combined_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3975 test_combined_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3976 test_combined_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3977 test_combined_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3978 test_combined_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3979 test_combined_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3980 test_combined_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3981 test_combined_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3982 test_combined_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3983 test_combined_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3984 test_combined_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3985 test_combined_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3986 test_combined_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3987 test_combined_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3988 test_combined_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3989 test_combined_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3990 test_combined_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3991 test_combined_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3992 test_combined_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3993 test_combined_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3994 test_combined_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3995 test_combined_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3996 test_combined_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3997 test_combined_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3998 test_combined_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3999 test_combined_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4000 test_combined_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 5.940s OK 89% done in 9.916s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #4001 test_combined_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4002 test_combined_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4003 test_combined_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4004 test_combined_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4005 test_combined_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4006 test_combined_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4007 test_combined_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4008 test_combined_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4009 test_combined_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4010 test_combined_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4011 test_combined_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4012 test_combined_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4013 test_combined_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4014 test_combined_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4015 test_combined_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4016 test_combined_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4017 test_combined_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4018 test_combined_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4019 test_combined_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4020 test_combined_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4021 test_combined_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4022 test_combined_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4023 test_combined_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4024 test_combined_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4025 test_combined_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4026 test_combined_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4027 test_grad_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4028 test_grad_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4029 test_grad_02 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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] /<>/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 #4030 test_grad_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4031 test_grad_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4032 test_grad_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4033 test_grad_06 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4034 test_grad_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4035 test_grad_08 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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] /<>/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 #4036 test_grad_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4037 test_grad_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4038 test_grad_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4039 test_grad_12 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4040 test_grad_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4041 test_grad_14 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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] /<>/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 #4042 test_grad_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4043 test_grad_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4044 test_grad_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4045 test_grad_18 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4046 test_grad_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4047 test_grad_20 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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] /<>/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 #4048 test_grad_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4049 test_grad_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4050 test_grad_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4051 test_topk_1d_00 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4052 test_topk_1d_01 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4053 test_topk_1d_02 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4054 test_topk_1d_03 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4055 test_topk_1d_04 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4056 test_topk_1d_05 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4057 test_topk_1d_06 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4058 test_topk_1d_07 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4059 test_topk_1d_08 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4060 test_topk_1d_09 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4061 test_topk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4062 test_topk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4063 test_topk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4064 test_topk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4065 test_topk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4066 test_topk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4067 test_topk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4068 test_topk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4069 test_topk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4070 test_topk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4071 test_topk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4072 test_topk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4073 test_topk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4074 test_topk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4075 test_topk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4076 test_topk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4077 test_topk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4078 test_topk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4079 test_topk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4080 test_topk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4081 test_topk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4082 test_topk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4083 test_topk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4084 test_topk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4085 test_topk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4086 test_topk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4087 test_topk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4088 test_topk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4089 test_topk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4090 test_topk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4091 test_topk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4092 test_topk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4093 test_topk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4094 test_topk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4095 test_topk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4096 test_topk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4097 test_topk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4098 test_topk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4099 test_topk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4100 test_topk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 37.245s OK 91% done in 41.473s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #4101 test_topk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4102 test_topk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4103 test_topk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... /<>/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 #4104 test_topk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4105 test_topk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4106 test_topk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4107 test_topk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4108 test_topk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4109 test_topk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4110 test_topk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4111 test_topk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4112 test_topk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4113 test_topk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4114 test_topk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4115 test_topk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4116 test_topk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4117 test_topk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4118 test_topk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4119 test_topk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4120 test_topk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4121 test_topk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4122 test_topk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4123 test_topk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4124 test_topk_1d_73 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4125 test_topk_1d_74 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4126 test_topk_1d_75 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4127 test_topk_1d_76 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4128 test_topk_1d_77 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4129 test_topk_1d_78 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4130 test_topk_1d_79 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4131 test_topk_1d_80 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4132 test_topk_1d_81 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4133 test_topk_1d_82 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4134 test_topk_1d_83 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4135 test_topk_1d_84 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4136 test_topk_sanity_00_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4137 test_topk_sanity_01_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4138 test_topk_sanity_02_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4139 test_topk_sanity_03_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4140 test_topk_sanity_04_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4141 test_topk_sanity_05_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4142 test_topk_sanity_06_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4143 test_topk_sanity_07_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4144 test_topk_sanity_08_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4145 test_topk_sanity_09_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4146 test_topk_sanity_10_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4147 test_topk_sanity_11_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4148 test_topk_sanity_12_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4149 test_topk_sanity_13_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4150 test_topk_sanity_14_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4151 test_topk_sanity_15_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4152 test_topk_sanity_16_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4153 test_topk_sanity_17_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4154 test_topk_sanity_18_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4155 test_topk_sanity_19_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4156 test_topk_sanity_20_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4157 test_topk_sanity_21_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4158 test_topk_sanity_22_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4159 test_topk_sanity_23_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4160 test_topk_sanity_24_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4161 test_topk_sanity_25_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4162 test_topk_sanity_26_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4163 test_topk_sanity_27_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4164 test_topk_sanity_28_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4165 test_topk_sanity_29_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4166 test_topk_sanity_30_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4167 test_topk_sanity_31_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4168 test_topk_sanity_32_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4169 test1 (theano.tensor.tests.test_sort.Test_sort) ... ok #4170 test2 (theano.tensor.tests.test_sort.Test_sort) ... ok #4171 test3 (theano.tensor.tests.test_sort.Test_sort) ... ok #4172 test4 (theano.tensor.tests.test_sort.Test_sort) ... ok #4173 test5 (theano.tensor.tests.test_sort.Test_sort) ... ok #4174 test_None (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4175 test_grad_negative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4176 test_grad_negative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4177 test_grad_negative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4178 test_grad_none_axis (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4179 test_grad_nonnegative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4180 test_grad_nonnegative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... ok #4181 test_grad_nonnegative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... ok #4182 test_grad_vector (theano.tensor.tests.test_sort.Test_sort) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4183 test_combined_infer_shape_00 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4184 test_combined_infer_shape_01 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<>/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 #4185 test_combined_infer_shape_02 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4186 test_combined_infer_shape_03 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4187 test_combined_infer_shape_04 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4188 test_combined_infer_shape_05 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4189 test_combined_infer_shape_06 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4190 test_combined_infer_shape_07 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4191 test_combined_infer_shape_08 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4192 test_combined_infer_shape_09 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4193 test_combined_infer_shape_10 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4194 test_combined_infer_shape_11 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4195 test_combined_infer_shape_12 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4196 test_combined_infer_shape_13 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<>/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 #4197 test_combined_infer_shape_14 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4198 test_combined_infer_shape_15 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4199 test_combined_infer_shape_16 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4200 test_combined_infer_shape_17 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<>/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 ---------------------------------------------------------------------- Ran 100 tests in 36.658s OK 93% done in 41.141s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #4201 test_combined_infer_shape_18 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /<>/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 #4202 test_combined_infer_shape_19 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4203 theano.tensor.tests.test_sort.test_argsort ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4204 theano.tensor.tests.test_sort.test_argsort_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4205 test0_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4206 test1_0_dims (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4207 test1_err_bounds (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4208 test1_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4209 test1_err_subslice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4210 test1_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4211 test1_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4212 test1_ok_range_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4213 test1_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4214 test2_err_bounds0 (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4215 test2_err_bounds1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4216 test2_ok_col (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4217 test2_ok_cols_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4218 test2_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4219 test2_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4220 test2_ok_row (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4221 test2_ok_rows_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4222 test2_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4223 test3_ok_mat (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4224 test_adv1_inc_sub_notlastdim (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4225 test_adv1_inc_sub_notlastdim_1_2dval_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4226 test_adv1_inc_sub_notlastdim_1_2dval_no_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4227 test_adv1_inc_sub_notlastdim_2didx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4228 