<86>Mar 15 12:24:15 userdel[52854]: delete user 'rooter' <86>Mar 15 12:24:15 userdel[52854]: removed group 'rooter' owned by 'rooter' <86>Mar 15 12:24:15 userdel[52854]: removed shadow group 'rooter' owned by 'rooter' <86>Mar 15 12:24:15 groupadd[52862]: group added to /etc/group: name=rooter, GID=555 <86>Mar 15 12:24:15 groupadd[52862]: group added to /etc/gshadow: name=rooter <86>Mar 15 12:24:15 groupadd[52862]: new group: name=rooter, GID=555 <86>Mar 15 12:24:15 useradd[52871]: new user: name=rooter, UID=555, GID=555, home=/root, shell=/bin/bash <86>Mar 15 12:24:15 userdel[52922]: delete user 'builder' <86>Mar 15 12:24:15 userdel[52922]: removed group 'builder' owned by 'builder' <86>Mar 15 12:24:15 userdel[52922]: removed shadow group 'builder' owned by 'builder' <86>Mar 15 12:24:15 groupadd[53025]: group added to /etc/group: name=builder, GID=556 <86>Mar 15 12:24:15 groupadd[53025]: group added to /etc/gshadow: name=builder <86>Mar 15 12:24:15 groupadd[53025]: new group: name=builder, GID=556 <86>Mar 15 12:24:15 useradd[53033]: new user: name=builder, UID=556, GID=556, home=/usr/src, shell=/bin/bash <13>Mar 15 12:24:18 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Mar 15 12:24:18 rpmi: libexpat-2.2.4-alt1 1503305345 installed <13>Mar 15 12:24:18 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>Mar 15 12:24:18 rpmi: libp11-kit-0.23.9-alt5 1525798298 installed <13>Mar 15 12:24:18 rpmi: rpm-macros-alternatives-0.5.0-alt1 sisyphus+221902.300.4.1 1550587121 installed <13>Mar 15 12:24:18 rpmi: alternatives-0.5.0-alt1 sisyphus+221902.300.4.1 1550587121 installed <13>Mar 15 12:24:18 rpmi: ca-certificates-2019.02.01-alt1 sisyphus+220384.200.1.1 1549032756 installed <13>Mar 15 12:24:18 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Mar 15 12:24:18 rpmi: p11-kit-trust-0.23.9-alt5 1525798298 installed <13>Mar 15 12:24:18 rpmi: libcrypto1.1-1.1.0j-alt2 sisyphus+223638.100.2.1 1551791072 installed <13>Mar 15 12:24:19 rpmi: libssl1.1-1.1.0j-alt2 sisyphus+223638.100.2.1 1551791072 installed <13>Mar 15 12:24:19 rpmi: python3-3.6.8-alt1 sisyphus+220164.200.3.1 1548842636 installed <13>Mar 15 12:24:19 rpmi: python3-base-3.6.8-alt1 sisyphus+220164.200.3.1 1548842636 installed <13>Mar 15 12:24:19 rpmi: libpython3-3.6.8-alt1 sisyphus+220164.200.3.1 1548842636 installed <13>Mar 15 12:24:19 rpmi: tests-for-installed-python3-pkgs-0.1.13.1-alt2 1535450458 installed <13>Mar 15 12:24:19 rpmi: rpm-build-python3-0.1.13.1-alt2 1535450458 installed <13>Mar 15 12:25:41 rpmi: libwayland-client-1.16.0-alt1 1535614871 installed <13>Mar 15 12:25:41 rpmi: perl-HTTP-Date-6.02-alt1 1348645274 installed <13>Mar 15 12:25:41 rpmi: libpng16-1.6.36-alt1 sisyphus+219478.100.1.1 1547633314 installed <13>Mar 15 12:25:41 rpmi: perl-XML-NamespaceSupport-1.12-alt1 1491296348 installed <13>Mar 15 12:25:41 rpmi: libjpeg-2:1.5.1-alt1 1498218318 installed <13>Mar 15 12:25:41 rpmi: libidn2-2.1.1-alt1 sisyphus+221274.100.1.2 1549951289 installed <13>Mar 15 12:25:41 rpmi: libopenblas-0.2.20-alt1 1527005646 installed <13>Mar 15 12:25:41 rpmi: libsqlite3-3.26.0-alt2 sisyphus+220766.100.5.1 1549611685 installed <13>Mar 15 12:25:41 rpmi: liblcms2-2.9-alt1 1516411892 installed <13>Mar 15 12:25:41 rpmi: libglvnd-7:1.1.0-alt3 sisyphus.215982.100 1541498632 installed <13>Mar 15 12:25:41 rpmi: libwayland-server-1.16.0-alt1 1535614871 installed <13>Mar 15 12:25:41 rpmi: perl-LWP-MediaTypes-6.02-alt1 1329754558 installed <13>Mar 15 12:25:41 rpmi: perl-Compress-Raw-Zlib-2.084-alt1.1 sisyphus+219907.700.1.1 1548343625 installed <13>Mar 15 12:25:41 rpmi: perl-libnet-1:3.11-alt1 1511423541 installed <13>Mar 15 12:25:41 rpmi: perl-XML-SAX-Base-1.09-alt1 1494364363 installed <13>Mar 15 12:25:41 rpmi: libnettle6-3.4.1-alt1 sisyphus.217427.100 1544107917 installed <13>Mar 15 12:25:41 rpmi: libICE-1.0.9-alt1 1409902721 installed <13>Mar 15 12:25:41 rpmi: libSM-1.2.3-alt1 sisyphus.215747.100 1540812795 installed <13>Mar 15 12:25:41 rpmi: libhogweed4-3.4.1-alt1 sisyphus.217427.100 1544107917 installed <13>Mar 15 12:25:41 rpmi: libgnutls30-3.6.6-alt1 sisyphus+219978.100.1.1 1548422819 installed <13>Mar 15 12:25:41 rpmi: libjasper-2.0.14-alt1 1530105217 installed <13>Mar 15 12:25:41 rpmi: libtiff5-4.0.3-alt1 1348347501 installed <13>Mar 15 12:25:41 rpmi: perl-File-Listing-6.04-alt1 1329758996 installed <13>Mar 15 12:25:41 rpmi: libwayland-cursor-1.16.0-alt1 1535614871 installed <13>Mar 15 12:25:41 rpmi: libwayland-egl-4:18.1.0-alt1 1535614871 installed <13>Mar 15 12:25:41 rpmi: python-module-z3c-3.0.0-alt3 sisyphus+220440.100.1.1 1549119447 installed <13>Mar 15 12:25:41 rpmi: python-module-ordereddict-1.1-alt1.1 1321445242 installed <13>Mar 15 12:25:41 rpmi: python-module-subprocess32-3.2.7-alt1.1 1517926307 installed <13>Mar 15 12:25:42 rpmi: python-module-kiwisolver-0.1.3-alt1.git20140712.1 1517774364 installed <13>Mar 15 12:25:42 rpmi: pytz-zoneinfo-1:2016.10-alt1 1484291011 installed <13>Mar 15 12:25:42 rpmi: python-module-certifi-2016.9.26-alt1 1484206868 installed <13>Mar 15 12:25:42 rpmi: python-module-backports_abc-0.5-alt2 1496066733 installed <13>Mar 15 12:25:42 rpmi: libnumpy-1:1.15.4-alt1 sisyphus+224328.100.1.2 1552246396 installed <13>Mar 15 12:25:42 rpmi: libxblas-1.0.248-alt1.1 1496143682 installed <13>Mar 15 12:25:42 rpmi: libxkbcommon-0.8.4-alt1 sisyphus+222759.100.1.1 1551009799 installed <13>Mar 15 12:25:42 rpmi: libgudev-1:232-alt3 1523738518 installed <13>Mar 15 12:25:42 rpmi: udev-rules-1:241-alt3 sisyphus+222052.100.2.1 1550680909 installed <13>Mar 15 12:25:42 rpmi: libquadmath0-8.3.1-alt2 sisyphus+224979.100.1.1 1552540396 installed <13>Mar 15 12:25:42 rpmi: libgfortran5-8.3.1-alt2 sisyphus+224979.100.1.1 1552540396 installed <13>Mar 15 12:25:42 rpmi: liblapack-1:3.8.0-alt3 sisyphus+221521.100.1.1 1550134903 installed <13>Mar 15 12:25:42 rpmi: libfribidi-1.0.5-alt1 1532424345 installed <13>Mar 15 12:25:42 rpmi: libepoxy-1.5.3-alt1 sisyphus.214119.100 1538723829 installed <13>Mar 15 12:25:42 rpmi: libdatrie-0.2.9-alt1_6 1511686676 installed <13>Mar 15 12:25:42 rpmi: libthai-0.1.28-alt1_1 sisyphus.214516.100 1539257851 installed <13>Mar 15 12:25:42 rpmi: publicsuffix-list-dafsa-20181106-alt1 sisyphus.216228.100 1541611754 installed <13>Mar 15 12:25:42 rpmi: libpsl-0.20.2-alt2 sisyphus+222635.100.1.1 1550951841 installed <13>Mar 15 12:25:42 rpmi: libnghttp2-1.34.0-alt1 sisyphus+222625.100.1.1 1550947259 installed <13>Mar 15 12:25:42 rpmi: libusb-1.0.22-alt1 1525452055 installed <13>Mar 15 12:25:42 rpmi: libpixman-3:0.38.0-alt1 sisyphus+221327.100.1.1 1549959657 installed <13>Mar 15 12:25:42 rpmi: libbrotlicommon-1.0.7-alt1 sisyphus.215491.100 1540428597 installed <13>Mar 15 12:25:42 rpmi: libbrotlidec-1.0.7-alt1 sisyphus.215491.100 1540428597 installed <13>Mar 15 12:25:42 rpmi: libgraphite2-1.3.13-alt1 sisyphus.218545.100 1545686511 installed <13>Mar 15 12:25:42 rpmi: libharfbuzz-2.2.0-alt1 sisyphus.218134.500 1545261518 installed <13>Mar 15 12:25:42 rpmi: libfreetype-2.9.1-alt1.S1 1530781053 installed <13>Mar 15 12:25:42 rpmi: fontconfig-2.13.1-alt1 sisyphus.215917.100 1540973886 installed Updating fonts cache: <29>Mar 15 12:25:43 fontconfig: Updating fonts cache: succeeded [ DONE ] <13>Mar 15 12:25:43 rpmi: libxshmfence-1.3-alt1 sisyphus+223149.1000.2.1 1551268571 installed <13>Mar 15 12:25:43 rpmi: libpciaccess-1:0.14-alt1 1528969252 installed <13>Mar 15 12:25:43 rpmi: libdrm-1:2.4.97-alt1 sisyphus+220483.100.1.1 1549270242 installed <13>Mar 15 12:25:43 rpmi: libgbm-4:18.3.4-alt1 sisyphus+222018.100.1.1 1550567661 installed <13>Mar 15 12:25:43 rpmi: perl-Try-Tiny-0.30-alt1 1514318058 installed <13>Mar 15 12:25:43 rpmi: perl-IO-Socket-IP-0.39-alt1 1494508514 installed <13>Mar 15 12:25:43 rpmi: perl-Compress-Raw-Bzip2-2.084-alt1.1 sisyphus+219907.1000.1.1 1548343668 installed <13>Mar 15 12:25:43 rpmi: perl-HTML-Tagset-3.20-alt2 1317725093 installed <13>Mar 15 12:25:43 rpmi: perl-Term-ANSIColor-4.06-alt1 1479407083 installed <13>Mar 15 12:25:43 rpmi: perl-Data-Dump-1.23-alt1 1444601978 installed <13>Mar 15 12:25:43 rpmi: perl-Filter-1.59-alt1.1 sisyphus+219907.400.1.1 1548343389 installed <13>Mar 15 12:25:43 rpmi: perl-Encode-3.01-alt1 sisyphus+224923.100.1.1 1552474122 installed <13>Mar 15 12:25:43 rpmi: perl-URI-1.76-alt1 sisyphus+220243.100.1.1 1548863244 installed <13>Mar 15 12:25:43 rpmi: perl-IO-Compress-2.084-alt1 sisyphus+219744.100.2.1 1548168679 installed <13>Mar 15 12:25:43 rpmi: perl-Net-HTTP-6.18-alt1 1526560501 installed <13>Mar 15 12:25:43 rpmi: perl-HTML-Parser-3.72-alt1.2 sisyphus+219907.600.1.1 1548343581 installed <13>Mar 15 12:25:43 rpmi: perl-WWW-RobotRules-6.02-alt1 1329756211 installed <13>Mar 15 12:25:43 rpmi: perl-Encode-Locale-1.05-alt1 1444608613 installed <13>Mar 15 12:25:43 rpmi: perl-IO-HTML-1.001-alt1 1404821752 installed <13>Mar 15 12:25:43 rpmi: perl-HTTP-Message-6.18-alt1 1528288416 installed <13>Mar 15 12:25:43 rpmi: perl-HTTP-Cookies-6.04-alt1 1504116575 installed <13>Mar 15 12:25:43 rpmi: perl-HTTP-Negotiate-6.01-alt1 1329760563 installed <13>Mar 15 12:25:43 rpmi: perl-libwww-6.37-alt1 sisyphus+224063.100.1.1 1551968725 installed <13>Mar 15 12:25:43 rpmi: perl-XML-LibXML-2.0134-alt1 sisyphus+221347.100.1.1 1549969058 installed <13>Mar 15 12:25:43 rpmi: perl-XML-SAX-1.00-alt1 1519094959 installed <13>Mar 15 12:25:43 rpmi: perl-XML-Simple-2.25-alt1 1521437714 installed <13>Mar 15 12:25:43 rpmi: icon-naming-utils-0.8.90-alt1 1236573102 installed <13>Mar 15 12:25:44 rpmi: icon-theme-adwaita-3.30.1-alt1 sisyphus.216736.100 1542889653 installed <13>Mar 15 12:25:44 rpmi: libgdk-pixbuf-locales-2.38.1-alt1 sisyphus+223283.100.1.1 1551374215 installed <13>Mar 15 12:25:44 rpmi: gtk+3-themes-incompatible-3.20-alt3 1461944560 installed <13>Mar 15 12:25:44 rpmi: libproxy-0.4.15-alt2 sisyphus+222634.100.1.1 1550954627 installed <13>Mar 15 12:25:44 rpmi: libatk-locales-2.30.0-alt1 sisyphus.212779.100 1536768328 installed <13>Mar 15 12:25:44 rpmi: libatk-2.30.0-alt1 sisyphus.212779.100 1536768334 installed <13>Mar 15 12:25:44 rpmi: shared-mime-info-1.12-alt1 sisyphus+219597.100.2.2 1548057005 installed <13>Mar 15 12:25:44 rpmi: gsettings-desktop-schemas-data-3.28.1-alt1 sisyphus.212587.100 1536082062 installed <13>Mar 15 12:25:44 rpmi: libgio-2.58.3-alt1 sisyphus+219722.100.1.1 1548088777 installed <13>Mar 15 12:25:44 rpmi: gsettings-desktop-schemas-3.28.1-alt1 sisyphus.212587.100 1536082066 installed <13>Mar 15 12:25:44 rpmi: gobject-introspection-1.58.3-alt1 sisyphus.218857.100 1546259916 installed <13>Mar 15 12:25:44 rpmi: libgdk-pixbuf-2.38.1-alt1 sisyphus+223283.100.1.1 1551374252 installed <13>Mar 15 12:25:44 rpmi: gobject-introspection-x11-1.58.3-alt1 sisyphus.218857.100 1546259916 installed <13>Mar 15 12:25:44 rpmi: libgusb-0.3.0-alt1 1518891735 installed <13>Mar 15 12:25:44 rpmi: libcolord-1.4.4-alt1 sisyphus+224111.100.1.1 1552060572 installed <13>Mar 15 12:25:44 rpmi: gtk-update-icon-cache-3.24.5-alt1 sisyphus+220558.100.1.1 1549311199 installed <13>Mar 15 12:25:44 rpmi: libgdk-pixbuf-gir-2.38.1-alt1 sisyphus+223283.100.1.1 1551374252 installed <13>Mar 15 12:25:44 rpmi: libatk-gir-2.30.0-alt1 sisyphus.212779.100 1536768334 installed <13>Mar 15 12:25:45 rpmi: glib-networking-2.58.0-alt1 sisyphus.212651.1500 1536648953 installed <13>Mar 15 12:25:45 rpmi: libdconf-0.30.1-alt1 sisyphus.215477.100 1540419162 installed <13>Mar 15 12:25:45 rpmi: libjson-glib-1.4.4-alt1 sisyphus.213175.100 1537249589 installed <13>Mar 15 12:25:45 rpmi: liblz4-1:1.8.3-alt2 sisyphus+221902.4200.4.1 1550599659 installed <13>Mar 15 12:25:45 rpmi: libgpg-error-1.31-alt1.S1 1529015802 installed <13>Mar 15 12:25:45 rpmi: libgcrypt20-1.8.3-alt4 sisyphus+222598.100.1.1 1550924043 installed <13>Mar 15 12:25:45 rpmi: libsystemd-1:241-alt3 sisyphus+222052.100.2.1 1550681059 installed <13>Mar 15 12:25:45 rpmi: libdbus-1.12.12-alt2 sisyphus+221234.100.1.2 1549918047 installed <13>Mar 15 12:25:45 rpmi: dbus-tools-1.12.12-alt2 sisyphus+221234.100.1.2 1549918047 installed <86>Mar 15 12:25:45 groupadd[30477]: group added to /etc/group: name=messagebus, GID=499 <86>Mar 15 12:25:45 groupadd[30477]: group added to /etc/gshadow: name=messagebus <86>Mar 15 12:25:45 groupadd[30477]: new group: name=messagebus, GID=499 <86>Mar 15 12:25:45 useradd[30481]: new user: name=messagebus, UID=499, GID=499, home=/run/dbus, shell=/dev/null <13>Mar 15 12:25:45 rpmi: dbus-1.12.12-alt2 sisyphus+221234.100.1.2 1549918047 installed <13>Mar 15 12:25:45 rpmi: dconf-0.30.1-alt1 sisyphus.215477.100 1540419162 installed <13>Mar 15 12:25:45 rpmi: libgtk+3-schemas-3.24.5-alt1 sisyphus+220558.100.1.1 1549311168 installed <13>Mar 15 12:25:45 rpmi: libavahi-0.6.32-alt1 1500485702 installed <13>Mar 15 12:25:45 rpmi: libcups-2.2.10-alt2 sisyphus+224799.100.1.1 1552314897 installed <13>Mar 15 12:25:45 rpmi: libpolkit-0.115-alt5 sisyphus.219065.100 1547027030 installed <86>Mar 15 12:25:45 groupadd[30529]: group added to /etc/group: name=colord, GID=498 <86>Mar 15 12:25:45 groupadd[30529]: group added to /etc/gshadow: name=colord <86>Mar 15 12:25:45 groupadd[30529]: new group: name=colord, GID=498 <86>Mar 15 12:25:45 useradd[30533]: new user: name=colord, UID=498, GID=498, home=/var/colord, shell=/dev/null <13>Mar 15 12:25:45 rpmi: colord-1.4.4-alt1 sisyphus+224111.100.1.1 1552060572 installed <13>Mar 15 12:25:45 rpmi: libxslt-1.1.32-alt2 1517429984 installed <13>Mar 15 12:25:45 rpmi: libX11-locales-3:1.6.7-alt1 sisyphus.214413.200 1539171080 installed <13>Mar 15 12:25:45 rpmi: libXdmcp-1.1.1-alt1 1334617701 installed <13>Mar 15 12:25:45 rpmi: libXau-1.0.9-alt1 sisyphus+223149.200.2.1 1551268152 installed <13>Mar 15 12:25:45 rpmi: libxcb-1.13.1-alt1 sisyphus.214413.100 1539170896 installed <13>Mar 15 12:25:45 rpmi: libX11-3:1.6.7-alt1 sisyphus.214413.200 1539171143 installed <13>Mar 15 12:25:45 rpmi: libXext-1.3.3-alt1 1409902959 installed <13>Mar 15 12:25:45 rpmi: libXrender-0.9.8-alt1 1371312112 installed <13>Mar 15 12:25:45 rpmi: libXfixes-5.0.3-alt1 sisyphus.216396.300 1542022162 installed <13>Mar 15 12:25:45 rpmi: libat-spi2-core-2.30.1-alt1 sisyphus+223619.100.1.1 1551730184 installed <13>Mar 15 12:25:45 rpmi: libXdamage-1.1.3-alt4 