test_adv_constant_arg (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4229 test_adv_sub1_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4230 test_adv_sub1_idx_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4231 test_advanced1_inc_and_set (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4232 test_boolean (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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 #4233 test_ellipsis (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4234 test_err_bound_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4235 test_err_invalid_2list_dtype (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4236 test_err_invalid_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4237 test_grad_0d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4238 test_grad_1d (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4239 test_grad_2d_inc_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4240 test_grad_advanced_inc_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4241 test_grad_list (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4242 test_inc_and_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4243 test_list_slice (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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 #4244 test_long (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4245 test_long_too_big (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4246 test_newaxis (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4247 test_noncontiguous_idx (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4248 test_ok_list (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4249 test_shape_i_const (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4250 test_shape_i_scalar (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4251 test_shape_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4252 test_slice_canonical_form_0 (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4253 test_slice_canonical_form_1 (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4254 test_slice_canonical_form_2 (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4255 test_slice_canonical_form_3 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4256 test_slice_canonical_form_4 (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4257 test_slice_canonical_form_5 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4258 test_slice_canonical_form_6 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4259 test_slice_symbol (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4260 test_take (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4261 test_wrong_exception_regression (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4262 test_adv_grouped (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4263 test_adv_sub_3d (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4264 test_adv_sub_slice (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4265 test_adv_subtensor_w_int_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4266 test_adv_subtensor_w_matrix_and_int (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4267 test_adv_subtensor_w_matrix_and_none (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4268 test_adv_subtensor_w_none_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4269 test_adv_subtensor_w_slice_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4270 test_advanced_indexing (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4271 test_advinc_subtensor (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4272 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4273 test_grad (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4274 test_inc_adv_subtensor1_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4275 test_inc_adv_subtensor_w_2vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4276 test_inc_adv_subtensor_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4277 test_inc_adv_subtensor_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4278 test_inc_adv_subtensor_with_index_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4279 test_index_into_mat_w_row (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4280 test_index_into_vec_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4281 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4282 test_index_w_int_and_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4283 test_1d_inc_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4284 test_1d_inc_adv_selection_w_broadcasting (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4285 test_1d_set_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4286 test_assigning_matrix_to_vector_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4287 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4288 test_inc_bcastableidx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4289 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4290 test_matrix_idx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4291 test_adv_sub (theano.tensor.tests.test_subtensor.TestInferShape) ... ok #4292 test_boolean (theano.tensor.tests.test_subtensor.TestInferShape) ... ok #4293 test_infer_shape (theano.tensor.tests.test_subtensor.TestInferShape) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4294 theano.tensor.tests.test_type_other.test_make_slice_merge ... ok #4295 theano.tensor.tests.test_type_other.test_none_Constant ... ok #4296 test_err (theano.tensor.tests.test_utils.Tshape_of_variables) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4297 test_simple (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4298 test_subtensor (theano.tensor.tests.test_utils.Tshape_of_variables) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4299 theano.tensor.tests.test_utils.test_hash_from_ndarray ... ok #4300 theano.tensor.tests.test_var.test_numpy_method ... ok ---------------------------------------------------------------------- Ran 100 tests in 123.598s OK 95% done in 128.331s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. /<>/theano/tensor/tests/test_basic.py:6753: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default(): /<>/theano/tensor/tests/test_basic.py:6766: DeprecationWarning: the np.testing.dec decorators are included for nose support, and are deprecated since NumPy v1.21. Use the nose2 or pytest frameworks instead. def test_default_state(): #4301 theano.tensor.tests.test_var.test_empty_list_indexing ... ok #4302 theano.tensor.tests.test_var.test_copy ... ok #4303 theano.tensor.tests.test_var.test_None_dimShuffle_replace ... ok #4304 test0 (theano.tensor.tests.test_xlogx.T_XlogX) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4305 test1 (theano.tensor.tests.test_xlogx.T_XlogX) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4306 test2 (theano.tensor.tests.test_xlogx.T_XlogY0) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4307 test3 (theano.tensor.tests.test_xlogx.T_XlogY0) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4308 test_correct_answer (theano.typed_list.tests.test_basic.TestMakeList) ... ok #4309 test_wrong_shape (theano.typed_list.tests.test_basic.TestMakeList) ... ok #4310 test_inplace (theano.typed_list.tests.test_basic.test_append) ... ok #4311 test_interfaces (theano.typed_list.tests.test_basic.test_append) ... ok #4312 test_sanity_check (theano.typed_list.tests.test_basic.test_append) ... ok #4313 test_interface (theano.typed_list.tests.test_basic.test_count) ... ok #4314 test_non_tensor_type (theano.typed_list.tests.test_basic.test_count) ... ok #4315 test_sanity_check (theano.typed_list.tests.test_basic.test_count) ... ok #4316 test_sparse (theano.typed_list.tests.test_basic.test_count) ... ok #4317 test_inplace (theano.typed_list.tests.test_basic.test_extend) ... ok #4318 test_interface (theano.typed_list.tests.test_basic.test_extend) ... ok #4319 test_sanity_check (theano.typed_list.tests.test_basic.test_extend) ... ok #4320 test_constant_input (theano.typed_list.tests.test_basic.test_get_item) ... ok #4321 test_interface (theano.typed_list.tests.test_basic.test_get_item) ... ok #4322 test_sanity_check_single (theano.typed_list.tests.test_basic.test_get_item) ... ok #4323 test_sanity_check_slice (theano.typed_list.tests.test_basic.test_get_item) ... ok #4324 test_wrong_input (theano.typed_list.tests.test_basic.test_get_item) ... ok #4325 test_interface (theano.typed_list.tests.test_basic.test_index) ... ok #4326 test_non_tensor_type (theano.typed_list.tests.test_basic.test_index) ... ok #4327 test_sanity_check (theano.typed_list.tests.test_basic.test_index) ... ok #4328 test_sparse (theano.typed_list.tests.test_basic.test_index) ... ok #4329 test_inplace (theano.typed_list.tests.test_basic.test_insert) ... ok #4330 test_interface (theano.typed_list.tests.test_basic.test_insert) ... ok #4331 test_sanity_check (theano.typed_list.tests.test_basic.test_insert) ... ok #4332 test_interface (theano.typed_list.tests.test_basic.test_length) ... ok #4333 test_sanity_check (theano.typed_list.tests.test_basic.test_length) ... ok #4334 test_inplace (theano.typed_list.tests.test_basic.test_remove) ... ok #4335 test_interface (theano.typed_list.tests.test_basic.test_remove) ... ok #4336 test_sanity_check (theano.typed_list.tests.test_basic.test_remove) ... ok #4337 test_inplace (theano.typed_list.tests.test_basic.test_reverse) ... ok #4338 test_interface (theano.typed_list.tests.test_basic.test_reverse) ... ok #4339 test_sanity_check (theano.typed_list.tests.test_basic.test_reverse) ... ok #4340 test_append_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4341 test_extend_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4342 test_insert_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4343 test_remove_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4344 test_reverse_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4345 theano.typed_list.tests.test_opt.test_constant_folding ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4346 test_basic_nested_list (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4347 test_comparison_different_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4348 test_comparison_uneven_nested (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4349 test_filter_sanity_check (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4350 test_get_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4351 test_intern_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4352 test_nested_list_arg (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4353 test_not_a_list_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4354 test_type_equality (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4355 test_variable_is_Typed_List_variable (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4356 test_wrong_input_on_creation (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4357 test_wrong_input_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4358 test_scipy_paper_example1 (theano.tests.diverse_tests.T_scipy) ... ok #4359 This just sees if things compile well and if they run ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4360 theano.tests.test_2nd_order_grads.test001_jacobian_vector ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4361 theano.tests.test_2nd_order_grads.test002_jacobian_matrix ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4362 theano.tests.test_2nd_order_grads.test003_jacobian_scalar ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4363 theano.tests.test_2nd_order_grads.test004_hessian ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4364 theano.tests.test_2nd_order_grads.test_jacobian_disconnected_inputs ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4365 test_connection_pattern (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4366 test_fprop (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4367 test_grad (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4368 test_infer_shape (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4369 test_invalid_default (theano.tests.test_config.T_config) ... ok #4370 theano.tests.test_determinism.test_determinism_1 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/printing.py:1268: DeprecationWarning: tostring() is deprecated. Use tobytes() instead. rval = hashlib.sha256(x.tostring()).hexdigest() /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4371 test_composing_function (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4372 test_debug_mode_dict (theano.tests.test_dictionary_output.dictionary_output_checker) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4373 test_debug_mode_list (theano.tests.test_dictionary_output.dictionary_output_checker) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4374 test_input_named_variables (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4375 test_key_string_requirement (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4376 test_output_dictionary (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4377 test_output_list_still_works (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4378 test_output_order_sorted (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4379 theano.tests.test_flake8.test_format_flake8 ... SKIP: flake8 is not installed #4380 test_grad (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.10/unittest/case.py:549: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. method() /<>/theano/misc/safe_asarray.py:33: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) dtype = np.dtype(dtype) # Convert into dtype object. /<>/theano/misc/safe_asarray.py:33: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) dtype = np.dtype(dtype) # Convert into dtype object. /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4381 test_op_removed (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.10/unittest/case.py:549: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. method() ok #4382 test_connection_pattern (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4383 test_disconnected_paths (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4384 test_grad (theano.tests.test_gradient.TestDisconnectedGrad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4385 test_op_removed (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4386 test_grad (theano.tests.test_gradient.TestZeroGrad) ... /<>/theano/misc/safe_asarray.py:33: DeprecationWarning: in the future the `.dtype` attribute of a given datatype object must be a valid dtype instance. `data_type.dtype` may need to be coerced using `np.dtype(data_type.dtype)`. (Deprecated NumPy 1.20) dtype = np.dtype(dtype) # Convert into dtype object. ok #4387 test_op_removed (theano.tests.test_gradient.TestZeroGrad) ... ok #4388 test_rop (theano.tests.test_gradient.TestZeroGrad) ... ok #4389 test_disconnected_nan (theano.tests.test_gradient.test_grad) ... ok #4390 test_downcast_dtype (theano.tests.test_gradient.test_grad) ... ok #4391 test_grad_constant (theano.tests.test_gradient.test_grad) ... ok #4392 test_grad_cubic (theano.tests.test_gradient.test_grad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4393 test_grad_disconnected (theano.tests.test_gradient.test_grad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4394 test_grad_duplicate_input (theano.tests.test_gradient.test_grad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4395 test_grad_grad_cubic (theano.tests.test_gradient.test_grad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4396 test_grad_grad_quadratic (theano.tests.test_gradient.test_grad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4397 test_grad_int (theano.tests.test_gradient.test_grad) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4398 test_grad_name (theano.tests.test_gradient.test_grad) ... ok #4399 test_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok #4400 test_grad_quadratic_vector (theano.tests.test_gradient.test_grad) ... ok ---------------------------------------------------------------------- Ran 100 tests in 57.718s OK (SKIP=1) 98% done in 62.473s (failed: 0) WARNING (theano.bin.theano-nose): KnownFailure plugin from NumPy could not be imported. Use --without-knownfailure to disable this warning. #4401 test_undefined_grad_func (theano.tests.test_gradient.test_grad) ... ok #4402 test_undefined_grad_grad (theano.tests.test_gradient.test_grad) ... ok #4403 test_unimplemented_grad_func (theano.tests.test_gradient.test_grad) ... ok #4404 test_unimplemented_grad_grad (theano.tests.test_gradient.test_grad) ... ok #4405 test_1in_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4406 test_1in_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4407 test_Nin_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4408 test_Nin_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4409 test_retNone1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4410 test_wrong_rval_len1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4411 theano.tests.test_gradient.test_undefined_grad_opt ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4412 theano.tests.test_gradient.test_known_grads ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4413 theano.tests.test_gradient.test_dxdx ... ok #4414 theano.tests.test_gradient.test_known_grads_integers ... ok #4415 theano.tests.test_gradient.test_undefined_cost_grad ... ok #4416 theano.tests.test_gradient.test_disconnected_cost_grad ... ok #4417 theano.tests.test_gradient.test_subgraph_grad ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4418 theano.tests.test_gradient.test_grad_clip ... ok #4419 theano.tests.test_gradient.test_grad_scale ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4420 test_broadcast_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4421 test_dtype_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4422 test_grad_cast_input (theano.tests.test_ifelse.test_ifelse) ... ok #4423 test_grad_int_value (theano.tests.test_ifelse.test_ifelse) ... ok #4424 test_grad_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok #4425 test_grad_test_values (theano.tests.test_ifelse.test_ifelse) ... ok #4426 test_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok #4427 test_lazy_if_on_generics (theano.tests.test_ifelse.test_ifelse) ... ok #4428 test_merge (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4429 test_merge_ifs_true_false (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4430 test_mixed_dtype (theano.tests.test_ifelse.test_ifelse) ... ok #4431 test_multiple_out (theano.tests.test_ifelse.test_ifelse) ... ok #4432 test_multiple_out_crash (theano.tests.test_ifelse.test_ifelse) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4433 test_multiple_out_grad (theano.tests.test_ifelse.test_ifelse) ... ok #4434 test_ndim_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4435 test_not_lazy_if_inplace (theano.tests.test_ifelse.test_ifelse) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4436 test_pushout1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4437 test_pushout2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4438 test_pushout3 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4439 test_remove_useless_inputs1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4440 test_remove_useless_inputs2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4441 test_sparse_tensor_error (theano.tests.test_ifelse.test_ifelse) ... ok #4442 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_with_reoptimization ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4443 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_without_reoptimization ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4444 theano.tests.test_printing.test_pydotprint_cond_highlight ... /<>/theano/printing.py:797: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead _logger.warn("pydotprint: cond_highlight is set but there is no" ok #4445 theano.tests.test_printing.test_pydotprint_return_image ... ok #4446 theano.tests.test_printing.test_pydotprint_long_name ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4447 theano.tests.test_printing.test_pydotprint_profile ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4448 theano.tests.test_printing.test_min_informative_str ... ok #4449 theano.tests.test_printing.test_debugprint ... ok #4450 theano.tests.test_printing.test_scan_debugprint1 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4451 theano.tests.test_printing.test_scan_debugprint2 ... ok #4452 theano.tests.test_printing.test_scan_debugprint3 ... ok #4453 theano.tests.test_printing.test_scan_debugprint4 ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4454 theano.tests.test_printing.test_scan_debugprint5 ... ok #4455 theano.tests.test_printing.test_printing_scan ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4456 theano.tests.test_printing.test_subtensor ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4457 theano.tests.test_record.test_record_good ... ok #4458 theano.tests.test_record.test_record_bad ... ok #4459 theano.tests.test_record.test_record_mode_good ... /<>/theano/printing.py:1268: DeprecationWarning: tostring() is deprecated. Use tobytes() instead. rval = hashlib.sha256(x.tostring()).hexdigest() ok #4460 theano.tests.test_record.test_record_mode_bad ... ok #4461 test_Rop_dot_bug_18Oct2013_Jeremiah (theano.tests.test_rop.test_RopLop) ... ok #4462 test_alloc (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4463 test_argmax (theano.tests.test_rop.test_RopLop) ... ok #4464 test_conv (theano.tests.test_rop.test_RopLop) ... /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/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." /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4465 test_dimshuffle (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4466 test_dot (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. #4467 test_downsample (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4468 test_elemwise0 (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. #4469 test_elemwise1 (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4470 test_flatten (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4471 test_incsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok #4472 test_incsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok #4473 test_invalid_input (theano.tests.test_rop.test_RopLop) ... ok #4474 test_join (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4475 test_max (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4476 test_multiple_outputs (theano.tests.test_rop.test_RopLop) ... ok #4477 test_print (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4478 test_rebroadcast (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4479 test_reshape (theano.tests.test_rop.test_RopLop) ... ok #4480 test_setsubtensor1 (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4481 test_setsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok #4482 test_shape (theano.tests.test_rop.test_RopLop) ... ok #4483 test_softmax (theano.tests.test_rop.test_RopLop) ... /<>/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]) /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4484 test_specifyshape (theano.tests.test_rop.test_RopLop) ... /<>/theano/tensor/basic.py:381: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations np.complex(data) # works for all numeric scalars ok #4485 test_subtensor (theano.tests.test_rop.test_RopLop) ... ok #4486 test_sum (theano.tests.test_rop.test_RopLop) ... ok #4487 test_updates_add (theano.tests.test_updates.test_ifelse) ... ok #4488 test_updates_init (theano.tests.test_updates.test_ifelse) ... ok #4489 test_updates_setitem (theano.tests.test_updates.test_ifelse) ... ok ---------------------------------------------------------------------- Ran 89 tests in 99.056s OK (SKIP=9) 100% done in 103.992s (failed: 0) #################### # ALL TESTS PASSED # #################### make[1]: Leaving directory '/<>' create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=pybuild dh_prep -O--buildsystem=pybuild debian/rules override_dh_auto_install make[1]: Entering directory '/<>' dh_auto_install I: pybuild base:239: /usr/bin/python3 setup.py install --root /<>/debian/python3-theano --install-scripts=/usr/share/python3-theano /<>/setup.py:11: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.util import convert_path running install /usr/lib/python3/dist-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. warnings.warn( running build running build_py creating /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/printing.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/pathparse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/ifelse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/configdefaults.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/configparser.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/gradient.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/_version.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/version.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/updates.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano copying theano/raise_op.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/rng_mrg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/minimal.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/blocksparse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/multinomial.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/neighbours.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/fourier.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/solve.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox copying theano/sandbox/softsign.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse copying theano/sparse/sharedvar.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse copying theano/sparse/utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse copying theano/sparse/basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse copying theano/sparse/opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse copying theano/sparse/type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse copying theano/sparse/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/destroyhandler.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/sched.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/compilelock.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/params_type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/graph.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/lazylinker_c.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/fg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/callcache.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/vm.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/null_type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/unify.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/compiledir.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/op.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/link.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/cutils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/cmodule.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/toolbox.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/cc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof copying theano/gof/optdb.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof creating /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar copying theano/scalar/sharedvar.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar copying theano/scalar/basic_scipy.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar copying theano/scalar/basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar copying theano/scalar/basic_sympy.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar copying theano/scalar/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar creating /<>/.pybuild/cpython3_3.10_theano/build/theano/compat copying theano/compat/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compat creating /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan_views.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan_op.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan_checkpoints.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/scan_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module copying theano/scan_module/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_gradient.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_config.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/unittest_tools.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_2nd_order_grads.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_determinism.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/diverse_tests.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/disturb_mem.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/record.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_pickle_unpickle_theano_fn.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/breakpoint.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_printing.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_updates.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_rop.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/main.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/run_tests_in_batch.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_dictionary_output.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_flake8.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_record.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_ifelse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests copying theano/tests/test_breakpoint.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/fft.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/blas_headers.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/subtensor.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/inplace.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/elemwise.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/blas_c.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/raw_random.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/sort.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/sharedvar.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/slinalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/blas.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/blas_scipy.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/fourier.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/shared_randomstreams.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/nlinalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/xlogx.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/extra_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/inc_code.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/elemwise_cgen.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/var.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/io.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor copying theano/tensor/type_other.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor creating /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list copying theano/typed_list/basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list copying theano/typed_list/opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list copying theano/typed_list/type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list copying theano/typed_list/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list creating /<>/.pybuild/cpython3_3.10_theano/build/theano/bin copying theano/bin/theano_cache.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/bin copying theano/bin/theano_nose.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/bin copying theano/bin/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/bin creating /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/nanguardmode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/profiling.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/function.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/builders.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/monitormode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/debugmode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/sharedvalue.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/mode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/function_module.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/io.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile copying theano/compile/pfunc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/fft.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/pool.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/subtensor.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/rng_mrg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/ctc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/elemwise.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/linalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/opt_util.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/basic_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/sort.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/blas.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/blocksparse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/multinomial.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/neighbours.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/dnn.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/extra_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/nerv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/fp16_help.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/kernel_codegen.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/nnet.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/cudnn_defs.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray copying theano/gpuarray/reduction.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray creating /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz copying theano/d3viz/d3viz.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz copying theano/d3viz/formatting.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz copying theano/d3viz/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz creating /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/burn_gpu.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/cpucount.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/elemwise_time_test.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/gh_api.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/windows.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/elemwise_openmp_speedup.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/check_multi_gpu.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/may_share_memory.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/ordered_set.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/check_blas.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/check_duplicate_key.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/buildbot_filter.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/doubleop.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/pkl_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/strutil.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/frozendict.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/latence_gpu_transfert.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/safe_asarray.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/misc/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_rng_mrg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests copying theano/sandbox/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/cuda creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests copying theano/sparse/tests/test_type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests copying theano/sparse/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_graph_opt_caching.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_graph.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_vm.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_fg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_types.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_optdb.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_compiledir.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_sched.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_cc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_link.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_lazy.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_params_type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_op.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests copying theano/scalar/tests/test_div_future.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests copying theano/scalar/tests/test_div_no_future.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests copying theano/scalar/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_checkpoints.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/corr3d.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/ctc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/corr.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/blocksparse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/neighbours.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/abstract_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/bn.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_fft.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_nlinalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_io.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_var.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_type_other.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests copying theano/tensor/tests/test_slinalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal copying theano/tensor/signal/pool.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal copying theano/tensor/signal/conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal copying theano/tensor/signal/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal creating /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_basic.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests copying theano/typed_list/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/sandbox creating /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_nanguardmode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_function.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_function_module.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_modes.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_mode.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_misc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_shared.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_profiling.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_function_name.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests copying theano/compile/tests/test_builders.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/run_dnn_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_fft.