1297162593 installed <13>Mar 15 12:25:45 rpmi: libXcursor-1.1.15-alt1.S1 1512373366 installed <13>Mar 15 12:25:45 rpmi: libXft-2.3.2-alt1 1409902660 installed <13>Mar 15 12:25:45 rpmi: libXrandr-1.5.0-alt1 1431936189 installed <13>Mar 15 12:25:45 rpmi: libXtst-1.2.2-alt1 1369984893 installed <13>Mar 15 12:25:45 rpmi: libXxf86vm-1.1.4-alt2 1527672187 installed <13>Mar 15 12:25:45 rpmi: libGLX-mesa-4:18.3.4-alt1 sisyphus+222018.100.1.1 1550567661 installed <13>Mar 15 12:25:45 rpmi: libEGL-mesa-4:18.3.4-alt1 sisyphus+222018.100.1.1 1550567661 installed <13>Mar 15 12:25:45 rpmi: libEGL-7:1.1.0-alt3 sisyphus.215982.100 1541498632 installed <13>Mar 15 12:25:45 rpmi: libGLX-7:1.1.0-alt3 sisyphus.215982.100 1541498632 installed <13>Mar 15 12:25:45 rpmi: libGL-7:1.1.0-alt3 sisyphus.215982.100 1541498632 installed <13>Mar 15 12:25:45 rpmi: libcairo-1:1.16.0-alt1 sisyphus.215566.100 1540457683 installed <13>Mar 15 12:25:45 rpmi: libcairo-gobject-1:1.16.0-alt1 sisyphus.215566.100 1540457683 installed <13>Mar 15 12:25:45 rpmi: libpango-1.42.4-alt1 1534787259 installed <13>Mar 15 12:25:45 rpmi: libpango-gir-1.42.4-alt1 1534787259 installed <13>Mar 15 12:25:45 rpmi: libXi-1.7.9-alt1.S1 1515755342 installed <13>Mar 15 12:25:45 rpmi: libXinerama-1.1.4-alt1 sisyphus+223149.300.2.1 1551268216 installed <13>Mar 15 12:25:45 rpmi: dbus-tools-gui-1.12.12-alt2 sisyphus+221234.100.1.2 1549918047 installed <13>Mar 15 12:25:45 rpmi: at-spi2-core-2.30.1-alt1 sisyphus+223619.100.1.1 1551730184 installed <13>Mar 15 12:25:45 rpmi: at-spi2-atk-2.30.1-alt1 sisyphus+223619.200.1.1 1551730271 installed <13>Mar 15 12:25:45 rpmi: libXcomposite-0.4.3-alt3 1297306936 installed <13>Mar 15 12:25:45 rpmi: libtinfo-devel-6.1.20180407-alt2 sisyphus+222164.200.1.1 1550686226 installed <13>Mar 15 12:25:45 rpmi: libncurses-devel-6.1.20180407-alt2 sisyphus+222164.200.1.1 1550686226 installed <13>Mar 15 12:25:45 rpmi: python-modules-curses-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:45 rpmi: libverto-0.3.0-alt1_7 sisyphus+223221.100.1.1 1551348953 installed <13>Mar 15 12:25:45 rpmi: libkeyutils-1.6-alt2 sisyphus.217337.100 1544003161 installed <13>Mar 15 12:25:45 rpmi: libcom_err-1.44.6-alt1 sisyphus+224154.100.1.1 1552091678 installed <86>Mar 15 12:25:45 groupadd[30702]: group added to /etc/group: name=_keytab, GID=497 <86>Mar 15 12:25:45 groupadd[30702]: group added to /etc/gshadow: name=_keytab <86>Mar 15 12:25:45 groupadd[30702]: new group: name=_keytab, GID=497 <13>Mar 15 12:25:45 rpmi: libkrb5-1.16.3-alt1 sisyphus+223678.100.1.1 1551746516 installed <13>Mar 15 12:25:45 rpmi: libsoup-2.64.2-alt1 sisyphus.215425.140 1540400356 installed <13>Mar 15 12:25:45 rpmi: libsoup-gnome-2.64.2-alt1 sisyphus.215425.140 1540400356 installed <13>Mar 15 12:25:45 rpmi: librest-0.8.1-alt1 1508266400 installed <13>Mar 15 12:25:46 rpmi: libgtk+3-3.24.5-alt1 sisyphus+220558.100.1.1 1549311199 installed <13>Mar 15 12:25:46 rpmi: libgtk+3-gir-3.24.5-alt1 sisyphus+220558.100.1.1 1549311199 installed <13>Mar 15 12:25:46 rpmi: libtirpc-1.0.3-alt1 1532008017 installed <13>Mar 15 12:25:46 rpmi: libnsl2-1.1.0-alt1_1 1511548749 installed <13>Mar 15 12:25:46 rpmi: python-modules-email-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-unittest-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-nis-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-encodings-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-compiler-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-module-six-1.12.0-alt1 sisyphus+219665.100.2.1 1548148570 installed <13>Mar 15 12:25:46 rpmi: python-modules-xml-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-json-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-ctypes-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-multiprocessing-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-modules-logging-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-module-pkg_resources-1:40.8.0-alt1 sisyphus+221229.100.2.1 1550559950 installed <13>Mar 15 12:25:46 rpmi: python-modules-hotshot-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-module-backports-3.5.0.1-alt1.1.1 1517645428 installed <13>Mar 15 12:25:46 rpmi: python-module-backports.functools_lru_cache-1.4-alt1.qa1 sisyphus.214841.100 1539767890 installed <13>Mar 15 12:25:46 rpmi: python-module-backports.ssl_match_hostname-3.5.0.1-alt1.1.1 1517645428 installed <13>Mar 15 12:25:46 rpmi: python-module-dateutil-2.7.3-alt1 1534408281 installed <13>Mar 15 12:25:46 rpmi: python-module-futures-3.0.5-alt1 1484260741 installed <13>Mar 15 12:25:46 rpmi: python-module-webencodings-0.5.1-alt1.1 1517943573 installed <13>Mar 15 12:25:46 rpmi: python-module-cycler-0.10.0-alt1.1 1517663300 installed <13>Mar 15 12:25:46 rpmi: python-module-more-itertools-5.0.0-alt1 sisyphus.218699.100 1545980609 installed <13>Mar 15 12:25:46 rpmi: python-module-singledispatch-3.4.0.3-alt1.1.2 1527005338 installed <13>Mar 15 12:25:46 rpmi: python-module-py-1.7.0-alt1 sisyphus.214414.220 1539670883 installed <13>Mar 15 12:25:46 rpmi: python-module-pluggy-0.8.1-alt1 sisyphus.219350.100 1547468434 installed <13>Mar 15 12:25:46 rpmi: python-modules-bsddb-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-strict-2.7.15-alt1 sisyphus.217364.100 1544022396 installed <13>Mar 15 12:25:46 rpmi: python-modules-distutils-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:46 rpmi: python-module-attrs-19.1.0-alt1 sisyphus+224963.100.1.1 1552501935 installed <13>Mar 15 12:25:46 rpmi: python-module-html5lib-1:0.999999999-alt4.qa1 sisyphus.214868.100 1539741045 installed <13>Mar 15 12:25:47 rpmi: python-module-lxml-4.3.2-alt1 sisyphus+223616.100.1.1 1551715577 installed <13>Mar 15 12:25:47 rpmi: python-module-cssselect-0.9.1-alt1.2 1526980827 installed <13>Mar 15 12:25:47 rpmi: python-module-pycairo-1.18.0-alt1 sisyphus.216837.300 1543086170 installed <13>Mar 15 12:25:47 rpmi: python-module-pytz-1:2016.10-alt1 1484291011 installed <13>Mar 15 12:25:47 rpmi: python-module-nose-1:1.3.7-alt4.git20160316 sisyphus.213223.100 1537286725 installed <13>Mar 15 12:25:47 rpmi: python-module-zc-1.0.0-alt6.2 1458024175 installed <13>Mar 15 12:25:47 rpmi: python-module-zope.interface-4.5.0-alt1.qa1 sisyphus.214938.100 1539939473 installed <13>Mar 15 12:25:47 rpmi: python-module-zope-3.3.0-alt8.4 1458261152 installed <13>Mar 15 12:25:47 rpmi: python-module-pygobject3-3.30.4-alt1 sisyphus.217166.100 1543677465 installed <13>Mar 15 12:25:47 rpmi: python-module-atomicwrites-1.3.0-alt1 sisyphus+221237.100.1.2 1549921064 installed <13>Mar 15 12:25:47 rpmi: python-module-funcsigs-1.0.2-alt2 sisyphus+220258.100.1.1 1548882900 installed <13>Mar 15 12:25:47 rpmi: python-module-functools32-3.2.3.2-alt1.git20150711.1 1517710999 installed <13>Mar 15 12:25:47 rpmi: python-module-pyparsing-2.2.0-alt1 1534411950 installed <13>Mar 15 12:25:47 rpmi: python-module-scandir-1.9.0-alt1 1535455370 installed <13>Mar 15 12:25:47 rpmi: python-module-pathlib2-2.3.3-alt1 sisyphus.218098.100 1545218863 installed <13>Mar 15 12:25:47 rpmi: python-module-pytest-3.10.1-alt4 sisyphus+220988.200.2.1 1549800021 installed <13>Mar 15 12:25:47 rpmi: python-module-numpy-1:1.15.4-alt1 sisyphus+224328.100.1.2 1552246396 installed <13>Mar 15 12:25:47 rpmi: python-module-numpy-testing-1:1.15.4-alt1 sisyphus+224328.100.1.2 1552246396 installed <13>Mar 15 12:25:47 rpmi: python-module-simplejson-3.15.0-alt1.qa1 sisyphus.214917.100 1539845528 installed <13>Mar 15 12:25:47 rpmi: python-module-pycares-2.3.0-alt1.1 1525122159 installed <13>Mar 15 12:25:47 rpmi: python-modules-wsgiref-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:47 rpmi: libnsl2-devel-1.1.0-alt1_1 1511548749 installed <86>Mar 15 12:25:47 groupadd[31702]: group added to /etc/group: name=sasl, GID=496 <86>Mar 15 12:25:47 groupadd[31702]: group added to /etc/gshadow: name=sasl <86>Mar 15 12:25:47 groupadd[31702]: new group: name=sasl, GID=496 <13>Mar 15 12:25:47 rpmi: libsasl2-3-2.1.27-alt1 sisyphus+223971.100.1.1 1551928460 installed <13>Mar 15 12:25:47 rpmi: libldap-2.4.46-alt1.1 sisyphus+219907.4400.1.1 1548349979 installed <13>Mar 15 12:25:47 rpmi: libcurl-7.64.0-alt2 sisyphus+224983.100.1.2 1552555781 installed <13>Mar 15 12:25:47 rpmi: python-module-pycurl-7.43.0.2-alt1 sisyphus+224330.100.1.1 1552244927 installed <13>Mar 15 12:25:47 rpmi: python-module-tornado-5.1.1-alt2 sisyphus+220219.100.1.1 1548842648 installed <13>Mar 15 12:25:47 rpmi: python-module-matplotlib-gtk3-2.2.3-alt3 sisyphus+220545.100.1.1 1549302949 installed <13>Mar 15 12:25:48 rpmi: python-module-matplotlib-2.2.3-alt3 sisyphus+220545.100.1.1 1549302949 installed <13>Mar 15 12:25:48 rpmi: python-module-matplotlib-cairo-2.2.3-alt3 sisyphus+220545.100.1.1 1549302949 installed <13>Mar 15 12:25:48 rpmi: python-dev-2.7.15-alt1 sisyphus.217364.100 1544022423 installed <13>Mar 15 12:25:48 rpmi: python-module-docutils-0.14-alt2 1535729778 installed <13>Mar 15 12:25:48 rpmi: python-tools-2to3-2.7.15-alt1 sisyphus.217364.100 1544022423 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/python-module-theano-0.6.0-alt4.qa1.nosrc.rpm <13>Mar 15 12:26:35 rpmi: python3-module-pkg_resources-1:40.8.0-alt1 sisyphus+221229.100.2.1 1550559950 installed <13>Mar 15 12:26:35 rpmi: python3-dev-3.6.8-alt1 sisyphus+220164.200.3.1 1548842636 installed <13>Mar 15 12:26:35 rpmi: python3-module-setuptools-1:40.8.0-alt1 sisyphus+221229.100.2.1 1550559950 installed <13>Mar 15 12:26:35 rpmi: python-module-setuptools-1:40.8.0-alt1 sisyphus+221229.100.2.1 1550559950 installed Installing python-module-theano-0.6.0-alt4.qa1.src.rpm Building target platforms: i586 Building for target i586 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.24770 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + rm -rf python-module-theano-0.6.0 + echo 'Source #0 (python-module-theano-0.6.0.tar):' Source #0 (python-module-theano-0.6.0.tar): + /bin/tar -xf /usr/src/RPM/SOURCES/python-module-theano-0.6.0.tar + cd python-module-theano-0.6.0 + /bin/chmod -c -Rf u+rwX,go-w . + cp -fR . ../python3 + exit 0 Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.64573 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd python-module-theano-0.6.0 + export LC_ALL=en_US.UTF-8 + LC_ALL=en_US.UTF-8 + CFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CFLAGS + CXXFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CXXFLAGS + FFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export FFLAGS + /usr/bin/python setup.py build --debug running build running build_py creating build creating build/lib creating build/lib/theano copying theano/version.py -> build/lib/theano copying theano/updates.py -> build/lib/theano copying theano/raise_op.py -> build/lib/theano copying theano/printing.py -> build/lib/theano copying theano/ifelse.py -> build/lib/theano copying theano/gradient.py -> build/lib/theano copying theano/generated_version.py -> build/lib/theano copying theano/configparser.py -> build/lib/theano copying theano/configdefaults.py -> build/lib/theano copying theano/__init__.py -> build/lib/theano creating build/lib/theano/tests copying theano/tests/unittest_tools.py -> build/lib/theano/tests copying theano/tests/test_updates.py -> build/lib/theano/tests copying theano/tests/test_tutorial.py -> build/lib/theano/tests copying theano/tests/test_rop.py -> build/lib/theano/tests copying theano/tests/test_printing.py -> build/lib/theano/tests copying theano/tests/test_ifelse.py -> build/lib/theano/tests copying theano/tests/test_gradient.py -> build/lib/theano/tests copying theano/tests/test_determinism.py -> build/lib/theano/tests copying theano/tests/test_config.py -> build/lib/theano/tests copying theano/tests/test_2nd_order_grads.py -> build/lib/theano/tests copying theano/tests/run_tests_in_batch.py -> build/lib/theano/tests copying theano/tests/record.py -> build/lib/theano/tests copying theano/tests/main.py -> build/lib/theano/tests copying theano/tests/diverse_tests.py -> build/lib/theano/tests copying theano/tests/disturb_mem.py -> build/lib/theano/tests copying theano/tests/__init__.py -> build/lib/theano/tests creating build/lib/theano/tensor copying theano/tensor/xlogx.py -> build/lib/theano/tensor copying theano/tensor/var.py -> build/lib/theano/tensor copying theano/tensor/utils.py -> build/lib/theano/tensor copying theano/tensor/type_other.py -> build/lib/theano/tensor copying theano/tensor/type.py -> build/lib/theano/tensor copying theano/tensor/subtensor.py -> build/lib/theano/tensor copying theano/tensor/sort.py -> build/lib/theano/tensor copying theano/tensor/sharedvar.py -> build/lib/theano/tensor copying theano/tensor/shared_randomstreams.py -> build/lib/theano/tensor copying theano/tensor/raw_random.py -> build/lib/theano/tensor copying theano/tensor/randomstreams.py -> build/lib/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> build/lib/theano/tensor copying theano/tensor/opt.py -> build/lib/theano/tensor copying theano/tensor/io.py -> build/lib/theano/tensor copying theano/tensor/inplace.py -> build/lib/theano/tensor copying theano/tensor/fourier.py -> build/lib/theano/tensor copying theano/tensor/extra_ops.py -> build/lib/theano/tensor copying theano/tensor/elemwise_cgen.py -> build/lib/theano/tensor copying theano/tensor/elemwise.py -> build/lib/theano/tensor copying theano/tensor/blas_scipy.py -> build/lib/theano/tensor copying theano/tensor/blas_headers.py -> build/lib/theano/tensor copying theano/tensor/blas_c.py -> build/lib/theano/tensor copying theano/tensor/blas.py -> build/lib/theano/tensor copying theano/tensor/basic.py -> build/lib/theano/tensor copying theano/tensor/__init__.py -> build/lib/theano/tensor creating build/lib/theano/sparse copying theano/sparse/utils.py -> build/lib/theano/sparse copying theano/sparse/type.py -> build/lib/theano/sparse copying theano/sparse/sharedvar.py -> build/lib/theano/sparse copying theano/sparse/opt.py -> build/lib/theano/sparse copying theano/sparse/basic.py -> build/lib/theano/sparse copying theano/sparse/__init__.py -> build/lib/theano/sparse creating build/lib/theano/scan_module copying theano/scan_module/scan_views.py -> build/lib/theano/scan_module