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_abstractconv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_extra_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_multinomial.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_subtensor.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/config.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_elemwise.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pool.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_ctc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pickle.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr3d.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_sort.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blas.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_rng_mrg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_others.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_scan.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_misc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_cgpukernelbase.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/rnn_support.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_type.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blocksparse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/check_dnn_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_dnn.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_basic_ops.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nnet.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_neighbours.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_reduction.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_linalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests copying theano/d3viz/tests/models.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests copying theano/d3viz/tests/test_formatting.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests copying theano/d3viz/tests/test_d3viz.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests copying theano/d3viz/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests copying theano/misc/tests/test_pkl_utils.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests copying theano/misc/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_opt.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_bn.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr3d.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_ctc.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_abstract_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_blocksparse.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_neighbours.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_pool.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/c_code copying theano/gof/c_code/lazylinker_c.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/c_code copying theano/gof/c_code/theano_mod_helper.h -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/c_code creating /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/c_code copying theano/scalar/c_code/gamma.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/c_code creating /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/c_code copying theano/scan_module/c_code/scan_perform.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/c_code creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code copying theano/tensor/c_code/alt_blas_common.h -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code copying theano/tensor/c_code/dimshuffle.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code copying theano/tensor/c_code/alt_blas_template.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/conv_desc.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/cudnn_helper.h -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_ave_grad.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_sampler.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_softmax_grad.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_dense.cu -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_grad_grad.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_common.cuh -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_eigh.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/ctc_wrapper.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dimshuffle.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_qr.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_dense_large.cu -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_gt.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_softmax.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_inv.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_gw.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_gi.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_gi.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_base.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_max_grad.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_pool.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_gw.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_cholesky.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_grid.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_fwd.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_dropout_fwd.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_dropout_desc.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/corr3d_gemm.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_gi.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_base.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/corr_gemm.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_desc.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_pool_grad.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_svd.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_redux.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_conv_base.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_max_rop.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_fwd.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/gpuarray_helper.h -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/blockger.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/blockgemv.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code creating /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/html copying theano/d3viz/html/template.html -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/html creating /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/css copying theano/d3viz/css/d3-context-menu.css -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/css copying theano/d3viz/css/d3viz.css -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/css creating /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js copying theano/d3viz/js/d3-context-menu.js -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js copying theano/d3viz/js/d3viz.js -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js copying theano/d3viz/js/d3.v3.min.js -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js copying theano/d3viz/js/graphlib-dot.min.js -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js copying theano/d3viz/js/dagre-d3.min.js -> /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js copying theano/misc/check_blas_many.sh -> /<>/.pybuild/cpython3_3.10_theano/build/theano/misc copying theano/sandbox/tests/multinomial_test_graph.pkl -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests copying theano/gof/tests/test_fg_old_crash.pkl -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/c_code copying theano/gof/tests/c_code/test_cenum.h -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/c_code copying theano/gof/tests/c_code/test_quadratic_function.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/c_code creating /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/ctc_wrapper.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/corr3d_gemm.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/corr_gemm.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code copying theano/gpuarray/tests/GpuArray.pkl -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests creating /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/c_code copying theano/gpuarray/tests/c_code/tstgpueye.c -> /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/c_code copying theano/tensor/signal/tests/old_pool_interface.pkl -> /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests UPDATING /<>/.pybuild/cpython3_3.10_theano/build/theano/_version.py set /<>/.pybuild/cpython3_3.10_theano/build/theano/_version.py to '1.0.5' running install_lib creating /<>/debian/python3-theano creating /<>/debian/python3-theano/usr creating /<>/debian/python3-theano/usr/lib creating /<>/debian/python3-theano/usr/lib/python3.10 creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/rng_mrg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/minimal.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/blocksparse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/multinomial.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/neighbours.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/fourier.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests/test_multinomial.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests/test_rng_mrg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests/multinomial_test_graph.pkl -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/solve.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/cuda copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/cuda/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/cuda copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/tests/test_linalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/linalg/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sandbox/softsign.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/printing.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox/sp2.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox/test_sp.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox/truedot.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox/sp.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sandbox/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/sharedvar.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests/test_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests/test_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests/test_sp2.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests/test_basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests/test_type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse copying /<>/.pybuild/cpython3_3.10_theano/build/theano/sparse/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse copying /<>/.pybuild/cpython3_3.10_theano/build/theano/pathparse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/destroyhandler.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/sched.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/compilelock.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/params_type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/graph.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/lazylinker_c.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/fg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/callcache.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/vm.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/null_type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_graph_opt_caching.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_graph.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_vm.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_compute_test_value.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_fg_old_crash.pkl -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_fg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_types.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_optdb.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_cmodule.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_compiledir.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_sched.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_toolbox.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_cc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/c_code/test_cenum.h -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/c_code/test_quadratic_function.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_link.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_lazy.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_params_type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_op.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/tests/test_destroyhandler.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/unify.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/compiledir.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/op.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/link.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/cutils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/c_code/lazylinker_c.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/c_code/theano_mod_helper.h -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/cmodule.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/toolbox.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/cc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gof/optdb.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/sharedvar.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/basic_scipy.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests/test_div_future.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests/test_basic_sympy.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests/test_div_no_future.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests/test_basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/basic_sympy.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/c_code/gamma.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scalar/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compat copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compat/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compat copying /<>/.pybuild/cpython3_3.10_theano/build/theano/ifelse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan_views.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan_perform_ext.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan_op.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan_checkpoints.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests/test_scan_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests/test_scan_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests/test_scan.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests/test_scan_checkpoints.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/c_code/scan_perform.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/scan_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module copying /<>/.pybuild/cpython3_3.10_theano/build/theano/scan_module/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_gradient.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_config.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/unittest_tools.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_2nd_order_grads.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_determinism.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/diverse_tests.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/disturb_mem.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/record.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_pickle_unpickle_theano_fn.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/breakpoint.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_printing.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_updates.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_rop.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/main.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/run_tests_in_batch.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_dictionary_output.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_flake8.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_record.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_ifelse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tests/test_breakpoint.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/configdefaults.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano copying /<>/.pybuild/cpython3_3.10_theano/build/theano/configparser.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/fft.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/blas_headers.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/subtensor.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/inplace.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/elemwise.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/blas_c.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/raw_random.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/sort.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/sharedvar.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/slinalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/blas.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/blas_scipy.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/fourier.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/shared_randomstreams.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nlinalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/xlogx.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/extra_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/corr3d.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/ctc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/corr.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/blocksparse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/neighbours.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/abstract_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/bn.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_corr.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_bn.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_conv3d2d.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_corr3d.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_ctc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_sigm.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_abstract_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/speed_test_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_blocksparse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_nnet.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/test_neighbours.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/nnet.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/sigm.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code/ctc_wrapper.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code/corr3d_gemm.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/c_code/corr_gemm.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/conv3d2d.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/nnet/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_fft.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_inc_subtensor.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/mlp_test.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_blas_c.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/_test_mpi_roundtrip.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_mpi.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_extra_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_fourier.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_subtensor.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_raw_random.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_elemwise.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_sharedvar.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_xlogx.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_nlinalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_sort.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_blas_scipy.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_blas.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_merge.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_misc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_keepdims.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_io.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_opt_uncanonicalize.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_complex.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_shared_randomstreams.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_var.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_gc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_casting.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_type_other.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/tests/test_slinalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/inc_code.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/pool.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests/test_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests/test_pool.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests/old_pool_interface.pkl -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/signal/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/opt_uncanonicalize.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/elemwise_cgen.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code/alt_blas_common.h -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code/dimshuffle.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/c_code/alt_blas_template.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/var.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/io.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/tensor/type_other.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gradient.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests/test_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests/test_basic.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests/test_type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list copying /<>/.pybuild/cpython3_3.10_theano/build/theano/typed_list/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin copying /<>/.pybuild/cpython3_3.10_theano/build/theano/bin/theano_cache.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin copying /<>/.pybuild/cpython3_3.10_theano/build/theano/bin/theano_nose.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin copying /<>/.pybuild/cpython3_3.10_theano/build/theano/bin/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/nanguardmode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/sandbox/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/sandbox copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/profiling.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/function.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/builders.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/monitormode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/debugmode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_debugmode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_nanguardmode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_function.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_function_module.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_monitormode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_pfunc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_modes.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_mode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_misc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_shared.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_profiling.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_function_name.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/tests/test_builders.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/sharedvalue.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/mode.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/function_module.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/io.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile copying /<>/.pybuild/cpython3_3.10_theano/build/theano/compile/pfunc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/fft.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/pool.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/subtensor.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/rng_mrg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/ctc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/elemwise.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/linalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/opt_util.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/basic_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/sort.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/blas.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/blocksparse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/multinomial.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/neighbours.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/dnn.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/extra_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/run_dnn_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_fft.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_abstractconv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_extra_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/GpuArray.pkl -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_multinomial.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_subtensor.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_gemmcorr.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/config.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_elemwise.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_pool.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_ctc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_pickle.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_gemmcorr3d.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_sort.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_blas.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_rng_mrg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_others.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_scan.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_misc.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_cgpukernelbase.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/rnn_support.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_blocksparse.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/check_dnn_conv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_dnn.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_basic_ops.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_nnet.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/c_code/tstgpueye.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_neighbours.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_reduction.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/tests/test_linalg.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/nerv.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/fp16_help.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/kernel_codegen.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/nnet.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/opt.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/type.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/conv_desc.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/cudnn_helper.h -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/pool_ave_grad.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_sptf_sampler.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_softmax_grad.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/topk_dense.cu -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/pool_grad_grad.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/topk_common.cuh -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/magma_eigh.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/ctc_wrapper.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_batchnorm.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dimshuffle.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/magma_qr.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/topk_dense_large.cu -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_sptf_gt.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_softmax.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/magma_inv.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_gw.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_sptf_gi.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_rnn_gi.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_batchnorm_base.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/pool_max_grad.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_pool.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_rnn_gw.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/magma_cholesky.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_sptf_grid.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_fwd.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_dropout_fwd.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_dropout_desc.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/corr3d_gemm.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_gi.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_base.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/corr_gemm.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_rnn_desc.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_pool_grad.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/magma_svd.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/pool.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_redux.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_conv_base.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/pool_max_rop.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/dnn_rnn_fwd.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/gpuarray_helper.h -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/blockger.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/c_code/blockgemv.c -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/c_code copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/cudnn_defs.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/gpuarray/reduction.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray copying /<>/.pybuild/cpython3_3.10_theano/build/theano/_version.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/css copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/css/d3-context-menu.css -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/css copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/css/d3viz.css -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/css copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/d3viz.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/js copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js/d3-context-menu.js -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/js copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js/d3viz.js -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/js copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js/d3.v3.min.js -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/js copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js/graphlib-dot.min.js -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/js copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/js/dagre-d3.min.js -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/js copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/formatting.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests/models.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests/test_formatting.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests/test_d3viz.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/html copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/html/template.html -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/html copying /<>/.pybuild/cpython3_3.10_theano/build/theano/d3viz/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz copying /<>/.pybuild/cpython3_3.10_theano/build/theano/version.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano copying /<>/.pybuild/cpython3_3.10_theano/build/theano/updates.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano copying /<>/.pybuild/cpython3_3.10_theano/build/theano/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano copying /<>/.pybuild/cpython3_3.10_theano/build/theano/raise_op.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/burn_gpu.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/cpucount.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/elemwise_time_test.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/gh_api.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/windows.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/elemwise_openmp_speedup.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/check_multi_gpu.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/may_share_memory.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/ordered_set.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/check_blas.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/check_duplicate_key.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc creating /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests/test_may_share_memory.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests/test_pkl_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/tests/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/buildbot_filter.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/doubleop.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/pkl_utils.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/strutil.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/frozendict.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/check_blas_many.sh -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/latence_gpu_transfert.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/safe_asarray.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc copying /<>/.pybuild/cpython3_3.10_theano/build/theano/misc/__init__.py -> /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/conv.py to conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/rng_mrg.py to rng_mrg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/minimal.py to minimal.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/blocksparse.py to blocksparse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/multinomial.py to multinomial.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/neighbours.py to neighbours.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/fourier.py to fourier.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests/test_multinomial.py to test_multinomial.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests/test_multinomial_wo_replacement.py to test_multinomial_wo_replacement.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests/test_rng_mrg.py to test_rng_mrg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/solve.py to solve.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/cuda/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/ops.py to ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/linalg/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sandbox/softsign.py to softsign.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/printing.py to printing.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox/sp2.py to sp2.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox/test_sp.py to test_sp.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox/truedot.py to truedot.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox/sp.py to sp.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sandbox/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/sharedvar.py to sharedvar.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/utils.py to utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/basic.py to basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests/test_opt.py to test_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests/test_utils.py to test_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests/test_sp2.py to test_sp2.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests/test_basic.py to test_basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests/test_type.py to test_type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/opt.py to opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/type.py to type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/sparse/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/pathparse.py to pathparse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/destroyhandler.py to destroyhandler.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/sched.py to sched.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/compilelock.py to compilelock.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/params_type.py to params_type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/graph.py to graph.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/utils.py to utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/lazylinker_c.py to lazylinker_c.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/fg.py to fg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/callcache.py to callcache.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/vm.py to vm.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/null_type.py to null_type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_graph_opt_caching.py to test_graph_opt_caching.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_graph.py to test_graph.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_opt.py to test_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_vm.py to test_vm.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_utils.py to test_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_fg.py to test_fg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_types.py to test_types.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_optdb.py to test_optdb.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_cmodule.py to test_cmodule.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_compiledir.py to test_compiledir.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_sched.py to test_sched.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_toolbox.py to test_toolbox.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_cc.py to test_cc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_link.py to test_link.