copying theano/scan_module/scan_utils.py -> build/lib/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> build/lib/theano/scan_module copying theano/scan_module/scan_opt.py -> build/lib/theano/scan_module copying theano/scan_module/scan_op.py -> build/lib/theano/scan_module copying theano/scan_module/scan.py -> build/lib/theano/scan_module copying theano/scan_module/__init__.py -> build/lib/theano/scan_module creating build/lib/theano/scalar copying theano/scalar/sharedvar.py -> build/lib/theano/scalar copying theano/scalar/basic_sympy.py -> build/lib/theano/scalar copying theano/scalar/basic_scipy.py -> build/lib/theano/scalar copying theano/scalar/basic.py -> build/lib/theano/scalar copying theano/scalar/__init__.py -> build/lib/theano/scalar creating build/lib/theano/sandbox copying theano/sandbox/theano_object.py -> build/lib/theano/sandbox copying theano/sandbox/test_theano_object.py -> build/lib/theano/sandbox copying theano/sandbox/test_scan.py -> build/lib/theano/sandbox copying theano/sandbox/test_rng_mrg.py -> build/lib/theano/sandbox copying theano/sandbox/test_neighbours.py -> build/lib/theano/sandbox copying theano/sandbox/test_neighbourhoods.py -> build/lib/theano/sandbox copying theano/sandbox/test_multinomial.py -> build/lib/theano/sandbox copying theano/sandbox/symbolic_module.py -> build/lib/theano/sandbox copying theano/sandbox/solve.py -> build/lib/theano/sandbox copying theano/sandbox/softsign.py -> build/lib/theano/sandbox copying theano/sandbox/scan.py -> build/lib/theano/sandbox copying theano/sandbox/rng_mrg.py -> build/lib/theano/sandbox copying theano/sandbox/neighbours.py -> build/lib/theano/sandbox copying theano/sandbox/neighbourhoods.py -> build/lib/theano/sandbox copying theano/sandbox/multinomial.py -> build/lib/theano/sandbox copying theano/sandbox/minimal.py -> build/lib/theano/sandbox copying theano/sandbox/fourier.py -> build/lib/theano/sandbox copying theano/sandbox/downsample.py -> build/lib/theano/sandbox copying theano/sandbox/debug.py -> build/lib/theano/sandbox copying theano/sandbox/conv.py -> build/lib/theano/sandbox copying theano/sandbox/__init__.py -> build/lib/theano/sandbox creating build/lib/theano/misc copying theano/misc/windows.py -> build/lib/theano/misc copying theano/misc/strutil.py -> build/lib/theano/misc copying theano/misc/safe_asarray.py -> build/lib/theano/misc copying theano/misc/pycuda_utils.py -> build/lib/theano/misc copying theano/misc/pycuda_init.py -> build/lib/theano/misc copying theano/misc/pycuda_example.py -> build/lib/theano/misc copying theano/misc/pkl_utils.py -> build/lib/theano/misc copying theano/misc/ordered_set.py -> build/lib/theano/misc copying theano/misc/nose_pr.py -> build/lib/theano/misc copying theano/misc/may_share_memory.py -> build/lib/theano/misc copying theano/misc/latence_gpu_transfert.py -> build/lib/theano/misc copying theano/misc/gnumpy_utils.py -> build/lib/theano/misc copying theano/misc/gh_api.py -> build/lib/theano/misc copying theano/misc/doubleop.py -> build/lib/theano/misc copying theano/misc/cudamat_utils.py -> build/lib/theano/misc copying theano/misc/cpucount.py -> build/lib/theano/misc copying theano/misc/check_duplicate_key.py -> build/lib/theano/misc copying theano/misc/check_blas.py -> build/lib/theano/misc copying theano/misc/buildbot_filter.py -> build/lib/theano/misc copying theano/misc/__init__.py -> build/lib/theano/misc creating build/lib/theano/gof copying theano/gof/vm.py -> build/lib/theano/gof copying theano/gof/utils.py -> build/lib/theano/gof copying theano/gof/unify.py -> build/lib/theano/gof copying theano/gof/type.py -> build/lib/theano/gof copying theano/gof/toolbox.py -> build/lib/theano/gof copying theano/gof/sched.py -> build/lib/theano/gof copying theano/gof/python25.py -> build/lib/theano/gof copying theano/gof/optdb.py -> build/lib/theano/gof copying theano/gof/opt.py -> build/lib/theano/gof copying theano/gof/op.py -> build/lib/theano/gof copying theano/gof/null_type.py -> build/lib/theano/gof copying theano/gof/link.py -> build/lib/theano/gof copying theano/gof/lazylinker_c.py -> build/lib/theano/gof copying theano/gof/graph.py -> build/lib/theano/gof copying theano/gof/fg.py -> build/lib/theano/gof copying theano/gof/destroyhandler.py -> build/lib/theano/gof copying theano/gof/cutils.py -> build/lib/theano/gof copying theano/gof/compilelock.py -> build/lib/theano/gof copying theano/gof/compiledir.py -> build/lib/theano/gof copying theano/gof/cmodule.py -> build/lib/theano/gof copying theano/gof/cc.py -> build/lib/theano/gof copying theano/gof/callcache.py -> build/lib/theano/gof copying theano/gof/__init__.py -> build/lib/theano/gof creating build/lib/theano/compile copying theano/compile/sharedvalue.py -> build/lib/theano/compile copying theano/compile/profiling.py -> build/lib/theano/compile copying theano/compile/profilemode.py -> build/lib/theano/compile copying theano/compile/pfunc.py -> build/lib/theano/compile copying theano/compile/ops.py -> build/lib/theano/compile copying theano/compile/monitormode.py -> build/lib/theano/compile copying theano/compile/module.py -> build/lib/theano/compile copying theano/compile/mode.py -> build/lib/theano/compile copying theano/compile/io.py -> build/lib/theano/compile copying theano/compile/function_module.py -> build/lib/theano/compile copying theano/compile/function.py -> build/lib/theano/compile copying theano/compile/debugmode.py -> build/lib/theano/compile copying theano/compile/builders.py -> build/lib/theano/compile copying theano/compile/__init__.py -> build/lib/theano/compile creating build/lib/theano/compat copying theano/compat/six.py -> build/lib/theano/compat copying theano/compat/python2x.py -> build/lib/theano/compat copying theano/compat/__init__.py -> build/lib/theano/compat creating build/lib/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_randomstreams.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_naacl09.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_io.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/__init__.py -> build/lib/theano/tensor/tests creating build/lib/theano/tensor/signal copying theano/tensor/signal/downsample.py -> build/lib/theano/tensor/signal copying theano/tensor/signal/conv.py -> build/lib/theano/tensor/signal copying theano/tensor/signal/__init__.py -> build/lib/theano/tensor/signal creating build/lib/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/ConvTransp3D.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/ConvGrad3D.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/Conv3D.py -> build/lib/theano/tensor/nnet creating build/lib/theano/tensor/deprecated copying theano/tensor/deprecated/test_rmodule.py -> build/lib/theano/tensor/deprecated copying theano/tensor/deprecated/rmodule.py -> build/lib/theano/tensor/deprecated copying theano/tensor/deprecated/__init__.py -> build/lib/theano/tensor/deprecated creating build/lib/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/__init__.py -> build/lib/theano/sparse/tests creating build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> build/lib/theano/sparse/sandbox creating build/lib/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> build/lib/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> build/lib/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> build/lib/theano/scan_module/tests creating build/lib/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> build/lib/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> build/lib/theano/scalar/tests copying theano/scalar/tests/__init__.py -> build/lib/theano/scalar/tests creating build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/scan_utils.py -> build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/scan_op.py -> build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/scan.py -> build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/__init__.py -> build/lib/theano/sandbox/scan_module creating build/lib/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> build/lib/theano/sandbox/linalg copying theano/sandbox/linalg/kron.py -> build/lib/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> build/lib/theano/sandbox/linalg creating build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/type.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/subtensor.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/opt.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/elemwise.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/blas.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/basic_ops.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/__init__.py -> build/lib/theano/sandbox/gpuarray creating build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/var.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/type.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/rng_curand.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/opt.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/nvcc_compiler.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/nnet.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/neighbours.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/kernel_codegen.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/elemwise.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/blas.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/basic_ops.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvTransp3D.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvGrad3D.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConv3D.py -> build/lib/theano/sandbox/cuda creating build/lib/theano/misc/tests copying theano/misc/tests/test_pycuda_utils.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_pycuda_theano_simple.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_pycuda_example.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_gnumpy_utils.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_cudamat_utils.py -> build/lib/theano/misc/tests copying theano/misc/tests/__init__.py -> build/lib/theano/misc/tests creating build/lib/theano/gof/tests copying theano/gof/tests/test_vm.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_utils.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_types.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_sched.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_optdb.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_opt.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_op.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_link.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_lazy.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_graph.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_fg.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_cc.py -> build/lib/theano/gof/tests copying theano/gof/tests/__init__.py -> build/lib/theano/gof/tests creating build/lib/theano/compile/tests copying theano/compile/tests/test_shared.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_module.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_modes.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_misc.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_inplace_opt_for_value.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_function_module.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_builders.py -> build/lib/theano/compile/tests copying theano/compile/tests/__init__.py -> build/lib/theano/compile/tests creating build/lib/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> build/lib/theano/compile/sandbox creating build/lib/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_downsample.py -> build/lib/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> build/lib/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> build/lib/theano/tensor/signal/tests creating build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> build/lib/theano/tensor/nnet/tests creating build/lib/theano/sandbox/scan_module/tests copying theano/sandbox/scan_module/tests/test_utils.py -> build/lib/theano/sandbox/scan_module/tests copying theano/sandbox/scan_module/tests/test_scan.py -> build/lib/theano/sandbox/scan_module/tests copying theano/sandbox/scan_module/tests/__init__.py -> build/lib/theano/sandbox/scan_module/tests creating build/lib/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> build/lib/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_kron.py -> build/lib/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> build/lib/theano/sandbox/linalg/tests creating build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_type.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_subtensor.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_opt.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_elemwise.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_blas.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_basic_ops.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/__init__.py -> build/lib/theano/sandbox/gpuarray/tests creating build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/walltime.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_viewop.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_var.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_tensor_op.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_rng_curand.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_opt.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_nvcc_compiler.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_nnet.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_neighbours.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_mlp.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_memory.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_gradient.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_driver.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_cuda_ndarray.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_blas.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_bench_loopfusion.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_basic_ops.