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_lazy.py to test_lazy.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_params_type.py to test_params_type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_op.py to test_op.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/unify.py to unify.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/compiledir.py to compiledir.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/op.py to op.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/opt.py to opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/link.py to link.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/type.py to type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/cutils.py to cutils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/cmodule.py to cmodule.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/toolbox.py to toolbox.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/cc.py to cc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gof/optdb.py to optdb.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/sharedvar.py to sharedvar.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/basic_scipy.py to basic_scipy.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/basic.py to basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests/test_div_future.py to test_div_future.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests/test_div_no_future.py to test_div_no_future.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests/test_basic.py to test_basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/basic_sympy.py to basic_sympy.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scalar/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compat/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/ifelse.py to ifelse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan_utils.py to scan_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan_views.py to scan_views.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan_op.py to scan_op.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan_checkpoints.py to scan_checkpoints.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan.py to scan.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests/test_scan_utils.py to test_scan_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests/test_scan_opt.py to test_scan_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests/test_scan.py to test_scan.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests/test_scan_checkpoints.py to test_scan_checkpoints.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/scan_opt.py to scan_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/scan_module/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_gradient.py to test_gradient.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_config.py to test_config.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/unittest_tools.py to unittest_tools.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_determinism.py to test_determinism.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/diverse_tests.py to diverse_tests.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/disturb_mem.py to disturb_mem.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/record.py to record.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_pickle_unpickle_theano_fn.py to test_pickle_unpickle_theano_fn.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/breakpoint.py to breakpoint.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_printing.py to test_printing.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_updates.py to test_updates.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_rop.py to test_rop.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/main.py to main.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_dictionary_output.py to test_dictionary_output.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_flake8.py to test_flake8.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_record.py to test_record.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_ifelse.py to test_ifelse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tests/test_breakpoint.py to test_breakpoint.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/configdefaults.py to configdefaults.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/configparser.py to configparser.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/fft.py to fft.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/blas_headers.py to blas_headers.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/subtensor.py to subtensor.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/inplace.py to inplace.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/elemwise.py to elemwise.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/blas_c.py to blas_c.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/raw_random.py to raw_random.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/sort.py to sort.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/sharedvar.py to sharedvar.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/slinalg.py to slinalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/blas.py to blas.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/blas_scipy.py to blas_scipy.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/utils.py to utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/fourier.py to fourier.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nlinalg.py to nlinalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/xlogx.py to xlogx.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/extra_ops.py to extra_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/basic.py to basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/corr3d.py to corr3d.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/conv.py to conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/ctc.py to ctc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/corr.py to corr.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/blocksparse.py to blocksparse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/neighbours.py to neighbours.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/abstract_conv.py to abstract_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/bn.py to bn.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_opt.py to test_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_corr.py to test_corr.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_bn.py to test_bn.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_corr3d.py to test_corr3d.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_ctc.py to test_ctc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_abstract_conv.py to test_abstract_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py to test_blocksparse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/test_neighbours.py to test_neighbours.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/nnet.py to nnet.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/sigm.py to sigm.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/opt.py to opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/nnet/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_fft.py to test_fft.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/mlp_test.py to mlp_test.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_mpi.py to test_mpi.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_opt.py to test_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_fourier.py to test_fourier.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_utils.py to test_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_nlinalg.py to test_nlinalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_sort.py to test_sort.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_blas.py to test_blas.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_merge.py to test_merge.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_misc.py to test_misc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_io.py to test_io.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_basic.py to test_basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_complex.py to test_complex.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_var.py to test_var.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_gc.py to test_gc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_casting.py to test_casting.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_type_other.py to test_type_other.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/tests/test_slinalg.py to test_slinalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/inc_code.py to inc_code.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/pool.py to pool.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/conv.py to conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests/test_conv.py to test_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests/test_pool.py to test_pool.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/signal/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/opt.py to opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/type.py to type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/var.py to var.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/io.py to io.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/tensor/type_other.py to type_other.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gradient.py to gradient.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/basic.py to basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests/test_opt.py to test_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests/test_basic.py to test_basic.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests/test_type.py to test_type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/opt.py to opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/type.py to type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/typed_list/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin/theano_cache.py to theano_cache.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin/theano_nose.py to theano_nose.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/bin/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/nanguardmode.py to nanguardmode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/sandbox/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/profiling.py to profiling.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/function.py to function.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/builders.py to builders.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/monitormode.py to monitormode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/debugmode.py to debugmode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_debugmode.py to test_debugmode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_nanguardmode.py to test_nanguardmode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_ops.py to test_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_function.py to test_function.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_function_module.py to test_function_module.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_monitormode.py to test_monitormode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_pfunc.py to test_pfunc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_modes.py to test_modes.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_mode.py to test_mode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_misc.py to test_misc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_shared.py to test_shared.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_profiling.py to test_profiling.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_function_name.py to test_function_name.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/tests/test_builders.py to test_builders.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/sharedvalue.py to sharedvalue.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/mode.py to mode.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/ops.py to ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/function_module.py to function_module.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/io.py to io.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/compile/pfunc.py to pfunc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/fft.py to fft.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/pool.py to pool.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/subtensor.py to subtensor.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/rng_mrg.py to rng_mrg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/ctc.py to ctc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/elemwise.py to elemwise.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/linalg.py to linalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/opt_util.py to opt_util.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/basic_ops.py to basic_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/sort.py to sort.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/blas.py to blas.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/blocksparse.py to blocksparse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/multinomial.py to multinomial.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/neighbours.py to neighbours.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/dnn.py to dnn.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/extra_ops.py to extra_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/run_dnn_conv.py to run_dnn_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_fft.py to test_fft.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_abstractconv.py to test_abstractconv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_opt.py to test_opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_extra_ops.py to test_extra_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_multinomial.py to test_multinomial.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_subtensor.py to test_subtensor.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_gemmcorr.py to test_gemmcorr.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/config.py to config.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_elemwise.py to test_elemwise.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_pool.py to test_pool.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_ctc.py to test_ctc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_pickle.py to test_pickle.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py to test_gemmcorr3d.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_sort.py to test_sort.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_blas.py to test_blas.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_rng_mrg.py to test_rng_mrg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_others.py to test_others.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_scan.py to test_scan.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_misc.py to test_misc.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py to test_cgpukernelbase.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/rnn_support.py to rnn_support.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_type.py to test_type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_blocksparse.py to test_blocksparse.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/check_dnn_conv.py to check_dnn_conv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_dnn.py to test_dnn.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_basic_ops.py to test_basic_ops.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_nnet.py to test_nnet.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_neighbours.py to test_neighbours.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_reduction.py to test_reduction.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/tests/test_linalg.py to test_linalg.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/nerv.py to nerv.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/fp16_help.py to fp16_help.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/kernel_codegen.py to kernel_codegen.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/nnet.py to nnet.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/opt.py to opt.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/type.py to type.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/cudnn_defs.py to cudnn_defs.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/gpuarray/reduction.py to reduction.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/_version.py to _version.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/d3viz.py to d3viz.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/formatting.py to formatting.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests/models.py to models.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests/test_formatting.py to test_formatting.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests/test_d3viz.py to test_d3viz.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/d3viz/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/version.py to version.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/updates.py to updates.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/raise_op.py to raise_op.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/burn_gpu.py to burn_gpu.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/cpucount.py to cpucount.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/elemwise_time_test.py to elemwise_time_test.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/gh_api.py to gh_api.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/windows.py to windows.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/elemwise_openmp_speedup.py to elemwise_openmp_speedup.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/check_multi_gpu.py to check_multi_gpu.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/may_share_memory.py to may_share_memory.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/ordered_set.py to ordered_set.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/check_blas.py to check_blas.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests/test_may_share_memory.py to test_may_share_memory.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests/test_pkl_utils.py to test_pkl_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/buildbot_filter.py to buildbot_filter.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/doubleop.py to doubleop.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/pkl_utils.py to pkl_utils.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/strutil.py to strutil.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/frozendict.py to frozendict.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/safe_asarray.py to safe_asarray.cpython-310.pyc byte-compiling /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/theano/misc/__init__.py to __init__.cpython-310.