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/__init__.py -> build/lib/theano/sandbox/cuda/tests copying theano/scan_module/scan_perform.c -> build/lib/theano/scan_module copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> build/lib/theano/sandbox copying theano/misc/check_blas_many.sh -> build/lib/theano/misc copying theano/gof/lazylinker_c.c -> build/lib/theano/gof copying theano/tensor/tests/shape_opt_cycle.pkl -> build/lib/theano/tensor/tests copying theano/sandbox/cuda/cuda_ndarray.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/conv_kernel.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/conv_full_kernel.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/conv.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/cuda_ndarray.cuh -> build/lib/theano/sandbox/cuda running build_scripts creating build/scripts-2.7 copying and adjusting bin/theano-cache -> build/scripts-2.7 copying and adjusting bin/theano-nose -> build/scripts-2.7 copying and adjusting bin/theano-test -> build/scripts-2.7 changing mode of build/scripts-2.7/theano-cache from 644 to 755 changing mode of build/scripts-2.7/theano-nose from 644 to 755 changing mode of build/scripts-2.7/theano-test from 644 to 755 + pushd ../python3 ~/RPM/BUILD/python3 ~/RPM/BUILD/python-module-theano-0.6.0 + find -type f -name '*.py' -exec 2to3 -w -n '{}' + RefactoringTool: Skipping optional fixer: buffer RefactoringTool: Skipping optional fixer: idioms RefactoringTool: Skipping optional fixer: set_literal RefactoringTool: Skipping optional fixer: ws_comma RefactoringTool: No changes to ./theano/version.py RefactoringTool: Refactored ./theano/updates.py RefactoringTool: Refactored ./theano/tests/unittest_tools.py --- ./theano/updates.py (original) +++ ./theano/updates.py (refactored) @@ -69,7 +69,7 @@ 'non-ordered dictionary with 2+ elements could ' 'make your code non-deterministic', stacklevel=2) - for key, val in OrderedDict(other).iteritems(): + for key, val in OrderedDict(other).items(): if key in self: if self[key] == val: continue --- ./theano/tests/unittest_tools.py (original) +++ ./theano/tests/unittest_tools.py (refactored) @@ -1,6 +1,6 @@ from copy import copy, deepcopy import logging -from StringIO import StringIO +from io import StringIO import sys import unittest @@ -58,8 +58,8 @@ else: seed = None except ValueError: - print >> sys.stderr, ('Error: config.unittests.rseed contains ' - 'invalid seed, using None instead') + print(('Error: config.unittests.rseed contains ' + 'invalid seed, using None instead'), file=sys.stderr) seed = None return seed @@ -73,8 +73,8 @@ seed = fetch_seed(pseed) if pseed and pseed != seed: - print >> sys.stderr, 'Warning: using seed given by config.unittests.rseed=%i'\ - 'instead of seed %i given as parameter' % (seed, pseed) + print('Warning: using seed given by config.unittests.rseed=%i'\ + 'instead of seed %i given as parameter' % (seed, pseed), file=sys.stderr) numpy.random.seed(seed) return seed @@ -103,7 +103,7 @@ class TestOptimizationMixin(object): - def assertFunctionContains(self, f, op, min=1, max=sys.maxint): + def assertFunctionContains(self, f, op, min=1, max=sys.maxsize): toposort = f.maker.fgraph.toposort() matches = [node for node in toposort if node.op == op] assert (min <= len(matches) <= max), (toposort, matches, @@ -118,7 +118,7 @@ def assertFunctionContainsN(self, f, op, N): return self.assertFunctionContains(f, op, min=N, max=N) - def assertFunctionContainsClass(self, f, op, min=1, max=sys.maxint): + def assertFunctionContainsClass(self, f, op, min=1, max=sys.maxsize): toposort = f.maker.fgraph.toposort() matches = [node for node in toposort if isinstance(node.op, op)] assert (min <= len(matches) <= max), (toposort, matches, @@ -254,54 +254,54 @@ try: ssio = StringIO() - print >> ssio, " : shape, dtype, strides, min, max, n_inf, n_nan:" - print >> ssio, " Expected :", - print >> ssio, expected.shape, - print >> ssio, expected.dtype, - print >> ssio, expected.strides, - print >> ssio, expected.min(), - print >> ssio, expected.max(), - print >> ssio, numpy.isinf(expected).sum(), - print >> ssio, numpy.isnan(expected).sum(), + print(" : shape, dtype, strides, min, max, n_inf, n_nan:", file=ssio) + print(" Expected :", end=' ', file=ssio) + print(expected.shape, end=' ', file=ssio) + print(expected.dtype, end=' ', file=ssio) + print(expected.strides, end=' ', file=ssio) + print(expected.min(), end=' ', file=ssio) + print(expected.max(), end=' ', file=ssio) + print(numpy.isinf(expected).sum(), end=' ', file=ssio) + print(numpy.isnan(expected).sum(), end=' ', file=ssio) # only if all succeeds to we add anything to sio - print >> sio, ssio.getvalue() + print(ssio.getvalue(), file=sio) except Exception: pass try: ssio = StringIO() - print >> ssio, " Value :", - print >> ssio, value.shape, - print >> ssio, value.dtype, - print >> ssio, value.strides, - print >> ssio, value.min(), - print >> ssio, value.max(), - print >> ssio, numpy.isinf(value).sum(), - print >> ssio, numpy.isnan(value).sum(), + print(" Value :", end=' ', file=ssio) + print(value.shape, end=' ', file=ssio) RefactoringTool: No changes to ./theano/tests/test_updates.py RefactoringTool: Refactored ./theano/tests/test_tutorial.py + print(value.dtype, end=' ', file=ssio) + print(value.strides, end=' ', file=ssio) + print(value.min(), end=' ', file=ssio) + print(value.max(), end=' ', file=ssio) + print(numpy.isinf(value).sum(), end=' ', file=ssio) + print(numpy.isnan(value).sum(), end=' ', file=ssio) # only if all succeeds to we add anything to sio - print >> sio, ssio.getvalue() + print(ssio.getvalue(), file=sio) except Exception: pass - print >> sio, " expected :", expected - print >> sio, " value :", value + print(" expected :", expected, file=sio) + print(" value :", value, file=sio) try: ov = numpy.asarray(expected) nv = numpy.asarray(value) ssio = StringIO() absdiff = numpy.absolute(nv - ov) - print >> ssio, " Max Abs Diff: ", numpy.max(absdiff) - print >> ssio, " Mean Abs Diff: ", numpy.mean(absdiff) - print >> ssio, " Median Abs Diff: ", numpy.median(absdiff) - print >> ssio, " Std Abs Diff: ", numpy.std(absdiff) + print(" Max Abs Diff: ", numpy.max(absdiff), file=ssio) + print(" Mean Abs Diff: ", numpy.mean(absdiff), file=ssio) + print(" Median Abs Diff: ", numpy.median(absdiff), file=ssio) + print(" Std Abs Diff: ", numpy.std(absdiff), file=ssio) reldiff = numpy.absolute(nv - ov) / (numpy.absolute(nv) + numpy.absolute(ov)) - print >> ssio, " Max Rel Diff: ", numpy.max(reldiff) - print >> ssio, " Mean Rel Diff: ", numpy.mean(reldiff) - print >> ssio, " Median Rel Diff: ", numpy.median(reldiff) - print >> ssio, " Std Rel Diff: ", numpy.std(reldiff) + print(" Max Rel Diff: ", numpy.max(reldiff), file=ssio) + print(" Mean Rel Diff: ", numpy.mean(reldiff), file=ssio) + print(" Median Rel Diff: ", numpy.median(reldiff), file=ssio) + print(" Std Rel Diff: ", numpy.std(reldiff), file=ssio) # only if all succeeds to we add anything to sio - print >> sio, ssio.getvalue() + print(ssio.getvalue(), file=sio) except Exception: pass #Use the same formula as in _allclose to find the tolerance used @@ -317,7 +317,7 @@ rtol_ = rtol if atol is not None: atol_ = atol - print >> sio, " rtol, atol:", rtol_, atol_ + print(" rtol, atol:", rtol_, atol_, file=sio) return sio.getvalue() --- ./theano/tests/test_tutorial.py (original) +++ ./theano/tests/test_tutorial.py (refactored) @@ -713,7 +713,7 @@ def test_loading_and_saving_1(self): - import cPickle + import pickle import theano, theano.tensor x = theano.tensor.matrix() @@ -734,12 +734,12 @@ os.chdir(tmpdir) f = open('obj.save', 'wb') - cPickle.dump(my_obj, f, protocol=cPickle.HIGHEST_PROTOCOL) + pickle.dump(my_obj, f, protocol=pickle.HIGHEST_PROTOCOL) f.close() f = open('obj.save', 'rb') - loaded_obj = cPickle.load(f) + loaded_obj = pickle.load(f) f.close() obj1 = my_obj @@ -748,13 +748,13 @@ f = open('objects.save', 'wb') for obj in [obj1, obj2, obj3]: - cPickle.dump(obj, f, protocol=cPickle.HIGHEST_PROTOCOL) + pickle.dump(obj, f, protocol=pickle.HIGHEST_PROTOCOL) f.close() f = open('objects.save', 'rb') loaded_objects = [] for i in range(3): - loaded_objects.append(cPickle.load(f)) + loaded_objects.append(pickle.load(f)) f.close() finally: # Get back to the orinal dir, and temporary one. @@ -800,15 +800,15 @@ f = function([], T.exp(x)) # print f.maker.fgraph.toposort() t0 = time.time() - for i in xrange(iters): + for i in ranRefactoringTool: No changes to ./theano/tests/test_rop.py RefactoringTool: Refactored ./theano/tests/test_printing.py RefactoringTool: Refactored ./theano/tests/test_ifelse.py ge(iters): r = f() t1 = time.time() - print 'Looping %d times took' % iters, t1 - t0, 'seconds' - print 'Result is', r + print('Looping %d times took' % iters, t1 - t0, 'seconds') + print('Result is', r) if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]): - print 'Used the cpu' + print('Used the cpu') else: - print 'Used the gpu' + print('Used the gpu') if theano.config.device.find('gpu') > -1: assert not numpy.any( [isinstance(x.op,T.Elemwise) for x in f.maker.fgraph.toposort()]) else: @@ -832,16 +832,16 @@ f = function([], sandbox.cuda.basic_ops.gpu_from_host(T.exp(x))) # print f.maker.fgraph.toposort() t0 = time.time() - for i in xrange(iters): + for i in range(iters): r = f() t1 = time.time() - print 'Looping %d times took' % iters, t1 - t0, 'seconds' - print 'Result is', r - print 'Numpy result is', numpy.asarray(r) + print('Looping %d times took' % iters, t1 - t0, 'seconds') + print('Result is', r) + print('Numpy result is', numpy.asarray(r)) if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]): - print 'Used the cpu' + print('Used the cpu') else: - print 'Used the gpu' + print('Used the gpu') assert not numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]) @@ -864,17 +864,17 @@ borrow=True)) # print f.maker.fgraph.toposort() t0 = time.time() - for i in xrange(iters): + for i in range(iters): r = f() t1 = time.time() - print 'Looping %d times took' % iters, t1 - t0, 'seconds' - print 'Result is', r - print 'Numpy result is', numpy.asarray(r) + print('Looping %d times took' % iters, t1 - t0, 'seconds') + print('Result is', r) + print('Numpy result is', numpy.asarray(r)) if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]): - print 'Used the cpu' + print('Used the cpu') else: - print 'Used the gpu' + print('Used the gpu') assert not numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]) --- ./theano/tests/test_printing.py (original) +++ ./theano/tests/test_printing.py (refactored) @@ -107,8 +107,8 @@ E. E""" if mis != reference: - print '--' + mis + '--' - print '--' + reference + '--' + print('--' + mis + '--') + print('--' + reference + '--') assert mis == reference @@ -142,8 +142,8 @@ """ if s != reference: - print '--' + s + '--' - print '--' + reference + '--' + print('--' + s + '--') + print('--' + reference + '--') assert s == reference @@ -162,8 +162,8 @@ """ if s != reference: - print '--' + s + '--' - print '--' + reference + '--' + print('--' + s + '--') + print('--' + reference + '--') assert s == reference @@ -180,8 +180,8 @@ """ if s != reference: - print '--' + s + '--' - print '--' + reference + '--' + print('--' + s + '--') + print('--' + reference + '--') assert s == reference @@ -199,7 +199,7 @@ |E """ if s != reference: - print '--' + s + '--' - print '--' + reference + '--' - - assert s == reference + print('--' + s + '--') + print('--' + reference + '--') + + assert s == reference --- ./theano/tests/test_ifelse.py (original) +++ ./theano/tests/test_ifelse.py (refactored) @@ -426,4 +426,4 @@ if __name__ == '__main__': - RefactoringTool: Refactored ./theano/tests/test_gradient.py RefactoringTool: Refactored ./theano/tests/test_determinism.py RefactoringTool: No changes to ./theano/tests/test_config.py RefactoringTool: Refactored ./theano/tests/test_2nd_order_grads.py RefactoringTool: Refactored ./theano/tests/run_tests_in_batch.py print ' Use nosetests to run these tests ' + print(' Use nosetests to run these tests ') --- ./theano/tests/test_gradient.py (original) +++ ./theano/tests/test_gradient.py (refactored) @@ -22,8 +22,8 @@ """ if inputs is None: inputs = theano.gof.graph.inputs([source[0] for source in sources]) - return dict(zip(inputs,theano.gradient.grad(cost=None, known_grads=dict(sources), - wrt=inputs, consider_constant=inputs))) + return dict(list(zip(inputs,theano.gradient.grad(cost=None, known_grads=dict(sources), + wrt=inputs, consider_constant=inputs)))) class testgrad_sources_inputs(unittest.TestCase): @@ -460,9 +460,9 @@ true_grads = true_grads(*values) for layer in layers: - print 'Testing by separately computing ',layer + print('Testing by separately computing ',layer) first = theano.tensor.grad(cost, layer, disconnected_inputs='ignore') - known = dict(zip(layer, first)) + known = dict(list(zip(layer, first))) full = theano.tensor.grad(cost=None, known_grads=known,wrt=inputs, disconnected_inputs='ignore') full = theano.function(inputs, full) @@ -470,13 +470,13 @@ assert len(true_grads) == len(full) for a, b, var in zip(true_grads, full, inputs): if not np.allclose(a, b): - print 'Failure' - print a - print b - print var - print layer + print('Failure') + print(a) + print(b) + print(var) + print(layer) for v in known: - print v,':',theano.function(inputs,known[v])(*values) + print(v,':',theano.function(inputs,known[v])(*values)) assert False def test_dxdx(): --- ./theano/tests/test_determinism.py (original) +++ ./theano/tests/test_determinism.py (refactored) @@ -82,7 +82,7 @@ log = run(0) # Do several trials, since failure doesn't always occur # (Sometimes you sample the same outcome twice in a row) - for i in xrange(10): + for i in range(10): run(1, log) if __name__ == '__main__': --- ./theano/tests/test_2nd_order_grads.py (original) +++ ./theano/tests/test_2nd_order_grads.py (refactored) @@ -57,7 +57,7 @@ y = 2 * x.sum(axis=0) rng = numpy.random.RandomState(seed=utt.fetch_seed()) ev = numpy.zeros((10, 10, 10)) - for dx in xrange(10): + for dx in range(10): ev[dx, :, dx] = 2. # test when the jacobian is called with a tensor as wrt @@ -90,7 +90,7 @@ vJs = f(vx, vz) evx = numpy.zeros((10, 10, 10)) evz = numpy.zeros((10, 10, 10)) - for dx in xrange(10): + for dx in range(10): evx[dx, dx, :] = vx[dx, :] evz[dx, dx, :] = vz[dx, :] assert numpy.allclose(vJs[0], evz) --- ./theano/tests/run_tests_in_batch.py (original) +++ ./theano/tests/run_tests_in_batch.py (refactored) @@ -54,7 +54,7 @@ """ -import cPickle +import pickle import datetime import os import subprocess @@ -131,10 +131,10 @@ os.remove('.noseids') # Collect test IDs. - print """\ + print("""\ #################### # COLLECTING TESTS # -####################""" +####################""") stdout.flush() stderr.flush() dummy_in = open(os.devnull) @@ -152,7 +152,7 @@ stderr.flush() assert rval == 0 noseids_file = '.noseids' - data = cPickle.load(open(noseids_file, 'rb')) + data = pickle.load(open(noseids_file, 'rb')) ids = data['ids'] n_tests = len(ids) if n_tests == 0: @@ -162,20 +162,20 @@ # Standard batch testing is called for if not time_profile: failed = set() - print """\ + print("""\ ################################### # RUNNING TESTS IN BATCHES OF %s # -###################################""" % batch_size +###################################""" % batch_size) # When `display_batch_output` is False, we suppress all output because # we want the useRefactoringTool: Refactored ./theano/tests/record.py r to focus only on the failed tests, which are re-run # (with output) below. dummy_out = open(os.devnull, 'w') - for test_id in xrange(1, n_tests + 1, batch_size): + for test_id in range(1, n_tests + 1, batch_size): stdout.flush() stderr.flush() - test_range = range(test_id, min(test_id + batch_size, n_tests + 1)) + test_range = list(range(test_id, min(test_id + batch_size, n_tests + 1))) cmd = ([python, theano_nose, '--with-id'] + - map(str, test_range) + + list(map(str, test_range)) + argv) subprocess_extra_args = dict(stdin=dummy_in.fileno()) if not display_batch_output: @@ -193,18 +193,18 @@ # otherwise this field may get erased. We use a set because it # seems like it is not systematically erased though, and we want # to avoid duplicates. - failed = failed.union(cPickle.load(open(noseids_file, 'rb')) + failed = failed.union(pickle.load(open(noseids_file, 'rb')) ['failed']) - print '%s%% done in %.3fs (failed: %s)' % ( - (test_range[-1] * 100) // n_tests, t1 - t0, len(failed)) + print('%s%% done in %.3fs (failed: %s)' % ( + (test_range[-1] * 100) // n_tests, t1 - t0, len(failed))) # Sort for cosmetic purpose only. failed = sorted(failed) if failed: # Re-run only failed tests - print """\ + print("""\ ################################ # RE-RUNNING FAILED TESTS ONLY # -################################""" +################################""") stdout.flush() stderr.flush() subprocess.call( @@ -218,17 +218,17 @@ stderr.flush() return 0 else: - print """\ + print("""\ #################### # ALL TESTS PASSED # -####################""" +####################""") # Time-profiling is called for else: - print """\ + print("""\ ######################################## # RUNNING TESTS IN TIME-PROFILING MODE # -########################################""" +########################################""") # finds first word of list l containing string s def getIndexOfFirst(l, s): @@ -262,8 +262,8 @@ f_nosort.write('TIME-PROFILING OF THEANO\'S NOSETESTS' ' (by sequential id)\n\n' + stamp + fields) f_nosort.flush() - for test_floor in xrange(1, n_tests + 1, batch_size): - for test_id in xrange(test_floor, min(test_floor + batch_size, + for test_floor in range(1, n_tests + 1, batch_size): + for test_id in range(test_floor, min(test_floor + batch_size, n_tests + 1)): # Print the test we will start in the raw log to help # debug tests that are too long. @@ -333,7 +333,7 @@ f_nosort.write(s_nosort) f_nosort.flush() - print '%s%% time-profiled' % ((test_id * 100) // n_tests) + print('%s%% time-profiled' % ((test_id * 100) // n_tests)) f_rawlog.close() # sorting tests according to running-time @@ -345,7 +345,7 @@ f_sort = open(path_sort, 'w') f_sort.write('TIME-PROFILING OF THEANO\'S NOSETESTS' ' (sorted by computation time)\n\n' + stamp + fields) - for i in xrange(len(prof_master_nosort)): + for i in range(len(prof_master_nosort)): s_sort = ((str(prof_master_sort[i][0]) + 's').ljust(10) + " " + prof_master_sort[i][1].ljust(7) + " " + prof_master_sort[i][2] + prof_master_sort[i][3] + --- ./theano/tests/record.py (original) +++ ./theano/tests/record.py (refactored) @@ -69,7 +69,7 @@ if record is None: record = Record(**kwargs) else: - assert len(kRefactoringTool: Refactored ./theano/tests/main.py RefactoringTool: No changes to ./theano/tests/diverse_tests.py RefactoringTool: Refactored ./theano/tests/disturb_mem.py RefactoringTool: No changes to ./theano/tests/__init__.py RefactoringTool: No changes to ./theano/tensor/xlogx.py RefactoringTool: Refactored ./theano/tensor/var.py RefactoringTool: Refactored ./theano/tensor/utils.py wargs.keys()) == 0 + assert len(list(kwargs.keys())) == 0 self.set_record(record) @@ -77,20 +77,20 @@ def handle_line(line, i, node, fn): try: self.record.handle_line(line) - except MismatchError, e: - print 'Got this MismatchError:' - print e - print 'while processing node i='+str(i)+':' - print 'str(node):',str(node) - print 'Symbolic inputs: ' + except MismatchError as e: + print('Got this MismatchError:') + print(e) + print('while processing node i='+str(i)+':') + print('str(node):',str(node)) + print('Symbolic inputs: ') for elem in node.inputs: - print theano.printing.min_informative_str(elem) - print 'str(output) of outputs: ' + print(theano.printing.min_informative_str(elem)) + print('str(output) of outputs: ') for elem in fn.outputs: assert isinstance(elem, list) elem, = elem - print str(elem) - print 'function name: '+node.fgraph.name + print(str(elem)) + print('function name: '+node.fgraph.name) raise MismatchError("Non-determinism detected by WrapLinker") def callback(i, node, fn): --- ./theano/tests/main.py (original) +++ ./theano/tests/main.py (refactored) @@ -40,9 +40,9 @@ nose = import_nose() import theano - print "Theano version %s" % theano.__version__ + print("Theano version %s" % theano.__version__) theano_dir = os.path.dirname(theano.__file__) - print "theano is installed in %s" % theano_dir + print("theano is installed in %s" % theano_dir) super(TheanoNoseTester, self)._show_system_info() @@ -142,4 +142,4 @@ tests = unittest.TestLoader().loadTestsFromModule(module) unittest.TextTestRunner(verbosity=2).run(tests) else: - print "options: [--debug]" + print("options: [--debug]") --- ./theano/tests/disturb_mem.py (original) +++ ./theano/tests/disturb_mem.py (refactored) @@ -18,4 +18,4 @@ ms = int(ms) n = ms % 1000 m = ms // 1000 - l = [[0]*m for i in xrange(n)] + l = [[0]*m for i in range(n)] --- ./theano/tensor/var.py (original) +++ ./theano/tensor/var.py (refactored) @@ -56,7 +56,7 @@ rval._is_nonzero = False return rval - def __nonzero__(self): + def __bool__(self): # This is meant to prohibit stuff like a < b < c, which is internally # implemented as (a < b) and (b < c). The trouble with this is the # side-effect that checking for a non-NULL a by typing "if a: ..." @@ -415,7 +415,7 @@ def __iter__(self): try: - for i in xrange(theano.tensor.basic.get_vector_length(self)): + for i in range(theano.tensor.basic.get_vector_length(self)): yield self[i] except TypeError: # This prevents accidental iteration via builtin.sum(self) --- ./theano/tensor/utils.py (original) +++ ./theano/tensor/utils.py (refactored) @@ -42,7 +42,7 @@ hashable. """ - items = d.items() + items = list(d.items()) items.sort() first_part = [k for k, v in items] second_part = [] @@ -81,12 +81,12 @@ input_dims = [dimension for inp in fgraph.inputs for dimension in fgraph.shape_feature.shape_of[inp]] - output_dims = [dimension for shape in fgraph.shape_feature.shape_of.values() + output_dims = [dimension for shape in list(fgraph.shape_feature.shape_of.values()) for dimension in shape] compute_shapes = theano.function(input_dims, output_dims) - if any([i not in fgraph.inputs for i in input_shapes.keys()]): + if any([i not in fgraph.inputs for i in list(input_shapes.keys())]): raise ValueErrRefactoringTool: Refactored ./theano/tensor/type_other.py RefactoringTool: Refactored ./theano/tensor/type.py RefactoringTool: Refactored ./theano/tensor/tests/test_xlogx.py RefactoringTool: No changes to ./theano/tensor/tests/test_utils.py RefactoringTool: Refactored ./theano/tensor/tests/test_subtensor.py or( "input_shapes keys aren't in the fgraph.inputs. FunctionGraph()" " interface changed. Now by default, it clones the graph it receives." @@ -96,7 +96,7 @@ for dim in input_shapes[inp]] numeric_output_dims = compute_shapes(*numeric_input_dims) - sym_to_num_dict = dict(zip(output_dims, numeric_output_dims)) + sym_to_num_dict = dict(list(zip(output_dims, numeric_output_dims))) l = {} for var in fgraph.shape_feature.shape_of: --- ./theano/tensor/type_other.py (original) +++ ./theano/tensor/type_other.py (refactored) @@ -18,8 +18,8 @@ class MakeSlice(Op): def make_node(self, slc): return Apply(self, - map(as_int_none_variable, - [slc.start, slc.stop, slc.step]), + list(map(as_int_none_variable, + [slc.start, slc.stop, slc.step])), [slicetype()]) def perform(self, node, inp, out_): --- ./theano/tensor/type.py (original) +++ ./theano/tensor/type.py (refactored) @@ -208,7 +208,7 @@ def value_validity_msg(self, a): try: self.filter(a, strict=True) - except Exception, e: + except Exception as e: return str(e) return "value is valid" --- ./theano/tensor/tests/test_xlogx.py (original) +++ ./theano/tensor/tests/test_xlogx.py (refactored) @@ -4,7 +4,7 @@ import theano from theano.tensor import as_tensor_variable -import test_basic as TT +from . import test_basic as TT import random import numpy.random --- ./theano/tensor/tests/test_subtensor.py (original) +++ ./theano/tensor/tests/test_subtensor.py (refactored) @@ -1,4 +1,4 @@ -from itertools import izip + import logging import sys import unittest @@ -101,7 +101,7 @@ n = self.shared(numpy.ones((), dtype=self.dtype)) try: t = n[0] - except ValueError, e: + except ValueError as e: self.assertTrue(hasattr(e, 'subtensor_invalid')) return self.fail() @@ -122,7 +122,7 @@ try: try: self.eval_output_and_check(t) - except IndexError, e: + except IndexError as e: return self.fail() finally: @@ -132,7 +132,7 @@ n = self.shared(numpy.ones(3, dtype=self.dtype)) try: t = n[slice(0, slice(1, 2, None), None)] - except Exception, e: + except Exception as e: ### Relax constraint on the type of Exception, ### since this might be handled by AvancedSubtensor #if e[0] != Subtensor.e_indextype: @@ -173,7 +173,7 @@ n = self.shared(numpy.ones(1, dtype=self.dtype)) try: t = n[0, 0] - except ValueError, e: + except ValueError as e: self.assertTrue(hasattr(e, 'subtensor_invalid')) return self.fail() @@ -299,7 +299,7 @@ def test_long(self): n = self.shared(numpy.arange(12, dtype=self.dtype).reshape((4, 3))) - t = n[1L:4L:2L, 1L] + t = n[1:4:2, 1] self.assertTrue(isinstance(t.owner.op, Subtensor)) tval = self.eval_output_and_check(t) self.assertTrue(tval.shape == (2,)) @@ -309,7 +309,7 @@ # Currently, we cast Python longs to int64 when used for indexing. # This test checks that using a long that does not fit raises an error. n = self.shared(numpy.arange(12, dtype=self.dtype).reshape((4, 3))) - self.assertRaises(Exception, lambda: n[:(2L ** 63)]) + self.assertRaises(Exception, lambda: n[:(2 ** 63)]) def test_newaxis(self): """ @@ -831,7 +831,7 @@ data_num_init = numpy.arange(data_size, dtype=self.dtype) data_num_init = data_num_init.reshape(data_shape) inc_shapes = [data_shape[i:] - for i in xrange(0, len(data_shape) + 1)] + for i in range(0, len(dataRefactoringTool: No changes to ./theano/tensor/tests/test_sort.py RefactoringTool: No changes to ./theano/tensor/tests/test_sharedvar.py RefactoringTool: Refactored ./theano/tensor/tests/test_shared_randomstreams.py RefactoringTool: Refactored ./theano/tensor/tests/test_raw_random.py _shape) + 1)] for inc_shape in inc_shapes: inc_n_dims = len(inc_shape) # We copy the numeric value to be 100% sure there is no @@ -919,7 +919,7 @@ f_outs = f(*all_inputs_num) assert len(f_outs) == len(all_outputs_num) - for f_out, output_num in izip(f_outs, all_outputs_num): + for f_out, output_num in zip(f_outs, all_outputs_num): # NB: if this assert fails, it will probably be easier to debug if # you enable the debug code above. assert numpy.allclose(f_out, output_num) --- ./theano/tensor/tests/test_shared_randomstreams.py (original) +++ ./theano/tensor/tests/test_shared_randomstreams.py (refactored) @@ -51,10 +51,10 @@ #print numpy_val0 assert numpy.allclose(fn_val0, numpy_val0) - print fn_val0 - print numpy_val0 - print fn_val1 - print numpy_val1 + print(fn_val0) + print(numpy_val0) + print(fn_val1) + print(numpy_val1) assert numpy.allclose(fn_val1, numpy_val1) def test_seed_fn(self): @@ -257,9 +257,9 @@ in_mval = val_rng.uniform(-2, 2, size=(20,5)) fn_mval0 = f(in_mval) fn_mval1 = f(in_mval) - print in_mval[0] - print fn_mval0[0] - print fn_mval1[0] + print(in_mval[0]) + print(fn_mval0[0]) + print(fn_mval1[0]) assert not numpy.all(in_mval == fn_mval0) assert not numpy.all(in_mval == fn_mval1) assert not numpy.all(fn_mval0 == fn_mval1) @@ -287,9 +287,9 @@ numpy_vval = in_vval.copy() vrng = numpy.random.RandomState(int(rng_seed)) vrng.shuffle(numpy_vval) - print in_vval - print fn_vval - print numpy_vval + print(in_vval) + print(fn_vval) + print(numpy_vval) assert numpy.all(numpy_vval == fn_vval) # Trying to shuffle a vector with function that should shuffle @@ -495,15 +495,15 @@ # Arguments of size (3,) val0 = f(low_val, high_val) numpy_val0 = numpy_rng.uniform(low=low_val, high=high_val) - print 'THEANO', val0 - print 'NUMPY', numpy_val0 + print('THEANO', val0) + print('NUMPY', numpy_val0) assert numpy.all(val0 == numpy_val0) # arguments of size (2,) val1 = f(low_val[:-1], high_val[:-1]) numpy_val1 = numpy_rng.uniform(low=low_val[:-1], high=high_val[:-1]) - print 'THEANO', val1 - print 'NUMPY', numpy_val1 + print('THEANO', val1) + print('NUMPY', numpy_val1) assert numpy.all(val1 == numpy_val1) # Specifying the size explicitly --- ./theano/tensor/tests/test_raw_random.py (original) +++ ./theano/tensor/tests/test_raw_random.py (refactored) @@ -306,8 +306,8 @@ self.assertRaises(ValueError, fm11) self.assertRaises(ValueError, fm12) u01, u02 = f0() - print u01 - print u02 + print(u01) + print(u02) self.assertTrue(numpy.allclose(u01, u02[0])) def test_uniform(self): @@ -328,10 +328,10 @@ val1 = f() numpy_val0 = numpy_rng.uniform(-2.0, 2.0, size=(4,)) numpy_val1 = numpy_rng.uniform(-2.0, 2.0, size=(4,)) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.allclose(val0, numpy_val0)) self.assertTrue(numpy.allclose(val1, numpy_val1)) @@ -355,10 +355,10 @@ val1 = f() numpy_val0 = numpy_rng.binomial(5, 0.8, size=(7, 12)) numpy_val1 = numpy_rng.binomial(5, 0.8, size=(7, 12)) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.all(val0 == numpy_val0)) self.assertTrue(numpy.all(val1 == numpy_val1)) @@ -380,1RefactoringTool: Refactored ./theano/tensor/tests/test_randomstreams.py 0 +380,10 @@ val1 = f() numpy_val0 = numpy_rng.normal(4.0, 2.0, size=(2, 3)) numpy_val1 = numpy_rng.normal(4.0, 2.0, size=(2, 3)) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.allclose(val0, numpy_val0)) self.assertTrue(numpy.allclose(val1, numpy_val1)) @@ -407,10 +407,10 @@ val1 = f() numpy_val0 = numpy_rng.random_integers(-3, 16, size=(11, 8)) numpy_val1 = numpy_rng.random_integers(-3, 16, size=(11, 8)) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.allclose(val0, numpy_val0)) self.assertTrue(numpy.allclose(val1, numpy_val1)) @@ -443,10 +443,10 @@ for i in range(7)]) numpy_val1 = numpy.asarray([numpy_rng.permutation(8) for i in range(7)]) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.all(val0 == numpy_val0)) self.assertTrue(numpy.all(val1 == numpy_val1)) @@ -498,10 +498,10 @@ val1 = f() numpy_val0 = numpy_rng.choice(10, (11, 8), True, None) numpy_val1 = numpy_rng.choice(10, (11, 8), True, None) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.allclose(val0, numpy_val0)) self.assertTrue(numpy.allclose(val1, numpy_val1)) @@ -510,7 +510,7 @@ results as numpy.""" rng_R = random_state_type() post_r, out = permutation(rng_R, size=(9,), n=6) - print 'OUT NDIM', out.ndim + print('OUT NDIM', out.ndim) f = compile.function( [compile.In(rng_R, value=numpy.random.RandomState(utt.fetch_seed()), @@ -527,10 +527,10 @@ for i in range(9)]) numpy_val1 = numpy.asarray([numpy_rng.permutation(6) for i in range(9)]) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.all(val0 == numpy_val0)) self.assertTrue(numpy.all(val1 == numpy_val1)) @@ -552,10 +552,10 @@ val1, = f() numpy_val0 = numpy_rng.multinomial(6, [0.2] * 5, (7, 3)) numpy_val1 = numpy_rng.multinomial(6, [0.2] * 5, (7, 3)) - print val0 - print numpy_val0 - print val1 - print numpy_val1 + print(val0) + print(numpy_val0) + print(val1) + print(numpy_val1) self.assertTrue(numpy.all(val0 == numpy_val0)) self.assertTrue(numpy.all(val1 == numpy_val1)) --- ./theano/tensor/tests/test_randomstreams.py (original) +++ ./theano/tensor/tests/test_randomstreams.py (refactored) @@ -122,8 +122,8 @@ rng = numpy.random.RandomState(realseed) made.random[out.rng] = numpy.random.RandomState(realseed) - print made.fn() - print rng.uniform(size=(2,2)) + print(made.fn()) + print(rng.uniform(size=(2,2))) fn_val0 = made.fn() fn_val1 = made.fn() @@ -186,16 +186,16 @@ made.random.initialize() fn_val0 = made.fn() fn_val1 = made.fn() - print fn_val0 - print fn_val1 + print(fn_val0) + print(fn_val1) rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30) rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit numpy_vRefactoringTool: No changes to ./theano/tensor/tests/test_opt_uncanonicalize.py RefactoringTool: Refactored ./theano/tensor/tests/test_opt.py al0 = rng.uniform(-1, 1, size=(2,2)) numpy_val1 = rng.uniform(-1, 1, size=(2,2)) - print numpy_val0 - print numpy_val1 + print(numpy_val0) + print(numpy_val1) assert numpy.allclose(fn_val0, numpy_val0) assert numpy.allclose(fn_val1, numpy_val1) @@ -301,9 +301,9 @@ in_mval = val_rng.uniform(-2, 2, size=(20,5)) fn_mval0 = mmade.f(in_mval) fn_mval1 = mmade.f(in_mval) - print in_mval[0] - print fn_mval0[0] - print fn_mval1[0] + print(in_mval[0]) + print(fn_mval0[0]) + print(fn_mval1[0]) assert not numpy.all(in_mval == fn_mval0) assert not numpy.all(in_mval == fn_mval1) assert not numpy.all(fn_mval0 == fn_mval1) @@ -334,9 +334,9 @@ numpy_vval = in_vval.copy() vrng = numpy.random.RandomState(int(rng_seed)) vrng.shuffle(numpy_vval) - print in_vval - print fn_vval - print numpy_vval + print(in_vval) + print(fn_vval) + print(numpy_vval) assert numpy.all(numpy_vval == fn_vval) # Trying to shuffle a vector with function that should shuffle --- ./theano/tensor/tests/test_opt.py (original) +++ ./theano/tensor/tests/test_opt.py (refactored) @@ -213,9 +213,9 @@ # e = (x / x) * (y / y) e = (-1 * x) / y / (-2 * z) g = FunctionGraph([x, y, z, a, b, c, d], [e]) - print pprint(g.outputs[0]) + print(pprint(g.outputs[0])) mul_canonizer.optimize(g) - print pprint(g.outputs[0]) + print(pprint(g.outputs[0])) def test_elemwise_multiple_inputs_optimisation(self): """verify that the Canonizer merge sequential Elemwise({mul,add}) part 1 @@ -491,9 +491,9 @@ assert(out_dtype == out.dtype) assert numpy.allclose(out, val_inputs[1]) topo = f.maker.fgraph.toposort() - print "ID TOPO", id, topo, sym_inputs - for r, t in f.maker.fgraph.shape_feature.shape_of.items(): - print ' ', r, t + print("ID TOPO", id, topo, sym_inputs) + for r, t in list(f.maker.fgraph.shape_feature.shape_of.items()): + print(' ', r, t) if topo and not(len(topo)==1 and topo[0].op==deep_copy_op): for node in topo[:-1]: assert isinstance(node.op, Shape_i) @@ -517,10 +517,10 @@ out = f(*val_inputs) assert numpy.allclose(out, (1 / val_inputs[1])) topo = f.maker.fgraph.toposort() - print topo + print(topo) elem = [t for t in topo if isinstance(t.op, T.Elemwise)] assert len(elem) == nb_elemwise - assert isinstance(elem[0].op, (T.Elemwise, )) + assert isinstance(elem[0].op, T.Elemwise) assert isinstance(elem[0].op.scalar_op, ( theano.scalar.basic.Inv, theano.scalar.basic.TrueDiv)) assert(out_dtype == out.dtype) @@ -544,7 +544,7 @@ assert numpy.allclose(out, (val_inputs[0] / val_inputs[3])) topo = f.maker.fgraph.toposort() assert len(topo) == 1 - assert isinstance(topo[0].op, (T.Elemwise, )) + assert isinstance(topo[0].op, T.Elemwise) assert isinstance(topo[0].op.scalar_op, theano.scalar.basic.TrueDiv) assert len(topo[0].inputs) == 2 @@ -569,11 +569,11 @@ val_inputs[0] / val_inputs[1])) topo = f.maker.fgraph.toposort() assert len(topo) == 2 - assert isinstance(topo[0].op, (T.Elemwise, )) + assert isinstance(topo[0].op, T.Elemwise) assert isinstance(topo[0].op.scalar_op, theano.scalar.basic.Mul) assert len(topo[0].inputs) == 2 - assert isinstance(topo[1].op, (T.Elemwise, )) + assert isinstance(topo[1].op, T.Elemwise) assert isinstance(topo[1].op.scalar_op, theano.scalar.basic.TrueDiv) assert len(topo[1].inputs) == 2 @@ -656,8 +656,8 @@ "local_elemwise_fusion") f = theano.function([x], [(4 * x) / abs(2 * x)], mode=mode) - print f.maker.fgraph.toposort() - print + print(f.maker.fgraph.toposort()) + print() f(.1) f(-1) #some stabilization optimization make the output be finite instead of nan @@ -669,8 +669,8 @@ assert f.maker.fgraph.toposort()[0].op == T.sgn f = theano.function([x], [(4 * x) / abs(x / 2)], mode=mode) - print f.maker.fgraph.toposort() - print + print(f.maker.fgraph.toposort()) + print() f(.1) f(-1) #some stabilization optimization make the output be finite instead of nan @@ -717,9 +717,9 @@ assert numpy.allclose(out, val_inputs[0] / val_inputs[1] / val_inputs[2]) topo = f.maker.fgraph.toposort() - print topo + print(topo) assert len(topo) == 2 - assert isinstance(topo[0].op, (T.Elemwise, )) + assert isinstance(topo[0].op, T.Elemwise) assert isinstance(topo[0].op.scalar_op, theano.scalar.basic.Inv) assert len(topo[0].inputs) == 1 @@ -736,9 +736,9 @@ assert numpy.allclose(out, val_inputs[0] / ( val_inputs[1] / val_inputs[2])) topo = f.maker.fgraph.toposort() - print topo + print(topo) assert len(topo) == 2 - assert isinstance(topo[0].op, (T.Elemwise, )) + assert isinstance(topo[0].op, T.Elemwise) assert isinstance(topo[0].op.scalar_op, theano.scalar.basic.Inv) assert len(topo[0].inputs) == 1 @@ -1050,9 +1050,9 @@ out_dtype = out_dtype[config.cast_policy] if (gpu and (out_dtype != 'float32' or any(i.dtype != 'float32' for i in g.owner.inputs))): - print "Skip test %d as the gpu code currently supports only float32" % id + print("Skip test %d as the gpu code currently supports only float32" % id) continue - print "new cases", id + print("new cases", id) if shared_fn is None: assert gpu is False @@ -1080,9 +1080,9 @@ atol = 1e-6 if not numpy.allclose(out, answer * nb_repeat, atol=atol): fail1.append(id) - print val_inputs - print out - print answer * nb_repeat + print(val_inputs) + print(out) + print(answer * nb_repeat) #assert 0 topo = f.maker.fgraph.toposort() if gpu: @@ -1114,7 +1114,7 @@ fail4.append((id, out_dtype, out.dtype)) failed = len(fail1 + fail2 + fail3 + fail4) - print "Executed", len(cases), "cases", "failed", failed + print("Executed", len(cases), "cases", "failed", failed) if failed > 0: raise Exception("Failed %d cases" % failed, fail1, fail2, fail3, fail4) @@ -1192,19 +1192,19 @@ #Follow up. Clinker do the same... second cause? mode2 = copy.copy(compile.get_default_mode()) mode2._optimizer = mode2._optimizer.excluding('local_elemwise_fusion') - print "test with linker", str(mode1.linker) + print("test with linker", str(mode1.linker)) times1 = self.do(mode1, shared_fn, shp, gpu=gpu, nb_repeat= nb_repeat, assert_len_topo=False, slice=s) times2 = self.do(mode2, shared_fn, shp, gpu=gpu, nb_repeat= nb_repeat, assert_len_topo=False, slice=s) - print "times1 with local_elemwise_fusion" - print times1, times1.min(), times1.max(), times1.sum() - print "times2 without local_elemwise_fusion" - print times2, times2.min(), times2.max(), times2.sum() + print("times1 with local_elemwise_fusion") + print(times1, times1.min(), times1.max(), times1.sum()) + print("times2 without local_elemwise_fusion") + print(times2, times2.min(), times2.max(), times2.sum()) d = times2 / times1 - print "times2/times1" - print d - print "min", d.min(), "argmin", d.argmin(), "max", d.max(), \ - "mean", d.mean(), "std", d.std() + print("times2/times1") + print(d) + print("min", d.min(), "argmin", d.argmin(), "max", d.max(), \ + "mean", d.mean(), "std", d.std()) def test_fusion_inplace(self): mode = copy.copy(compile.mode.get_default_mode()) @@ -1232,8 +1232,8 @@ linker = gof.OpWiseCLinker mode = compile.Mode(linker(), copy.copy(compile.mode.OPT_FAST_RUN)) mode = compile.ProfileMode() - print "time", self.do(mode, shared, shp=(1000, 1000), gpu= - False, assert_len_topo=False, slice=s, nb_repeat=100) + print("time", self.do(mode, shared, shp=(1000, 1000), gpu= + False, assert_len_topo=False, slice=s, nb_repeat=100)) def tes_memory_leak(self, mode=compile.mode.Mode('c', 'merge'), shared_fn=shared, shp=(3000,3000), gpu=False, nb_repeat=30, assert_len_topo=True, slice=None): @@ -1283,15 +1283,14 @@ gc.collect() gc.collect() nd = objgraph.typestats() - print 'key, old val, new val, diff' - for key in set(d.keys() + nd.keys()): - if d.has_key(key) and nd.has_key(key) and nd[key]!=d[key]: - print key, d.get(key), nd.get(key), - if d.has_key( - key) and nd.has_key(key): - print nd[key] - d[key] + print('key, old val, new val, diff') + for key in set(list(d.keys()) + list(nd.keys())): + if key in d and key in nd and nd[key]!=d[key]: + print(key, d.get(key), nd.get(key), end=' ') + if key in d and key in nd: + print(nd[key] - d[key]) else: - print None + print(None) gc.collect() gc.collect() gc.collect() @@ -1362,7 +1361,9 @@ float %(nodename)s_timesn(float x) { return x * %(n)s; } """ % locals() - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme, xxx_todo_changeme1, sub): + (x, ) = xxx_todo_changeme + (z, ) = xxx_todo_changeme1 return "%(z)s = %(name)s_timesn(%(x)s);" % locals() @@ -1436,7 +1437,7 @@ # check trickier cases (and use different dtype) y = fmatrix() f = function([x, y], T.log(tensor.fill(y, 1) + (x)), mode=m) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) # the first three ops are Shape_i, Shape_i, and Dimshuffle theano.printing.debugprint(f) assert [node.op for node in f.maker.fgraph.toposort()][3:] \ @@ -1486,12 +1487,12 @@ theano.printing.debugprint(f) - print f([10000], [10000]) # causes overflow if handled incorrectly + print(f([10000], [10000])) # causes overflow if handled incorrectly assert numpy.isfinite(f([10000], [10000])) assert numpy.allclose(f([10000], [10000]), 10000 + numpy.log1p(1)) #test that it give the same result when it don't overflow - print f([10], [10]) # don't causes overflow + print(f([10], [10])) # don't causes overflow assert numpy.allclose(f([10], [10]), 10 + numpy.log1p(1)) # test that it also works with more than two args, (this currently fails) @@ -1502,7 +1503,7 @@ theano.printing.debugprint(f) try: - print f([10000], [10000]) # causes overflow if handled incorrectly + print(f([10000], [10000])) # causes overflow if handled incorrectly assert numpy.allclose(f([10000], [10000]), 20000) except AssertionError: raise KnownFailureTest(('log(add(exp)) is not stabilized when adding ' @@ -1885,7 +1886,7 @@ for idx in range(-x_s[0], x_s[0]): f(x_val, idx) # let debugmode test something - for idx in (range(x_s[0], 9) + range(-9, -x_s[0])): + for idx in (list(range(x_s[0], 9)) + list(range(-9, -x_s[0]))): self.assertRaises(IndexError, f, x_val, idx) self.assertRaises(IndexError, g, x_val, idx) @@ -2004,10 +2005,10 @@ #print topo[-1].op assert isinstance(topo[-1].op, DeepCopyOp) - b1r = self.rng.permutation(range(-8, 8))[:2] - e1r = self.rng.permutation(range(-8, 8))[:2] - b2r = self.rng.permutation(range(-8, 8))[:2] - e2r = self.rng.permutation(range(-8, 8))[:2] + b1r = self.rng.permutation(list(range(-8, 8)))[:2] + e1r = self.rng.permutation(list(range(-8, 8)))[:2] + b2r = self.rng.permutation(list(range(-8, 8)))[:2] + e2r = self.rng.permutation(list(range(-8, 8)))[:2] s1r = self.rng.permutation([-7, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 7])[:2] @@ -2087,9 +2088,9 @@ #print topo[-1].op assert isinstance(topo[-1].op, DeepCopyOp) - b_r = self.rng.permutation(range(-4, 4))[:3] - e_r = self.rng.permutation(range(-4, 4))[:3] - i_r = self.rng.permutation(range(-4, 4))[:3] + b_r = self.rng.permutation(list(range(-4, 4)))[:3] + e_r = self.rng.permutation(list(range(-4, 4)))[:3] + i_r = self.rng.permutation(list(range(-4, 4)))[:3] s_r = self.rng.permutation([-3, -2, -1, 1, 2, 3])[:3] @@ -2116,8 +2117,8 @@ n_ok += 1 f(x_val, b_v, e_v, s_v, i_v) - print 'shape: %s' % (x_s,) - print '%% OK: %f' % (float(n_ok) * 100 / (n_ok + n_index_err)) + print('shape: %s' % (x_s,)) + print('%% OK: %f' % (float(n_ok) * 100 / (n_ok + n_index_err))) def test_none_slice(self): # Test case of two slices, var[b1:e1:s1][b2:e2:s2] @@ -2135,10 +2136,10 @@ none_positions = numpy.ndindex(2, 2, 2, 2, 2, 2) # Ranges to be used when not None - b1r = self.rng.permutation(range(-4, 4))[:] - e1r = self.rng.permutation(range(-4, 4))[:] - b2r = self.rng.permutation(range(-4, 4))[:] - e2r = self.rng.permutation(range(-4, 4))[:] + b1r = self.rng.permutation(list(range(-4, 4)))[:] + e1r = self.rng.permutation(list(range(-4, 4)))[:] + b2r = self.rng.permutation(list(range(-4, 4)))[:] + e2r = self.rng.permutation(list(range(-4, 4)))[:] s1r = self.rng.permutation([-4, -3, -2, -1, 1, 2, 3, 4])[:] s2r = self.rng.permutation([-4, -3, -2, -1, 1, 2, 3, 4])[:] @@ -2194,9 +2195,9 @@ none_positions = numpy.ndindex(2, 2, 2, 1) # Ranges to be used when not None - b_r = self.rng.permutation(range(-4, 4))[:] - e_r = self.rng.permutation(range(-4, 4))[:] - i_r = self.rng.permutation(range(-4, 4))[:] + b_r = self.rng.permutation(list(range(-4, 4)))[:] + e_r = self.rng.permutation(list(range(-4, 4)))[:] + i_r = self.rng.permutation(list(range(-4, 4)))[:] s_r = self.rng.permutation([-4, -3, -2, -1, 1, 2, 3, 4])[:] scalar_vars = [b, e, s, i] @@ -2537,9 +2538,9 @@ c01b = T.set_subtensor(wide_infinity[:, 0:img_shp, 0:img_shp, :], c01b) - for row_within_pool in xrange(pool_shp): + for row_within_pool in range(pool_shp): row_stop = last_pool_r + row_within_pool + 1 - for col_within_pool in xrange(pool_shp): + for col_within_pool in range(pool_shp): col_stop = last_pool_c + col_within_pool + 1 cur = c01b[:, row_within_pool:row_stop:pool_stride, col_within_pool:col_stop:pool_stride, :] @@ -2646,7 +2647,7 @@ mode = theano.compile.get_default_mode().excluding('ShapeOpt') f = theano.function([X], expr, mode=mode) - print f([[1, 2], [2, 3]]) + print(f([[1, 2], [2, 3]])) def test_no_cycle(self): # Optimizing this graph resulted in a cycle, see gh-1549 @@ -2682,7 +2683,7 @@ def test0(self): x = T.scalar() y = T.scalar() - f = theano.function([x, y], theano.tensor.opt.assert_(x, T.eq(x, y))) + f = theano.function([x, y], theano.tensor.opt.assertTrue(x, T.eq(x, y))) f(1, 1) self.assertRaises(AssertionError, f, 1, 0) @@ -2694,7 +2695,7 @@ mode = compile.mode.get_mode(mode) x = T.scalar() - f = theano.function([x], theano.tensor.opt.assert_(x, 1), mode=mode) + f = theano.function([x], theano.tensor.opt.assertTrue(x, 1), mode=mode) assert f(1) == 1 assert f(5) == 5 topo = f.maker.fgraph.toposort() @@ -2710,7 +2711,7 @@ x = T.scalar() y = T.scalar() - f = theano.function([x, y], theano.tensor.opt.assert_(x, y, + f = theano.function([x, y], theano.tensor.opt.assertTrue(x, y, 1), mode=mode) assert f(1, 1) == 1 assert f(5, 1) == 5 @@ -2728,7 +2729,7 @@ x = T.scalar() y = T.scalar() - f = theano.function([x, y], theano.tensor.opt.assert_(x, y, + f = theano.function([x, y], theano.tensor.opt.assertTrue(x, y, 0), mode=mode) self.assertRaises(AssertionError, f, 1, 0) topo = f.maker.fgraph.toposort() @@ -2742,14 +2743,14 @@ bdscal = dscalar() adscal_val = numpy.random.rand() bdscal_val = numpy.random.rand() + 1 - out = theano.tensor.opt.assert_(adscal, bdscal) + out = theano.tensor.opt.assertTrue(adscal, bdscal) self._compile_and_check([adscal, bdscal], [out], [adscal_val, bdscal_val], Assert) admat = dmatrix() admat_val = numpy.random.rand(3, 4) adscal_val += 1 - out = theano.tensor.opt.assert_(admat, adscal, bdscal) + out = theano.tensor.opt.assertTrue(admat, adscal, bdscal) self._compile_and_check([admat, adscal, bdscal], [out], [admat_val, adscal_val, bdscal_val], Assert) @@ -2766,34 +2767,34 @@ f = function([v], v * 1, mode=mode) nodes = [node.op for node in f.maker.fgraph.toposort()] - print nodes + print(nodes) nodes == [deep_copy_op] f = function([v], v * 0, mode=mode) nodes = [node.op for node in f.maker.fgraph.toposort()] - print nodes + print(nodes) assert nodes == [Shape_i(0), T.alloc] f = function([v], v * (-1), mode=mode) nodes = [node.op for node in f.maker.fgraph.toposort()] - print nodes + print(nodes) assert nodes == [T.neg] f = function([v, m], v * 1 * (-m), mode=mode) nodes = [node.op for node in f.maker.fgraph.toposort()] - print nodes + print(nodes) theano.printing.debugprint(f) assert nodes == [T.mul, inplace.neg_inplace] f = function([v, m], v * 0 * (-m), mode=mode) nodes = [node.op for node in f.maker.fgraph.toposort()] - print nodes + print(nodes) theano.printing.debugprint(f) assert nodes == [Shape_i(0), T.alloc] f = function([v, m], v * (-1) * (-m), mode=mode) nodes = [node.op for node in f.maker.fgraph.toposort()] - print nodes + print(nodes) theano.printing.debugprint(f) assert nodes == [T.mul] @@ -2812,9 +2813,9 @@ t2 = time.time() f2(val) t3 = time.time() - print i, t2 - t1, t3 - t2, t2 - t1 < t3 - t2 + print(i, t2 - t1, t3 - t2, t2 - t1 < t3 - t2) if not t2 - t1 < t3 - t2: - print "WARNING WE ARE SLOWER" + print("WARNING WE ARE SLOWER") for i in range(-3, -1500, -1): f1 = function([v], v ** i, mode=mode) f2 = function([v], v ** i, mode=mode_without_pow_opt) @@ -2824,9 +2825,9 @@ t2 = time.time() f2(val) t3 = time.time() - print i, t2 - t1, t3 - t2, t2 - t1 < t3 - t2 + print(i, t2 - t1, t3 - t2, t2 - t1 < t3 - t2) if not t2 - t1 < t3 - t2: - print "WARNING WE ARE SLOWER" + print("WARNING WE ARE SLOWER") def test_local_pow_specialize(): @@ -2965,7 +2966,7 @@ f2 = theano.function([x], T.eq(x, x), mode=self.mode) assert numpy.all(f2(vx) == numpy.ones((5, 4))) topo2 = f2.maker.fgraph.toposort() - print topo2 + print(topo2) #Shape_i{1}(), Shape_i{0}(), Alloc([[1]], Shape_i{0}.0, Shape_i{1}.0 assert len(topo2) == 3 assert isinstance(topo2[-1].op, T.Alloc) @@ -2984,7 +2985,7 @@ f2 = theano.function([x], T.neq(x, x), mode=self.mode) assert numpy.all(f2(vx) == numpy.zeros((5, 4))) topo2 = f2.maker.fgraph.toposort() - print topo2 + print(topo2) assert len(topo2) == 3 assert isinstance(topo2[-1].op, T.Alloc) @@ -3001,7 +3002,7 @@ f2 = theano.function([x, y], T.mul(x, y), mode=self.mode) assert numpy.all(f2(vx, vy) == vx * vy) topo2 = f2.maker.fgraph.toposort() - print topo2 + print(topo2) assert len(topo2) == 1 assert isinstance(topo2[0].op, T.Elemwise) assert isinstance(topo2[0].op.scalar_op, theano.scalar.Mul) @@ -3019,7 +3020,7 @@ f2 = theano.function([x, y], T.add(x, y), mode=self.mode) assert numpy.all(f2(vx, vy) == vx + vy) topo2 = f2.maker.fgraph.toposort() - print topo2 + print(topo2) assert len(topo2) == 1 assert isinstance(topo2[0].op, T.Elemwise) assert isinstance(topo2[0].op.scalar_op, theano.scalar.Add) @@ -3149,20 +3150,20 @@ x = T.vector() f = theano.function([x], 1 + T.erf(x), mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.mul, T. erfc], f.maker.fgraph.toposort() f(val) f = theano.function([x], T.erf(x) + 1, mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.mul, T. erfc], f.maker.fgraph.toposort() f(val) f = theano.function([x], T.erf(x) + 2, mode=self.mode) topo = f.maker.fgraph.toposort() - print topo + print(topo) assert len(topo) == 2 assert topo[0].op == T.erf assert isinstance(topo[1].op, T.Elemwise) @@ -3175,32 +3176,32 @@ x = T.vector() f = theano.function([x], 1 - T.erf(x), mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erfc]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], 1 + (-T.erf(x)), mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erfc]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], (-T.erf(x)) + 1, mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erfc]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], 2 - T.erf(x), mode=self.mode) topo = f.maker.fgraph.toposort() - print topo + print(topo) assert len(topo) == 2, f.maker.fgraph.toposort() assert topo[0].op == T.erf, f.maker.fgraph.toposort() assert isinstance(topo[1].op, T.Elemwise), f.maker.fgraph.toposort() assert isinstance(topo[1].op.scalar_op, scal.Add)\ or isinstance(topo[1].op.scalar_op,scal.Sub), f.maker.fgraph.toposort() - print f(val) + print(f(val)) def test_local_erf_minus_one(self): val = numpy.asarray([-30, -3, -2, -1, 0, 1, 2, 3, 30], @@ -3208,29 +3209,29 @@ x = T.vector() f = theano.function([x], T.erf(x) - 1, mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erfc, T.mul] - print f(val) + print(f(val)) f = theano.function([x], T.erf(x) + (-1), mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erfc, T.mul] - print f(val) + print(f(val)) f = theano.function([x], -1 + T.erf(x), mode=self.mode) - print f.maker.fgraph.toposort() + print(f.maker.fgraph.toposort()) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erfc, T.mul] - print f(val) + print(f(val)) f = theano.function([x], T.erf(x) - 2, mode=self.mode) topo = f.maker.fgraph.toposort() - print topo + print(topo) assert len(topo) == 2 assert topo[0].op == T.erf assert isinstance(topo[1].op, T.Elemwise) assert isinstance(topo[1].op.scalar_op, scal.Add)\ or isinstance(topo[1].op.scalar_op, scal.Sub) - print f(val) + print(f(val)) class T_local_erfc(unittest.TestCase): @@ -3RefactoringTool: Refactored ./theano/tensor/tests/test_naacl09.py 253,13 +3254,13 @@ theano.printing.debugprint(f) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erf]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], (-T.erfc(x)) + 1, mode=self.mode) theano.printing.debugprint(f) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erf]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], 2 - T.erfc(x), mode=self.mode) topo = f.maker.fgraph.toposort() @@ -3269,7 +3270,7 @@ assert isinstance(topo[1].op, T.Elemwise), f.maker.fgraph.toposort() assert isinstance(topo[1].op.scalar_op, scal.Sub)\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) def test_local_erf_neg_minus_one(self): """ test opt: (-1)+erfc(-x)=>erf(x)""" @@ -3281,19 +3282,19 @@ theano.printing.debugprint(f) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erf]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], T.erfc(-x) - 1, mode=self.mode) theano.printing.debugprint(f) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erf]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) f = theano.function([x], T.erfc(-x) + (-1), mode=self.mode) theano.printing.debugprint(f) assert [n.op for n in f.maker.fgraph.toposort()] == [T.erf]\ , f.maker.fgraph.toposort() - print f(val) + print(f(val)) def test_local_log_erfc(self): val = [-30, -27, -26, -11, -10, -3, -2, -1, 0, 1, 2, 3, 10, @@ -3418,14 +3419,14 @@ f1 = theano.function([x], T.log(T.erfc(x)), mode=mode. excluding("local_log_erfc")) f2 = theano.function([x], T.log(T.erfc(x)), mode=mode) - print f1.maker.fgraph.toposort() - print f2.maker.fgraph.toposort() + print(f1.maker.fgraph.toposort()) + print(f2.maker.fgraph.toposort()) t0 = time.time() f1(val) t1 = time.time() f2(val) t2 = time.time() - print t1 - t0, t2 - t1 + print(t1 - t0, t2 - t1) class test_local_remove_switch_const_cond(unittest.TestCase): @@ -3769,7 +3770,7 @@ config.warn.sum_div_dimshuffle_bug = False try: for i, s in enumerate(sums): - print i + print(i) f = theano.function([a, b, c, d], s, mode=self.mode, on_unused_input='ignore') theano.printing.debugprint(f) @@ -4039,7 +4040,7 @@ out = num_v / denom_m theano.printing.debugprint(out, print_type=True) - print out.broadcastable + print(out.broadcastable) assert numpy.all(out.broadcastable == (True, False)) f = theano.function([num_len_s, denom_s], out) @@ -4133,7 +4134,7 @@ admat = matrix() admat_val = numpy.random.rand(4, 3).astype(config.floatX) - for i in xrange(2): + for i in range(2): f = function([admat], Shape_i(i)(admat)) out = f(admat_val) assert numpy.allclose(out, admat_val.shape[i]) --- ./theano/tensor/tests/test_naacl09.py (original) +++ ./theano/tensor/tests/test_naacl09.py (refactored) @@ -88,7 +88,7 @@ if _qfilters is None: #self.qfilters = [theano.Member(T.dmatrix('q%i'%i)) for i in xrange(n_quadratic_filters)] self.qfilters = [(T.dmatrix('q%i' % i)) - for i in xrange(n_quadratic_filters)] + for i in range(n_quadratic_filters)] else: #self.qfilters = [theano.Member(q) for q in _qfilters] self.qfilters = [(q) for q in _qfilters] @@ -434,8 +434,8 @@ hidden_pretraining_cost, hidden_pretraining_params) pretraining_updates = \ dict((p, p - self.lr * g) for p, g in \ - zip(inRefactoringTool: No changes to ./theano/tensor/tests/test_mpi.py RefactoringTool: Refactored ./theano/tensor/tests/test_misc.py RefactoringTool: Refactored ./theano/tensor/tests/test_merge.py RefactoringTool: No changes to ./theano/tensor/tests/test_keepdims.py RefactoringTool: No changes to ./theano/tensor/tests/test_io.py RefactoringTool: Refactored ./theano/tensor/tests/test_inc_subtensor.py put_pretraining_params, input_pretraining_gradients) \ - + zip(hidden_pretraining_params, hidden_pretraining_gradients)) + list(zip(input_pretraining_params, input_pretraining_gradients)) \ + + list(zip(hidden_pretraining_params, hidden_pretraining_gradients))) self.pretraining_update = module.Method(self.inputs, [input_pretraining_cost, hidden_pretraining_cost], @@ -583,8 +583,8 @@ for i, node in enumerate(m.pretraining_update.maker.fgraph.toposort()): idx_of_node[node] = i if False and i > -1: - print ' ', i, node, [(ii, idx_of_node.get(ii. - owner, 'IN')) for ii in node.inputs] + print(' ', i, node, [(ii, idx_of_node.get(ii. + owner, 'IN')) for ii in node.inputs]) prog_str.append(str(node)) #print input_pretraining_gradients[4].owner.inputs #print input_pretraining_gradients[4].owner.inputs[1].owner.inputs @@ -594,14 +594,14 @@ rng = N.random.RandomState(unittest_tools.fetch_seed(23904)) - inputs = [rng.rand(10, m.input_size) for i in 1, 2, 3] + inputs = [rng.rand(10, m.input_size) for i in (1, 2, 3)] targets = N.asarray([0, 3, 4, 2, 3, 4, 4, 2, 