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 ... warning: no files found matching 'bin/theano-cache' warning: no files found matching 'bin/theano-nose' adding license file 'LICENSE.txt' writing manifest file 'Theano.egg-info/SOURCES.txt' Copying Theano.egg-info to /<>/debian/python3-theano/usr/lib/python3.10/dist-packages/Theano-1.0.5.egg-info Skipping SOURCES.txt running install_scripts Installing theano-cache script to /<>/debian/python3-theano/usr/share/python3-theano Installing theano-nose script to /<>/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/python3.10/dist-packages/theano/misc/check_blas_many.sh' make[1]: Leaving directory '/<>' debian/rules override_dh_installdocs make[1]: Entering directory '/<>' dh_installdocs -A README.html NEWS.gz dh_installdocs: warning: Cannot auto-detect main package for theano-doc. If the default is wrong, please use --doc-main-package rdfind -outputname /dev/null -makesymlinks true debian/theano-doc Now scanning "debian/theano-doc", found 903 files. Now have 903 files in total. Removed 0 files due to nonunique device and inode. Total size is 44774535 bytes or 43 MiB Removed 754 files due to unique sizes from list. 149 files left. Now eliminating candidates based on first bytes: removed 90 files from list. 59 files left. Now eliminating candidates based on last bytes: removed 4 files from list. 55 files left. Now eliminating candidates based on sha1 checksum: removed 4 files from list. 51 files left. It seems like you have 51 files that are not unique Totally, 2 MiB can be reduced. Now making results file /dev/null Now making symbolic links. creating Making 28 links. symlinks -r -s -c debian/theano-doc absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/blocksparse.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/blocksparse.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/blocksparse.png -> ../_images/blocksparse.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/talk2010.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/talk2010.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/talk2010.png -> ../_images/talk2010.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/index_24_0.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.png -> ../_images/index_24_0.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/392801ba37ca4eae2bb51d2337761db3/mlp2.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/index_24_0.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/392801ba37ca4eae2bb51d2337761db3/mlp2.png -> ../../_images/index_24_0.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/4ef69f71b80f812fbcdeb7ea6879d0bc/mlp2.pdf -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.pdf changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/4ef69f71b80f812fbcdeb7ea6879d0bc/mlp2.pdf -> ../../_static/mlp2.pdf absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict1.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict1.png -> logreg_pydotprint_predict.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/20b32d9a31b4b4d17bd78ea89cd0bf7f942ca4e2.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/1b33d31cbe8de2fe8b124b12109630711296e23a.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/20b32d9a31b4b4d17bd78ea89cd0bf7f942ca4e2.png -> 1b33d31cbe8de2fe8b124b12109630711296e23a.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/15fd0be1176dbd239b3c0b56a82f9da4f86a4402.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/113cd13b930479d0d9ccacba395fcd07a16deadf.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/15fd0be1176dbd239b3c0b56a82f9da4f86a4402.png -> 113cd13b930479d0d9ccacba395fcd07a16deadf.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c70094bc0fe3fe7b7095ba7e190e2502a76f0630.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/129ce145c008edab7996fa6727204b6657cfd39f.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c70094bc0fe3fe7b7095ba7e190e2502a76f0630.png -> 129ce145c008edab7996fa6727204b6657cfd39f.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/f9a76703cb6123c8edcbcf5b0366616e7e3025c6.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/7c9e5500d7458a5c4c11df5e8c2d2056bf23525f.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/f9a76703cb6123c8edcbcf5b0366616e7e3025c6.png -> 7c9e5500d7458a5c4c11df5e8c2d2056bf23525f.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c652a5fd172a0299f43c27a148235103810601c6.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/81b649a2b6988504075c5dabcabf8f477bd54551.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c652a5fd172a0299f43c27a148235103810601c6.png -> 81b649a2b6988504075c5dabcabf8f477bd54551.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/be1b048d4445f9a4358c77b10bdf15680ca28224.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/3da1669dcde39676015018048b9e8713ad95fecb.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/be1b048d4445f9a4358c77b10bdf15680ca28224.png -> 3da1669dcde39676015018048b9e8713ad95fecb.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/de96e75f16aa323c59eb3ddc8e1a9ea7c663504b.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/bc12e2544f3df315cad16d47d774c2dbef0d212f.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/de96e75f16aa323c59eb3ddc8e1a9ea7c663504b.png -> bc12e2544f3df315cad16d47d774c2dbef0d212f.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/d92c69d8ea721bd904f9adb2c76273456b775485.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/129ce145c008edab7996fa6727204b6657cfd39f.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/d92c69d8ea721bd904f9adb2c76273456b775485.png -> 129ce145c008edab7996fa6727204b6657cfd39f.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/732bff8c7901af14d2ffdb94ba7b458c418c63b1.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/5997082b84e7efa9654bd0fa74de767e9054d550.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/732bff8c7901af14d2ffdb94ba7b458c418c63b1.png -> 5997082b84e7efa9654bd0fa74de767e9054d550.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/41504fd0770a99d1e5d481eae0da7afcac88cf6c.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/1f2b8fbc6c314f72d38ab2c74569ed742ab2bae3.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/41504fd0770a99d1e5d481eae0da7afcac88cf6c.png -> 1f2b8fbc6c314f72d38ab2c74569ed742ab2bae3.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/82988b0cd64bad4f4ec3fc9bb3394299cc534385.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/5ef510c56470579e434b1b9e39390870925f6f36.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/82988b0cd64bad4f4ec3fc9bb3394299cc534385.png -> 5ef510c56470579e434b1b9e39390870925f6f36.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/7680bfff75a40873faaedc3192cf6fd0681cbfb7.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/021e5c15fa5021613505552bb4c0acf9b31a3504.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/7680bfff75a40873faaedc3192cf6fd0681cbfb7.png -> 021e5c15fa5021613505552bb4c0acf9b31a3504.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/97d506442e76e26815d2876df0be7cfb733ef169.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/1107c4ff79c90fd1e217a6742ab24dd4b46f4b26.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/97d506442e76e26815d2876df0be7cfb733ef169.png -> 1107c4ff79c90fd1e217a6742ab24dd4b46f4b26.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction1.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction1.png -> logreg_pydotprint_prediction.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train1.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train1.png -> logreg_pydotprint_train.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_opt.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_optimized.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_opt.png -> f_optimized.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft1.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft1.png -> plot_fft.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/same_padding_no_strides_transposed.gif -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/same_padding_no_strides.gif changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/same_padding_no_strides_transposed.gif -> same_padding_no_strides.gif absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction2.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction2.png -> logreg_pydotprint_prediction.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_unopt.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_unopt.png -> f_unoptimized.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict2.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict2.png -> logreg_pydotprint_predict.png absolute: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train2.png -> /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train.png changed: /<>/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train2.png -> logreg_pydotprint_train.png make[1]: Leaving directory '/<>' debian/rules override_dh_sphinxdoc make[1]: Entering directory '/<>' dh_sphinxdoc dh_sphinxdoc: warning: ignoring unknown JavaScript code: debian/theano-doc/usr/share/doc/theano-doc/html/_static/version_switch.js rm -fv debian/theano-doc/usr/share/doc/theano-doc/html/_sources/LICENSE.txt # extra-license-file removed 'debian/theano-doc/usr/share/doc/theano-doc/html/_sources/LICENSE.txt' make[1]: Leaving directory '/<>' debian/rules override_dh_installchangelogs make[1]: Entering directory '/<>' #the -X is meant as "don't try to install upstream changelog, only Debian's" - #906827 dh_installchangelogs -Xtxt make[1]: Leaving directory '/<>' dh_python3 -O--buildsystem=pybuild dh_installsystemduser -O--buildsystem=pybuild dh_lintian -O--buildsystem=pybuild dh_perl -O--buildsystem=pybuild dh_link -O--buildsystem=pybuild dh_strip_nondeterminism -O--buildsystem=pybuild debian/rules override_dh_compress make[1]: Entering directory '/<>' dh_compress -X.py -X.ipynb -X.pdf # save theano-doc/html/_downloads make[1]: Leaving directory '/<>' dh_fixperms -O--buildsystem=pybuild dh_missing -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 -O--buildsystem=pybuild debian/rules override_dh_gencontrol make[1]: Entering directory '/<>' dh_gencontrol -- -VjavascriptBU="node-lodash (= 4.17.21+dfsg+~cs8.31.198.20210220-9), d3 (= 3.5.17-4), " dpkg-gencontrol: warning: package theano-doc: substitution variable ${sphinxdoc:Built-Using} unused, but is defined make[1]: Leaving directory '/<>' dh_md5sums -O--buildsystem=pybuild dh_builddeb -O--buildsystem=pybuild INFO: pkgstriptranslations version 149 pkgstriptranslations: processing python3-theano (in debian/python3-theano); do_strip: , oemstrip: INFO: pkgstriptranslations version 149 pkgstriptranslations: processing theano-doc (in debian/theano-doc); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/theano-doc/DEBIAN/control, package theano-doc, directory debian/theano-doc INFO: pkgstripfiles: waiting for lock (theano-doc) ... pkgstripfiles: processing control file: debian/python3-theano/DEBIAN/control, package python3-theano, directory debian/python3-theano pkgstripfiles: Truncating usr/share/doc/python3-theano/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-theano ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python3-theano' in '../python3-theano_1.0.5+dfsg-5_amd64.deb'. pkgstripfiles: Truncating usr/share/doc/theano-doc/changelog.Debian.gz to topmost ten records pkgstripfiles: Disabled PNG optimization for -doc package theano-doc (to save build time) dpkg-deb: building package 'theano-doc' in '../theano-doc_1.0.5+dfsg-5_all.deb'. dpkg-genbuildinfo --build=binary -O../theano_1.0.5+dfsg-5_amd64.buildinfo dpkg-genchanges --build=binary -mLaunchpad Build Daemon -O../theano_1.0.5+dfsg-5_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-source: info: using options from theano-1.0.5+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 2022-06-23T22:25:18Z Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ theano_1.0.5+dfsg-5_amd64.changes: ---------------------------------- Format: 1.8 Date: Sat, 02 Apr 2022 19:52:33 +0100 Source: theano Binary: python3-theano theano-doc Built-For-Profiles: noudeb Architecture: amd64 all Version: 1.0.5+dfsg-5 Distribution: kinetic Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Rebecca N. Palmer Description: python3-theano - CPU/GPU math expression compiler for Python 3 theano-doc - CPU/GPU math expression compiler for Python (docs) Closes: 1001030 Changes: theano (1.0.5+dfsg-5) unstable; urgency=medium . * Use terser. (Closes: #1001030) * Enable Salsa CI, but skip the build-time tests there. Checksums-Sha1: 4eea6052703c37219ce43aba12b2a0e3c5ab38d2 2150112 python3-theano_1.0.5+dfsg-5_amd64.deb 09c61dd86e9f739f2cb26cc4cc953220e1015ece 10354198 theano-doc_1.0.5+dfsg-5_all.deb fa5f9cb25e07de8e650e9bc68c98cba52724c86f 23052 theano_1.0.5+dfsg-5_amd64.buildinfo Checksums-Sha256: de4140798ff98dddf41a735f01d9e3d1082959ac5b3098bfd64db110c5d9a9c3 2150112 python3-theano_1.0.5+dfsg-5_amd64.deb d8d6d67b5744016096e29668f978db9bc90ca0ec989de76e09026b2006d914f7 10354198 theano-doc_1.0.5+dfsg-5_all.deb bb5e630760f53b587dac2e5658afb71e23722918aa8d598813b7043ea6e3c6c8 23052 theano_1.0.5+dfsg-5_amd64.buildinfo Files: f464721c1f8a94c6d6d3b96d37f81a33 2150112 python optional python3-theano_1.0.5+dfsg-5_amd64.deb 67243b037d07da0ea72eb7951899e15d 10354198 doc optional theano-doc_1.0.5+dfsg-5_all.deb 9be9bcbaac905d98e3e22d3bfd78415e 23052 science optional theano_1.0.5+dfsg-5_amd64.buildinfo /<>/theano_1.0.5+dfsg-5_amd64.changes.new could not be renamed to /<>/theano_1.0.5+dfsg-5_amd64.changes: Illegal seek Distribution field may be wrong!!! +------------------------------------------------------------------------------+ | Buildinfo | +------------------------------------------------------------------------------+ Format: 1.0 Source: theano Binary: python3-theano theano-doc Architecture: all amd64 Version: 1.0.5+dfsg-5 Checksums-Md5: f464721c1f8a94c6d6d3b96d37f81a33 2150112 python3-theano_1.0.5+dfsg-5_amd64.deb 67243b037d07da0ea72eb7951899e15d 10354198 theano-doc_1.0.5+dfsg-5_all.deb Checksums-Sha1: 4eea6052703c37219ce43aba12b2a0e3c5ab38d2 2150112 python3-theano_1.0.5+dfsg-5_amd64.deb 09c61dd86e9f739f2cb26cc4cc953220e1015ece 10354198 theano-doc_1.0.5+dfsg-5_all.deb Checksums-Sha256: de4140798ff98dddf41a735f01d9e3d1082959ac5b3098bfd64db110c5d9a9c3 2150112 python3-theano_1.0.5+dfsg-5_amd64.deb d8d6d67b5744016096e29668f978db9bc90ca0ec989de76e09026b2006d914f7 10354198 theano-doc_1.0.5+dfsg-5_all.deb Build-Origin: Ubuntu Build-Architecture: amd64 Build-Date: Thu, 23 Jun 2022 22:25:17 +0000 Build-Path: /<> Build-Tainted-By: merged-usr-via-aliased-dirs usr-local-has-programs Installed-Build-Depends: autoconf (= 2.71-2), automake (= 1:1.16.5-1.3), autopoint (= 0.21-6), autotools-dev (= 20220109.1), base-files (= 12.2ubuntu1), base-passwd (= 3.5.52build1), bash (= 5.1-6ubuntu1), binutils (= 2.38.50.20220615-4ubuntu1), binutils-common (= 2.38.50.20220615-4ubuntu1), binutils-x86-64-linux-gnu (= 2.38.50.20220615-4ubuntu1), bsdextrautils (= 2.38-4ubuntu1), bsdutils (= 1:2.38-4ubuntu1), build-essential (= 12.9ubuntu3), bzip2 (= 1.0.8-5build1), ca-certificates (= 20211016), chai (= 4.3.6~ds1+~cs9.7.12-3), coreutils (= 8.32-4.1ubuntu1), cpp (= 4:11.2.0-1ubuntu1), cpp-11 (= 11.3.0-3ubuntu1), cython3 (= 0.29.30-1ubuntu1), dash (= 0.5.11+git20210903+057cd650a4ed-8ubuntu1), debconf (= 1.5.79ubuntu1), debhelper (= 13.7.1ubuntu1), debianutils (= 5.7-0.2), debugedit (= 1:5.0-4build1), dh-autoreconf (= 20), dh-python (= 5.20220403), dh-strip-nondeterminism (= 1.13.0-1), diffutils (= 1:3.8-0ubuntu2), docutils-common (= 0.17.1+dfsg-2), dpkg (= 1.21.8ubuntu1), dpkg-dev (= 1.21.8ubuntu1), dvipng (= 1.15-1.1), dwz (= 0.14-1build2), file (= 1:5.41-4), findutils (= 4.8.0-1ubuntu3), fontconfig (= 2.13.1-4.4ubuntu1), fontconfig-config (= 2.13.1-4.4ubuntu1), fonts-dejavu-core (= 2.37-2build1), fonts-font-awesome (= 5.0.10+really4.7.0~dfsg-4.1), fonts-lato (= 2.0-2.1), fonts-lmodern (= 2.005-1), fonts-texgyre (= 20180621-3.1), fonts-urw-base35 (= 20200910-1), g++ (= 4:11.2.0-1ubuntu1), g++-11 (= 11.3.0-3ubuntu1), gcc (= 4:11.2.0-1ubuntu1), gcc-11 (= 11.3.0-3ubuntu1), gcc-11-base (= 11.3.0-3ubuntu1), gcc-12-base (= 12.1.0-2ubuntu1), gettext (= 0.21-6), gettext-base (= 0.21-6), ghostscript (= 9.55.0~dfsg1-0ubuntu5), graphviz (= 2.42.2-7), grep (= 3.7-1build1), groff-base (= 1.22.4-8build1), gzip (= 1.10-4ubuntu4), handlebars (= 3:4.7.7+~4.1.0-1), hostname (= 3.23ubuntu2), init-system-helpers (= 1.63), intltool-debian (= 0.35.0+20060710.5), jupyter-core (= 4.10.0-1), jupyter-nbconvert (= 6.4.4-1), latexmk (= 1:4.77-1), libacl1 (= 2.3.1-1), libann0 (= 1.1.2+doc-7build1), libapache-pom-java (= 18-1), libarchive-zip-perl (= 1.68-1), libasan6 (= 11.3.0-3ubuntu1), libatomic1 (= 12.1.0-2ubuntu1), libattr1 (= 1:2.5.1-1build1), libaudit-common (= 1:3.0.7-1build1), libaudit1 (= 1:3.0.7-1build1), libavahi-client3 (= 0.8-5ubuntu5), libavahi-common-data (= 0.8-5ubuntu5), libavahi-common3 (= 0.8-5ubuntu5), libbinutils (= 2.38.50.20220615-4ubuntu1), libblas-dev (= 3.10.1-2), libblas3 (= 3.10.1-2), libblkid1 (= 2.38-4ubuntu1), libboost-dev (= 1.74.0.3ubuntu7), libboost1.74-dev (= 1.74.0-14ubuntu4), libbrotli1 (= 1.0.9-2build6), libbsd0 (= 0.11.6-1), libbz2-1.0 (= 1.0.8-5build1), libc-ares2 (= 1.18.1-1build1), libc-bin (= 2.35-0ubuntu3), libc-dev-bin (= 2.35-0ubuntu3), libc6 (= 2.35-0ubuntu3), libc6-dev (= 2.35-0ubuntu3), libcairo2 (= 1.16.0-5ubuntu2), libcap-ng0 (= 0.8.3-1), libcap2 (= 1:2.44-1build3), libcc1-0 (= 12.1.0-2ubuntu1), libcdt5 (= 2.42.2-7), libcgraph6 (= 2.42.2-7), libcom-err2 (= 1.46.5-2ubuntu2), libcommons-logging-java (= 1.2-3), libcommons-parent-java (= 43-1), libcrypt-dev (= 1:4.4.27-1), libcrypt1 (= 1:4.4.27-1), libctf-nobfd0 (= 2.38.50.20220615-4ubuntu1), libctf0 (= 2.38.50.20220615-4ubuntu1), libcups2 (= 2.4.2-1ubuntu1), libdatrie1 (= 0.2.13-2), libdb5.3 (= 5.3.28+dfsg1-0.9), libdbus-1-3 (= 1.12.20-2ubuntu4), libdebconfclient0 (= 0.261ubuntu1), libdebhelper-perl (= 13.7.1ubuntu1), libdeflate0 (= 1.10-2), libdpkg-perl (= 1.21.8ubuntu1), libdw1 (= 0.187-1), libelf1 (= 0.187-1), libexpat1 (= 2.4.8-1), libexpat1-dev (= 2.4.8-1), libffi8 (= 3.4.2-4), libfile-stripnondeterminism-perl (= 1.13.0-1), libfontbox-java (= 1:1.8.16-2), libfontconfig1 (= 2.13.1-4.4ubuntu1), libfontenc1 (= 1:1.1.4-1build3), libfreetype6 (= 2.12.1+dfsg-3), libfribidi0 (= 1.0.8-2ubuntu3.1), libgcc-11-dev (= 11.3.0-3ubuntu1), libgcc-s1 (= 12.1.0-2ubuntu1), libgcrypt20 (= 1.10.1-2ubuntu1), libgd3 (= 2.3.0-2ubuntu2), libgdbm-compat4 (= 1.23-1), libgdbm6 (= 1.23-1), libgdk-pixbuf-2.0-0 (= 2.42.8+dfsg-1), libgdk-pixbuf2.0-common (= 2.42.8+dfsg-1), libgfortran5 (= 12.1.0-2ubuntu1), libglib2.0-0 (= 2.72.2-2), libgmp10 (= 2:6.2.1+dfsg-3ubuntu1), libgnutls30 (= 3.7.6-2ubuntu1), libgomp1 (= 12.1.0-2ubuntu1), libgpg-error0 (= 1.45-2), libgprofng0 (= 2.38.50.20220615-4ubuntu1), libgraphite2-3 (= 1.3.14-1build2), libgs9 (= 9.55.0~dfsg1-0ubuntu5), libgs9-common (= 9.55.0~dfsg1-0ubuntu5), libgssapi-krb5-2 (= 1.19.2-2), libgts-0.7-5 (= 0.7.6+darcs121130-5), libgvc6 (= 2.42.2-7), libgvpr2 (= 2.42.2-7), libharfbuzz0b (= 2.7.4-1ubuntu4), libhogweed6 (= 3.7.3-1build2), libice6 (= 2:1.0.10-1build2), libicu71 (= 71.1-3), libidn12 (= 1.38-4build1), libidn2-0 (= 2.3.2-2build1), libijs-0.35 (= 0.35-15build2), libisl23 (= 0.24-2build1), libitm1 (= 12.1.0-2ubuntu1), libjbig0 (= 2.1-3.1build3), libjbig2dec0 (= 0.19-3build2), libjpeg-turbo8 (= 2.1.2-0ubuntu1), libjpeg8 (= 8c-2ubuntu10), libjs-async (= 0.8.0-5), libjs-d3 (= 3.5.17-4), libjs-d3-format (= 1:1.4.1-5.1), libjs-inherits (= 2.0.4-6), libjs-jquery (= 3.6.0+dfsg+~3.5.13-1), libjs-prettify (= 2015.12.04+dfsg-1.1), libjs-regenerate (= 1.4.2-3), libjs-source-map (= 0.7.0++dfsg2+really.0.6.1-9), libjs-sphinxdoc (= 4.5.0-4), libjs-sprintf-js (= 1.1.2+ds1+~1.1.2-1), libjs-terser (= 4.1.2-10), libjs-underscore (= 1.13.3~dfsg+~1.11.4-1), libjs-util (= 0.12.4+~1.0.10-1), libjson-perl (= 4.06000-1), libk5crypto3 (= 1.19.2-2), libkeyutils1 (= 1.6.1-3ubuntu1), libkpathsea6 (= 2022.20220321.62855-4), libkrb5-3 (= 1.19.2-2), libkrb5support0 (= 1.19.2-2), liblab-gamut1 (= 2.42.2-7), liblapack3 (= 3.10.1-2), liblbfgsb0 (= 3.0+dfsg.3-10), liblsan0 (= 12.1.0-2ubuntu1), libltdl7 (= 2.4.7-4), liblz4-1 (= 1.9.3-2build2), liblzma5 (= 5.2.5-2.1), libmagic-mgc (= 1:5.41-4), libmagic1 (= 1:5.41-4), libmd0 (= 1.0.4-1build1), libmount1 (= 2.38-4ubuntu1), libmpc3 (= 1.2.1-2build1), libmpdec3 (= 2.5.1-2build2), libmpfr6 (= 4.1.0-3build3), libncursesw6 (= 6.3+20220423-2), libnettle8 (= 3.7.3-1build2), libnghttp2-14 (= 1.47.0-1), libnode93 (= 16.14.2+dfsg1-1ubuntu3), libnorm1 (= 1.5.9+dfsg-2), libnotify-bin (= 0.7.12-1), libnotify4 (= 0.7.12-1), libnsl-dev (= 1.3.0-2build2), libnsl2 (= 1.3.0-2build2), libopenjp2-7 (= 2.4.0-6), libp11-kit0 (= 0.24.1-1), libpam-modules (= 1.4.0-13ubuntu1), libpam-modules-bin (= 1.4.0-13ubuntu1), libpam-runtime (= 1.4.0-13ubuntu1), libpam0g (= 1.4.0-13ubuntu1), libpango-1.0-0 (= 1.50.7+ds-1), libpangocairo-1.0-0 (= 1.50.7+ds-1), libpangoft2-1.0-0 (= 1.50.7+ds-1), libpaper-utils (= 1.1.28build2), libpaper1 (= 1.1.28build2), libpathplan4 (= 2.42.2-7), libpcre2-8-0 (= 10.40-1), libpcre3 (= 2:8.39-14), libpdfbox-java (= 1:1.8.16-2), libperl5.34 (= 5.34.0-3ubuntu1), libpgm-5.3-0 (= 5.3.128~dfsg-2), libpipeline1 (= 1.5.6-1), libpixman-1-0 (= 0.40.0-1build4), libpng16-16 (= 1.6.37-5), libptexenc1 (= 2022.20220321.62855-4), libpython3-all-dev (= 3.10.4-0ubuntu2), libpython3-dev (= 3.10.4-0ubuntu2), libpython3-stdlib (= 3.10.4-0ubuntu2), libpython3.10 (= 3.10.5-1), libpython3.10-dev (= 3.10.5-1), libpython3.10-minimal (= 3.10.5-1), libpython3.10-stdlib (= 3.10.5-1), libquadmath0 (= 12.1.0-2ubuntu1), libreadline8 (= 8.1.2-1.2), libseccomp2 (= 2.5.4-1ubuntu1), libselinux1 (= 3.4-1), libsigsegv2 (= 2.13-1ubuntu3), libsm6 (= 2:1.2.3-1build2), libsmartcols1 (= 2.38-4ubuntu1), libsodium23 (= 1.0.18-1build2), libsqlite3-0 (= 3.38.5-1), libssl3 (= 3.0.3-5ubuntu3), libstdc++-11-dev (= 11.3.0-3ubuntu1), libstdc++6 (= 12.1.0-2ubuntu1), libsub-override-perl (= 0.09-3), libsynctex2 (= 2022.20220321.62855-4), libsystemd0 (= 249.11-0ubuntu4), libtasn1-6 (= 4.18.0-4build1), libteckit0 (= 2.5.11+ds1-1), libtexlua53-5 (= 2022.20220321.62855-4), libtexluajit2 (= 2022.20220321.62855-4), libthai-data (= 0.1.29-1build1), libthai0 (= 0.1.29-1build1), libtiff5 (= 4.4.0~rc1-1), libtinfo6 (= 6.3+20220423-2), libtirpc-common (= 1.3.2-2build1), libtirpc-dev (= 1.3.2-2build1), libtirpc3 (= 1.3.2-2build1), libtool (= 2.4.7-4), libtsan0 (= 11.3.0-3ubuntu1), libubsan1 (= 12.1.0-2ubuntu1), libuchardet0 (= 0.0.7-1build2), libudev1 (= 249.11-0ubuntu4), libunistring2 (= 1.0-1), libuuid1 (= 2.38-4ubuntu1), libuv1 (= 1.44.1-2), libwebp7 (= 1.2.2-2), libx11-6 (= 2:1.7.5-1), libx11-data (= 2:1.7.5-1), libxau6 (= 1:1.0.9-1build5), libxaw7 (= 2:1.0.14-1), libxcb-render0 (= 1.14-3ubuntu3), libxcb-shm0 (= 1.14-3ubuntu3), libxcb1 (= 1.14-3ubuntu3), libxdmcp6 (= 1:1.1.3-0ubuntu5), libxext6 (= 2:1.3.4-1build1), libxi6 (= 2:1.8-1build1), libxml2 (= 2.9.14+dfsg-1), libxmu6 (= 2:1.1.3-3), libxpm4 (= 1:3.5.12-1build2), libxrender1 (= 1:0.9.10-1.1), libxsimd-dev (= 7.6.0-2), libxt6 (= 1:1.2.1-1), libzmq5 (= 4.3.4-2), libzstd1 (= 1.5.2+dfsg-1), libzzip-0-13 (= 0.13.72+dfsg.1-1.1), linux-libc-dev (= 5.15.0-27.28), login (= 1:4.11.1+dfsg1-2ubuntu1), lsb-base (= 11.1.0ubuntu4), lto-disabled-list (= 27), m4 (= 1.4.18-5ubuntu2), make (= 4.3-4.1build1), man-db (= 2.10.2-1), mawk (= 1.3.4.20200120-3.1), media-types (= 8.0.0), mocha (= 9.2.2+ds1+~cs28.5.6-2), ncurses-base (= 6.3+20220423-2), ncurses-bin (= 6.3+20220423-2), node-abbrev (= 1.1.1+~1.1.2-1), node-ansi-colors (= 4.1.1-3), node-ansi-regex (= 5.0.1-1), node-ansi-styles (= 4.3.0+~4.2.0-1), node-anymatch (= 3.1.2+~cs4.6.1-1), node-archy (= 1.0.0-5), node-argparse (= 2.0.1-2), node-arrify (= 2.0.1-3), node-assert (= 2.0.0+~cs2.4.2-1), node-assertion-error (= 1.1.0-2), node-async (= 0.8.0-5), node-async-each (= 1.0.3-2), node-babel7 (= 7.12.12+~cs150.141.84-8), node-babel7-runtime (= 7.12.12+~cs150.141.84-8), node-balanced-match (= 2.0.0-1), node-binary-extensions (= 2.2.0-2), node-brace-expansion (= 2.0.1-1), node-braces (= 3.0.2+~3.0.1-1), node-browser-stdout (= 1.3.1-6), node-browserify-lite (= 0.5.1+~cs7.1.5-2), node-browserslist (= 4.20.4+~cs5.1.6-1), node-camelcase (= 6.3.0-1), node-caniuse-lite (= 1.0.30001352+dfsg+~1.0.1-1), node-chalk (= 4.1.2-1), node-check-error (= 1.0.2-4), node-chokidar (= 3.5.3-2), node-ci-info (= 3.3.1+~cs4.2.0-1), node-cliui (= 7.0.4+repack+~cs3.1.0-3), node-clone (= 2.1.2-3), node-color-convert (= 2.0.1+~cs2.0.0-1), node-color-name (= 1.1.4+~1.1.1-2), node-commander (= 9.2.0-1), node-commondir (= 1.0.1+~1.0.0-1), node-convert-source-map (= 1.8.0+~1.5.2-2), node-core-js (= 3.8.2-3), node-core-util-is (= 1.0.3-1), node-d3 (= 5.16.0-5), node-d3-array (= 3.1.6+~cs5.0.6-1), node-d3-axis (= 1.0.12-4), node-d3-brush (= 1.1.5-3), node-d3-chord (= 1.0.6-5), node-d3-collection (= 1.0.7-4), node-d3-color (= 1.2.8-3), node-d3-contour (= 1.3.2-6), node-d3-dispatch (= 1.0.6-3), node-d3-drag (= 1.2.5-3), node-d3-dsv (= 1.1.1-5), node-d3-ease (= 1.0.5-4), node-d3-fetch (= 1.2.0-3), node-d3-force (= 1.2.1-3), node-d3-format (= 1:1.4.1-5.1), node-d3-geo (= 1.11.9-4), node-d3-hierarchy (= 1.1.8-4), node-d3-interpolate (= 1.4.0-2), node-d3-path (= 1.0.9-2), node-d3-polygon (= 1.0.5-3), node-d3-quadtree (= 1.0.7-2), node-d3-queue (= 3.0.7-12), node-d3-random (= 1.1.2-3), node-d3-scale (= 2.2.2-4), node-d3-scale-chromatic (= 1.5.0-3), node-d3-selection (= 1.4.0-7), node-d3-shape (= 1.3.7-3), node-d3-time (= 1.0.11-4), node-d3-time-format (= 2.1.3-5), node-d3-timer (= 1.0.10-1), node-d3-transition (= 1.3.2-3), node-d3-voronoi (= 1.1.4-3), node-d3-zoom (= 1.8.3-2), node-dagre-d3-renderer (= 0.6.4+dfsg-4), node-dagre-layout (= 0.8.8+really0.8.5+dfsg-5), node-debbundle-es-to-primitive (= 1.2.1+~cs9.7.25-2), node-debug (= 4.3.4+~cs4.1.7-1), node-decamelize (= 4.0.0-1), node-deep-eql (= 4.0.1-1), node-deep-equal (= 2.0.5+~cs32.11.68-3), node-deep-is (= 0.1.4-1), node-defaults (= 1.0.3+~1.0.3-1), node-define-properties (= 1.1.3-3), node-del (= 6.0.0-1), node-diff (= 5.0.0~dfsg+~5.0.1-3), node-electron-to-chromium (= 1.4.150-1), node-error-ex (= 1.3.2-3), node-es-abstract (= 1.19.5+~cs16.21.25-2), node-es6-error (= 4.1.1-4), node-escape-string-regexp (= 4.0.0-2), node-escodegen (= 2.0.0+dfsg-2), node-esprima (= 4.0.1+ds+~4.0.3-2), node-estraverse (= 5.3.0+ds+~5.1.1-1), node-esutils (= 2.0.3-3), node-fast-levenshtein (= 2.0.6+ds-3), node-fill-range (= 7.0.1+~7.0.0-1), node-find-cache-dir (= 3.3.2+~3.2.1-1), node-find-up (= 6.3.0-7), node-foreground-child (= 2.0.0-4), node-fs-readdir-recursive (= 1.1.0-2), node-fs.realpath (= 1.0.0-3), node-function-bind (= 1.1.1+repacked+~1.0.3-2), node-get-caller-file (= 2.0.5+~cs1.1.1-4), node-get-func-name (= 2.0.0+dfsg-2), node-glob (= 8.0.3+~cs7.6.15-1), node-glob-parent (= 6.0.2+~5.1.1-2), node-globals (= 13.13.0-1), node-globby (= 13.1.1+~cs16.24.39-8), node-graceful-fs (= 4.2.10-1), node-graphlibrary (= 2.2.0+really2.1.8+dfsg-4), node-growl (= 1.10.5-4), node-has-flag (= 4.0.0-2), node-he (= 1.2.0-3), node-hosted-git-info (= 5.0.0-1), node-iconv-lite (= 0.6.3-2), node-ignore (= 5.2.0-2), node-imurmurhash (= 0.1.4+dfsg+~0.1.1-1), node-indent-string (= 4.0.0-2), node-inflight (= 1.0.6-2), node-inherits (= 2.0.4-6), node-is-arrayish (= 0.3.2-3), node-is-binary-path (= 2.1.0-4), node-is-buffer (= 2.0.5-2), node-is-extglob (= 2.1.1-4), node-is-glob (= 4.0.3-1), node-is-number (= 7.0.0-3), node-is-path-cwd (= 2.2.0-2), node-is-path-inside (= 3.0.3-1), node-is-plain-obj (= 3.0.0-2), node-is-stream (= 3.0.0-4), node-is-windows (= 1.0.2+~cs1.0.0-1), node-isarray (= 2.0.5-4), node-isexe (= 2.0.0+~2.0.1-5), node-isobject (= 4.0.0-2), node-istanbul (= 0.4.5+repack10+~cs97.25.57-3), node-js-tokens (= 7.0.0-1), node-js-yaml (= 4.1.0+dfsg+~4.0.5-6), node-jsesc (= 3.0.2+~3.0.1-1), node-json-parse-better-errors (= 1.0.2+~cs3.3.1-2), node-json5 (= 2.2.0+dfsg-1), node-kind-of (= 6.0.3+dfsg-2), node-levn (= 0.4.1+dfsg-2), node-locate-path (= 7.1.0-6), node-lodash (= 4.17.21+dfsg+~cs8.31.198.20210220-9), node-lodash-packages (= 4.17.21+dfsg+~cs8.31.198.20210220-9), node-lru-cache (= 6.0.0+~5.1.1-1), node-make-dir (= 3.1.0-2), node-micromatch (= 4.0.5+~4.0.2-1), node-minimatch (= 5.1.0+~3.0.5-1), node-minimist (= 1.2.6+~cs5.3.2-1), node-mkdirp (= 1.0.4+~1.0.2-3), node-ms (= 2.1.3+~cs0.7.31-2), node-n3 (= 1.16.1+~1.2.3+~1.10.4-1), node-neo-async (= 2.6.2+~cs3.0.0-2), node-nopt (= 5.0.0-3), node-normalize-package-data (= 4.0.0+~2.4.1-1), node-normalize-path (= 3.0.0-3), node-npm-run-path (= 5.1.0+~4.0.0-7), node-object-assign (= 4.1.1-6), node-object-inspect (= 1.11.0+~cs1.8.1-3), node-once (= 1.4.0-5), node-optimist (= 0.6.1+~0.0.30-2), node-optionator (= 0.9.1+dfsg+~cs1.2.3-1), node-p-limit (= 4.0.0+~cs4.0.0-5), node-p-locate (= 6.0.0-11), node-p-map (= 4.0.0+~3.1.0+~3.0.1-1), node-parse-json (= 5.2.0+~cs5.1.7-1), node-path-dirname (= 1.0.2-2), node-path-exists (= 5.0.0-7), node-path-is-absolute (= 2.0.0-2), node-path-is-inside (= 1.0.2+~1.0.0-1), node-path-type (= 4.0.0-2), node-pathval (= 1.1.1-2), node-pegjs (= 0.10.0+~0.10.3-2), node-pend (= 1.2.0-5), node-picocolors (= 1.0.0-3), node-pify (= 5.0.0+~cs5.0.1-1), node-pkg-dir (= 5.0.0-1), node-postcss (= 8.4.8+~cs7.3.21-2), node-prelude-ls (= 1.2.1+dfsg-3), node-process-nextick-args (= 2.0.1-3), node-quick-lru (= 5.1.1-1), node-randombytes (= 2.1.0+~2.0.0-1), node-read-pkg (= 5.2.0-2), node-readable-stream (= 3.6.0+~cs3.0.0-3), node-readdirp (= 3.6.0-1), node-regenerate (= 1.4.2-3), node-regenerate-unicode-properties (= 10.0.1+ds-2), node-regenerator-runtime (= 0.15.0+~0.10.8-2), node-regenerator-transform (= 0.15.0+~0.10.8-2), node-regexpu-core (= 4.8.0-4), node-regjsgen (= 0.7.1+ds-1), node-regjsparser (= 0.8.4+ds-1), node-repeat-string (= 1.6.1+repack-1), node-require-directory (= 2.1.1+~2.1.2-1), node-resolve (= 1.22.0+~cs5.29.10-2), node-resolve-from (= 5.0.0+~3.1.0+~3.3.0+~2.0.0-1), node-rimraf (= 3.0.2-2), node-rw (= 1.3.3-5), node-safe-buffer (= 5.2.1+~cs2.1.2-3), node-semver (= 7.3.5+~7.3.9-1), node-serialize-javascript (= 6.0.0-1), node-set-immediate-shim (= 2.0.0-2), node-shebang-command (= 2.0.0-1), node-shebang-regex (= 3.0.0-2), node-signal-exit (= 3.0.7+~3.0.1-1), node-slash (= 4.0.0-3), node-slice-ansi (= 5.0.0+~cs9.0.0-4), node-source-map (= 0.7.0++dfsg2+really.0.6.1-9), node-source-map-support (= 0.5.21+ds+~0.5.4-1), node-spdx-correct (= 3.1.1-2), node-spdx-exceptions (= 2.3.0-2), node-spdx-expression-parse (= 3.0.1+~3.0.1-1), node-spdx-license-ids (= 3.0.11+repack1-1), node-sprintf-js (= 1.1.2+ds1+~1.1.2-1), node-string-decoder (= 1.3.0-6), node-string-width (= 4.2.3+~cs13.2.3-1), node-strip-ansi (= 6.0.1-1), node-strip-bom (= 4.0.0-2), node-strip-json-comments (= 4.0.0-4), node-supports-color (= 8.1.1+~8.1.1-1), node-terser (= 4.1.2-10), node-to-fast-properties (= 3.0.1-2), node-to-regex-range (= 5.0.1-4), node-type-check (= 0.4.0+dfsg-3), node-type-detect (= 4.0.8-3), node-unicode-canonical-property-names-ecmascript (= 2.0.0-2), node-unicode-match-property-ecmascript (= 2.0.0-1), node-unicode-match-property-value-ecmascript (= 2.0.0+ds-2), node-unicode-property-aliases-ecmascript (= 2.0.0+ds-2), node-util (= 0.12.4+~1.0.10-1), node-util-deprecate (= 1.0.2-3), node-uuid (= 8.3.2+~8.3.3-2), node-v8flags (= 3.2.0-3), node-validate-npm-package-license (= 3.0.4-2), node-wcwidth.js (= 1.0.2-1), node-which (= 2.0.2+~cs1.3.2-2), node-wide-align (= 1.1.3-4), node-wordwrap (= 1.0.0-4), node-wrap-ansi (= 8.0.1+~8.0.1-2), node-wrappy (= 1.0.2-3), node-write-file-atomic (= 4.0.1+~4.0.0-2), node-y18n (= 5.0.8+~5.0.0-2), node-yallist (= 4.0.0+~4.0.1-1), node-yargs (= 16.2.0+~16.0.4-3), node-yargs-parser (= 21.0.1+~21.0.0-1), nodejs (= 16.14.2+dfsg1-1ubuntu3), openssl (= 3.0.3-5ubuntu3), patch (= 2.7.6-7build2), perl (= 5.34.0-3ubuntu1), perl-base (= 5.34.0-3ubuntu1), perl-modules-5.34 (= 5.34.0-3ubuntu1), po-debconf (= 1.0.21+nmu1), poppler-data (= 0.4.11-1), preview-latex-style (= 12.2-1ubuntu1), python-babel-localedata (= 2.8.0+dfsg.1-7), python3 (= 3.10.4-0ubuntu2), python3-alabaster (= 0.7.12-1), python3-all (= 3.10.4-0ubuntu2), python3-all-dev (= 3.10.4-0ubuntu2), python3-attr (= 21.2.0-1), python3-babel (= 2.8.0+dfsg.1-7), python3-backcall (= 0.2.0-3), python3-beniget (= 0.4.1-2), python3-bleach (= 4.1.0-2), python3-bs4 (= 4.11.1-1), python3-certifi (= 2020.6.20-1), python3-cffi-backend (= 1.15.0-1build2), python3-chardet (= 4.0.0-2), python3-dateutil (= 2.8.1-6), python3-decorator (= 4.4.2-0ubuntu1), python3-defusedxml (= 0.7.1-1), python3-dev (= 3.10.4-0ubuntu2), python3-distutils (= 3.10.4-0ubuntu2), python3-docutils (= 0.17.1+dfsg-2), python3-entrypoints (= 0.4-1), python3-fastjsonschema (= 2.15.1-2), python3-gast (= 0.5.2-2), python3-html5lib (= 1.1-3), python3-idna (= 3.3-1), python3-imagesize (= 1.3.0-1), python3-importlib-metadata (= 4.6.4-1), python3-ipykernel (= 6.13.1-2), python3-ipython (= 7.31.1-1), python3-jedi (= 0.18.0-1), python3-jinja2 (= 3.0.3-1), python3-jsonschema (= 3.2.0-0ubuntu2), python3-jupyter-client (= 7.3.4-1), python3-jupyter-core (= 4.10.0-1), python3-jupyterlab-pygments (= 0.2.2-1), python3-lib2to3 (= 3.10.4-0ubuntu2), python3-markupsafe (= 2.0.1-2build1), python3-matplotlib-inline (= 0.1.3-1), python3-minimal (= 3.10.4-0ubuntu2), python3-more-itertools (= 8.10.0-2), python3-mpmath (= 1.2.1-2), python3-nbclient (= 0.6.4-1), python3-nbconvert (= 6.4.4-1), python3-nbformat (= 5.4.0-2), python3-nest-asyncio (= 1.5.4-1), python3-nose (= 1.3.7-8), python3-numpy (= 1:1.21.5-1build2), python3-packaging (= 21.3-1), python3-pandocfilters (= 1.5.0-1), python3-parameterized (= 0.8.1-3), python3-parso (= 0.8.1-1), python3-pexpect (= 4.8.0-2ubuntu1), python3-pickleshare (= 0.7.5-5), python3-pkg-resources (= 59.6.0-1.2), python3-ply (= 3.11-5), python3-prompt-toolkit (= 3.0.29-1), python3-psutil (= 5.9.0-1build1), python3-ptyprocess (= 0.7.0-3), python3-py (= 1.10.0-1), python3-pydot (= 1.4.2-1build1), python3-pygments (= 2.11.2+dfsg-2), python3-pyparsing (= 3.0.7-2), python3-pyrsistent (= 0.18.1-1build1), python3-pythran (= 0.10.0+ds2-8), python3-requests (= 2.27.1+dfsg-1ubuntu2), python3-roman (= 3.3-1), python3-scipy (= 1.8.0-1exp2ubuntu1), python3-setuptools (= 59.6.0-1.2), python3-six (= 1.16.0-3ubuntu1), python3-snowballstemmer (= 2.2.0-1build1), python3-soupsieve (= 2.3.2-1), python3-sphinx (= 4.5.0-4), python3-sphinx-rtd-theme (= 1.0.0+dfsg-1), python3-sympy (= 1.10.1-3), python3-testpath (= 0.6.0+dfsg-1), python3-tornado (= 6.1.0-3build1), python3-traitlets (= 5.3.0-1), python3-tz (= 2022.1-1), python3-urllib3 (= 1.26.9-1), python3-wcwidth (= 0.2.5+dfsg1-1), python3-webencodings (= 0.5.1-4), python3-zipp (= 1.0.0-4), python3-zmq (= 22.3.0-1build1), python3.10 (= 3.10.5-1), python3.10-dev (= 3.10.5-1), python3.10-minimal (= 3.10.5-1), rdfind (= 1.5.0-1.1), readline-common (= 8.1.2-1.2), rpcsvc-proto (= 1.4.2-0ubuntu6), sed (= 4.8-1ubuntu2), sensible-utils (= 0.0.17), sgml-base (= 1.30), shared-mime-info (= 2.2-1), sphinx-common (= 4.5.0-4), sphinx-rtd-theme-common (= 1.0.0+dfsg-1), symlinks (= 1.4-4), sysvinit-utils (= 3.01-1ubuntu1), t1utils (= 1.41-4build2), tar (= 1.34+dfsg-1build3), tex-common (= 6.17), tex-gyre (= 20180621-3.1), texlive-base (= 2022.20220405-2), texlive-binaries (= 2022.20220321.62855-4), texlive-fonts-recommended (= 2022.20220405-2), texlive-latex-base (= 2022.20220405-2), texlive-latex-extra (= 2022.20220405-3), texlive-latex-recommended (= 2022.20220405-2), texlive-pictures (= 2022.20220405-2), tzdata (= 2022a-0ubuntu1), ucf (= 3.0043), uglifyjs.terser (= 4.1.2-10), util-linux (= 2.38-4ubuntu1), util-linux-extra (= 2.38-4ubuntu1), x11-common (= 1:7.7+23ubuntu2), xdg-utils (= 1.1.3-4.1ubuntu2), xfonts-encodings (= 1:1.0.5-0ubuntu2), xfonts-utils (= 1:7.7+6build2), xml-core (= 0.18+nmu1), xz-utils (= 5.2.5-2.1), zlib1g (= 1:1.2.11.dfsg-2ubuntu9), zlib1g-dev (= 1:1.2.11.dfsg-2ubuntu9) Environment: DEB_BUILD_OPTIONS="noautodbgsym parallel=4" DEB_BUILD_PROFILES="noudeb" LANG="C.UTF-8" LC_ALL="C.UTF-8" SOURCE_DATE_EPOCH="1648925553" +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ python3-theano_1.0.5+dfsg-5_amd64.deb ------------------------------------- new Debian package, version 2.0. size 2150112 bytes: control archive=12110 bytes. 1370 bytes, 24 lines control 42486 bytes, 443 lines md5sums 275 bytes, 12 lines * postinst #!/bin/sh 419 bytes, 12 lines * prerm #!/bin/sh Package: python3-theano Source: theano Version: 1.0.5+dfsg-5 Architecture: amd64 Maintainer: Ubuntu Developers Original-Maintainer: Debian Science Maintainers Installed-Size: 11755 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 (= 3.5.17-4), node-lodash (= 4.17.21+dfsg+~cs8.31.198.20210220-9) Section: python Priority: optional Homepage: http://www.deeplearning.net/software/theano/ Description: CPU/GPU math expression compiler for Python 3 Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. . 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./usr/share/doc/python3-theano/copyright drwxr-xr-x root/root 0 2022-04-02 18:52 ./usr/share/lintian/ drwxr-xr-x root/root 0 2022-04-02 18:52 ./usr/share/lintian/overrides/ -rw-r--r-- root/root 326 2021-11-14 13:42 ./usr/share/lintian/overrides/python3-theano drwxr-xr-x root/root 0 2022-04-02 18:52 ./usr/share/python3-theano/ -rwxr-xr-x root/root 965 2022-04-02 18:52 ./usr/share/python3-theano/theano-cache -rwxr-xr-x root/root 963 2022-04-02 18:52 ./usr/share/python3-theano/theano-nose theano-doc_1.0.5+dfsg-5_all.deb ------------------------------- new Debian package, version 2.0. size 10354198 bytes: control archive=20591 bytes. 1108 bytes, 22 lines control 68680 bytes, 670 lines md5sums Package: theano-doc Source: theano Version: 1.0.5+dfsg-5 Architecture: all Maintainer: Ubuntu Developers Original-Maintainer: Debian Science Maintainers Installed-Size: 22581 Depends: libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.0.0+dfsg) Suggests: python3-theano Built-Using: d3 (= 3.5.17-4), node-lodash (= 4.17.21+dfsg+~cs8.31.198.20210220-9) Section: doc Priority: optional Homepage: http://www.deeplearning.net/software/theano/ Description: CPU/GPU math expression compiler for Python (docs) Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. . 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root/root 5214 2022-04-02 18:52 ./usr/share/doc/theano-doc/html/tutorial/symbolic_graphs.html -rw-r--r-- root/root 65425 2022-04-02 18:52 ./usr/share/doc/theano-doc/html/tutorial/using_gpu.html -rw-r--r-- root/root 18493 2022-04-02 18:52 ./usr/share/doc/theano-doc/html/tutorial/using_multi_gpu.html -rw-r--r-- root/root 10402 2022-04-02 18:52 ./usr/share/doc/theano-doc/html/updating.html +------------------------------------------------------------------------------+ | Post Build | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Purging /<> Not removing build depends: as requested +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: amd64 Build Type: binary Build-Space: 1158956 Build-Time: 9567 Distribution: kinetic Host Architecture: amd64 Install-Time: 101 Job: theano_1.0.5+dfsg-5.dsc Machine Architecture: amd64 Package: theano Package-Time: 9671 Source-Version: 1.0.5+dfsg-5 Space: 1158956 Status: successful Version: 1.0.5+dfsg-5 -------------------------------------------------------------------------------- Finished at 2022-06-23T22:25:18Z Build needed 02:41:11, 1158956k disk space Adding user buildd to group lxd RUN: /usr/share/launchpad-buildd/bin/in-target scan-for-processes --backend=chroot --series=kinetic --arch=amd64 PACKAGEBUILD-24080442 Scanning for processes to kill in build PACKAGEBUILD-24080442