1, 0]) #print inputs #print 'UNSUPERVISED PHASE' t = time.time() - for i in xrange(3): - for j in xrange(iters_per_unsup): + for i in range(3): + for j in range(iters_per_unsup): try: known_fail = False m.pretraining_update(*inputs) @@ -623,8 +623,8 @@ #print 'FINETUNING GRAPH' #print 'SUPERVISED PHASE COSTS (%s)'%optimizer t = time.time() - for i in xrange(3): - for j in xrange(iters_per_unsup): + for i in range(3): + for j in range(iters_per_unsup): m.finetuning_update(*(inputs + [targets])) s0 = str(m.finetuning_update(*(inputs + [targets]))) #print iters_per_sup * (i+1), s0 --- ./theano/tensor/tests/test_misc.py (original) +++ ./theano/tensor/tests/test_misc.py (refactored) @@ -12,7 +12,7 @@ tensor.int_div( tensor.DimShuffle(y[0].broadcastable, ['x'])(y[0]), 2)) sys.stdout.flush() - print f(numpy.ones(1, dtype='int64') * 3) + print(f(numpy.ones(1, dtype='int64') * 3)) # XXX: there is no assert, nor comment that DEBUGMODE is to do the # checking. What was the bug, and how is it being tested? @@ -29,10 +29,10 @@ y = numpy.ones((2, 5)) z = g(x, y) - print z # Should be zero. + print(z) # Should be zero. x.fill(1) - print g(x, y) # Should be non-zero. - print z # Should still be zero. + print(g(x, y)) # Should be non-zero. + print(z) # Should still be zero. assert numpy.linalg.norm(z) == 0 # The code above was supposed to fail when it was written (or, more @@ -62,10 +62,10 @@ z = g(a, b, c) z_backup = copy.copy(z) id_z = id(z) - print('Output z after first call: %s' % (z, )) + print(('Output z after first call: %s' % (z, ))) a[0, 0] = 1 id_other = id(g(a, b, c)) - print ('Output z after second call: %s' % (z, )) + print(('Output z after second call: %s' % (z, ))) # Ensure that calling the function again returns a pointer towards a new # array. assert id_z != id_other --- ./theano/tensor/tests/test_merge.py (original) +++ ./theano/tensor/tests/test_merge.py (refactored) @@ -29,7 +29,7 @@ self.x = x def make_node(self, *inputs): - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if not isinstance(input.type, MyType): raise Exception("Error 1") --- ./theano/tensor/tests/test_inc_subtensor.py (original) +++ ./theano/tensor/tests/test_inc_subtensor.py (refactored) @@ -101,7 +101,7 @@ sl3 = 2 for do_set in [True, False]: - print "Set", do_set + print("Set", do_set) if do_set: RefactoringTool: Refactored ./theano/tensor/tests/test_gc.py RefactoringTool: No changes to ./theano/tensor/tests/test_fourier.py RefactoringTool: Refactored ./theano/tensor/tests/test_extra_ops.py RefactoringTool: Refactored ./theano/tensor/tests/test_elemwise.py resut = tt.set_subtensor(a[sl1, sl3, sl2], increment) --- ./theano/tensor/tests/test_gc.py (original) +++ ./theano/tensor/tests/test_gc.py (refactored) @@ -1,4 +1,4 @@ -import cPickle +import pickle import sys import numpy import theano @@ -24,7 +24,7 @@ x = T.dvector() #print >> sys.stderr, 'BUILDING GRAPH' - for i in xrange(2): #TODO: 30 causes like LONG compilation due to MERGE + for i in range(2): #TODO: 30 causes like LONG compilation due to MERGE if i : r = r + r/10 else: @@ -45,8 +45,8 @@ f = theano.function([x], r,mode=theano.Mode(optimizer=optimizer, linker=f_linker)) g = theano.function([x], r,mode=theano.Mode(optimizer=optimizer, linker=g_linker)) - len_pre_f = len(cPickle.dumps(f)) - len_pre_g = len(cPickle.dumps(g)) + len_pre_f = len(pickle.dumps(f)) + len_pre_g = len(pickle.dumps(g)) # should be no difference at first # In future, FunctionMaker might pickle linker-dependent stuff and make @@ -54,19 +54,19 @@ assert len_pre_f == len_pre_g def a(fn): - return len(cPickle.dumps(fn.maker)) + return len(pickle.dumps(fn.maker)) assert a(f) == a(f) # some sanity checks on the pickling mechanism assert a(g) == a(g) # some sanity checks on the pickling mechanism def b(fn): return len( - cPickle.dumps( + pickle.dumps( theano.compile.function_module._pickle_Function( fn))) assert b(f) == b(f) # some sanity checks on the pickling mechanism def c(fn): - return len(cPickle.dumps(fn)) + return len(pickle.dumps(fn)) assert c(f) == c(f) # some sanity checks on the pickling mechanism assert c(g) == c(g) # some sanity checks on the pickling mechanism @@ -77,8 +77,8 @@ g(numpy.ones(100, dtype='float64')) # serialize the functions again - post_f = cPickle.dumps(f) - post_g = cPickle.dumps(g) + post_f = pickle.dumps(f) + post_g = pickle.dumps(g) len_post_f = len(post_f) len_post_g = len(post_g) @@ -98,7 +98,7 @@ Ironically, there is actually no merging to do in this graph. """ x = T.dvector() - for i in xrange(50): + for i in range(50): if i : r = r + r/10 else: --- ./theano/tensor/tests/test_extra_ops.py (original) +++ ./theano/tensor/tests/test_extra_ops.py (refactored) @@ -195,7 +195,7 @@ class TestRepeatOp(utt.InferShapeTester): def _possible_axis(self, ndim): - return [None] + range(ndim) + [-i for i in range(ndim)] + return [None] + list(range(ndim)) + [-i for i in range(ndim)] def setUp(self): super(TestRepeatOp, self).setUp() --- ./theano/tensor/tests/test_elemwise.py (original) +++ ./theano/tensor/tests/test_elemwise.py (refactored) @@ -1,6 +1,6 @@ -import cPickle +import pickle from copy import copy -from itertools import imap + import unittest import numpy @@ -311,7 +311,7 @@ e = as_tensor_variable(tensor_op(x, axis=tosum)) if tosum is None: - tosum = range(len(xsh)) + tosum = list(range(len(xsh))) f = copy(linker).accept(FunctionGraph([x], [e])).make_function() xv = numpy.asarray(numpy.random.rand(*xsh)) @@ -417,7 +417,7 @@ else: e = tensor_op(x, axis=tosum) if tosum is None: - tosum = range(len(xsh)) + tosum = list(range(len(xsh))) f = copy(linker).accept(FunctionGraph([x], [e.shape])).make_function() if not(scalar_op in [scalar.maximum, scalar.minimum] and @@ -506,7 +506,7 @@ dtype = theano.config.floatX x = TensorType(dtype, [(entry == 1) for entry in xsh])('x') if tosum is None: - tosum = range(len(xsh)) + tosum = list(range(len(xsh))) xv = numpy.asarray(numpy.random.rand(*xsh), dtype=dtype) self._compile_and_check([x], [self.op(scalar.add, axis=tosum)(x)], @@ -630,9 +630,9 @@ def test_pickle_bug(self): # Regression test for bug fixed in 24d4fd291054. o = Prod() - s = cPickle.dumps(o, protocol=-1) - o = cPickle.loads(s) - cPickle.dumps(o) + s = pickle.dumps(o, protocol=-1) + o = pickle.loads(s) + pickle.dumps(o) class test_IsInf_IsNan(unittest.TestCase): @@ -681,7 +681,7 @@ """ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = tensor.matrix(dtype=dtype) s = x.sum(axis=axis) @@ -702,7 +702,7 @@ ##Test the default acc_dtype of a sum(). # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = tensor.matrix(dtype=dtype) s = x.sum(axis=axis) @@ -728,9 +728,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for output_dtype in imap(str, theano.scalar.all_types): + for output_dtype in map(str, theano.scalar.all_types): # If the output is a complex, the gradient of the sum will # cast the complex to the input dtype. We can't call the normal # cast on a complex to a not complex as this is ambiguous. @@ -760,9 +760,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for acc_dtype in imap(str, theano.scalar.all_types): + for acc_dtype in map(str, theano.scalar.all_types): # If the accumulator is a complex, the gradient of the sum will # cast the complex to the input dtype. We can't call the normal # cast on a complex to a not complex as this is ambiguous. @@ -808,7 +808,7 @@ """ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = tensor.matrix(dtype=dtype) m = x.mean(axis=axis) @@ -828,9 +828,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for sum_dtype in imap(str, theano.scalar.all_types): + for sum_dtype in map(str, theano.scalar.all_types): axis = axes[idx % len(axes)] # If the inner sum cannot be created, it will raise a # TypeError. @@ -886,7 +886,7 @@ """ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = tensor.matrix(dtype=dtype) p = x.prod(axis=axis) @@ -909,7 +909,7 @@ """ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = tensor.matrix(dtype=dtype) p = x.prod(axis=axis) @@ -935,9 +935,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for output_dtype in imap(str, theano.scalar.all_types): + for output_dtype in map(str, theano.scalar.all_types): axis = axes[idx % len(axes)] idx += 1 prod_var = x.prod(dtype=output_dtype, axis=axis) @@ -966,9 +966,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for acc_dtype in imap(str, theano.scalar.all_types): + for acc_dtype in map(str, theano.scalar.all_types): axis = axes[idx % len(axes)] # If acc_dtype would force a downcast, we expect a TypeError # We always allow int/uint inputs with float/complex outputs. @@ -1007,7 +1007,7 @@ """ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = ProdWithoutZeros(axis=axis)(tensor.matrix(dtype=dtype)) assert x.dtype == dict( @@ -1025,7 +1025,7 @@ """ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] - for idx, dtype in enumerate(imap(str, theano.scalar.all_types)): + for idx, dtype in enumerate(map(str, theano.scalar.all_types)): axis = axes[idx % len(axes)] x = tensor.matrix(dtype=dtype) p = ProdWithoutZeros(axis=axis)(x) @@ -1054,9 +1054,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for output_dtype in imap(str, theano.scalar.all_types): + for output_dtype in map(str, theano.scalar.all_types): axis = axes[idx % len(axes)] prod_woz_var = ProdWithoutZeros( axis=axis, dtype=output_dtype)(x) @@ -1077,9 +1077,9 @@ # We try multiple axis combinations even though axis should not matter. axes = [None, 0, 1, [], [0], [1], [0, 1]] idx = 0 - for input_dtype in imap(str, theano.scalar.all_types): + for input_dtype in map(str, theano.scalar.all_types): x = tensor.matrix(dtype=input_dtype) - for acc_dtype in imap(str, theano.scalar.all_types): + for acc_dtype in map(str, theano.scalar.all_types): RefactoringTool: Refactored ./theano/tensor/tests/test_complex.py RefactoringTool: No changes to ./theano/tensor/tests/test_casting.py RefactoringTool: Refactored ./theano/tensor/tests/test_blas_scipy.py RefactoringTool: Refactored ./theano/tensor/tests/test_blas_c.py axis = axes[idx % len(axes)] # If acc_dtype would force a downcast, we expect a TypeError # We always allow int/uint inputs with float/complex outputs. @@ -1212,7 +1212,9 @@ def impl(self, n, x): return x * n - def grad(self, (n, x), (gz,)): + def grad(self, xxx_todo_changeme, xxx_todo_changeme1): + (n, x) = xxx_todo_changeme + (gz,) = xxx_todo_changeme1 dy_dx = n return [theano.gradient.grad_not_implemented(self, 0, n), gz * dy_dx] --- ./theano/tensor/tests/test_complex.py (original) +++ ./theano/tensor/tests/test_complex.py (refactored) @@ -10,7 +10,7 @@ def test0(self): x= zvector() rng = numpy.random.RandomState(23) - xval = numpy.asarray(list(numpy.complex(rng.randn(), rng.randn()) for i in xrange(10))) + xval = numpy.asarray(list(numpy.complex(rng.randn(), rng.randn()) for i in range(10))) assert numpy.all( xval.real == theano.function([x], real(x))(xval)) assert numpy.all( xval.imag == theano.function([x], imag(x))(xval)) @@ -67,9 +67,9 @@ aval = numpy.asarray(rng.randn(2,5)) try: utt.verify_grad(f, [aval]) - except utt.verify_grad.E_grad, e: - print e.num_grad.gf - print e.analytic_grad + except utt.verify_grad.E_grad as e: + print(e.num_grad.gf) + print(e.analytic_grad) raise @dec.knownfailureif(True,"Complex grads not enabled, see #178") @@ -83,9 +83,9 @@ aval = numpy.asarray(rng.randn(2,5)) try: utt.verify_grad(f, [aval]) - except utt.verify_grad.E_grad, e: - print e.num_grad.gf - print e.analytic_grad + except utt.verify_grad.E_grad as e: + print(e.num_grad.gf) + print(e.analytic_grad) raise @dec.knownfailureif(True,"Complex grads not enabled, see #178") def test_mul_mixed(self): @@ -99,9 +99,9 @@ bval = rng.randn(5) try: utt.verify_grad(f, [aval, bval]) - except utt.verify_grad.E_grad, e: - print e.num_grad.gf - print e.analytic_grad + except utt.verify_grad.E_grad as e: + print(e.num_grad.gf) + print(e.analytic_grad) raise @dec.knownfailureif(True,"Complex grads not enabled, see #178") --- ./theano/tensor/tests/test_blas_scipy.py (original) +++ ./theano/tensor/tests/test_blas_scipy.py (refactored) @@ -4,7 +4,7 @@ import theano.tensor as tensor from theano.tensor.blas_scipy import ScipyGer -from test_blas import TestCase, gemm_no_inplace, TestBlasStrides +from .test_blas import TestCase, gemm_no_inplace, TestBlasStrides from theano.tests.unittest_tools import TestOptimizationMixin class TestScipyGer(TestCase, TestOptimizationMixin): --- ./theano/tensor/tests/test_blas_c.py (original) +++ ./theano/tensor/tests/test_blas_c.py (refactored) @@ -55,23 +55,23 @@ return tensor.as_tensor_variable(numpy.asarray(bval, dtype=self.dtype)) def test_eq(self): - self.assert_(CGer(True) == CGer(True)) - self.assert_(CGer(False) == CGer(False)) - self.assert_(CGer(False) != CGer(True)) - - self.assert_(CGer(True) != ScipyGer(True)) - self.assert_(CGer(False) != ScipyGer(False)) - self.assert_(CGer(True) != Ger(True)) - self.assert_(CGer(False) != Ger(False)) + self.assertTrue(CGer(True) == CGer(True)) + self.assertTrue(CGer(False) == CGer(False)) + self.assertTrue(CGer(False) != CGer(True)) + + self.assertTrue(CGer(True) != ScipyGer(True)) + self.assertTrue(CGer(False) != ScipyGer(False)) + self.assertTrue(CGer(True) != Ger(True)) + self.assertTrue(CGer(False) != Ger(False)) # assert that eq works for non-CGer instances - self.assert_(CGer(False) is not None) - self.assert_(CGer(True) is not None) + self.assertTrue(CGer(False) is not None) + RefactoringTool: Refactored ./theano/tensor/tests/test_blas.py self.assertTrue(CGer(True) is not None) def test_hash(self): - self.assert_(hash(CGer(True)) == hash(CGer(True))) - self.assert_(hash(CGer(False)) == hash(CGer(False))) - self.assert_(hash(CGer(False)) != hash(CGer(True))) + self.assertTrue(hash(CGer(True)) == hash(CGer(True))) + self.assertTrue(hash(CGer(False)) == hash(CGer(False))) + self.assertTrue(hash(CGer(False)) != hash(CGer(True))) def test_optimization_pipeline(self): f = self.function([self.x, self.y], tensor.outer(self.x, self.y)) --- ./theano/tensor/tests/test_blas.py (original) +++ ./theano/tensor/tests/test_blas.py (refactored) @@ -19,7 +19,7 @@ gemm_inplace, gemm_no_inplace, InconsistencyError, Ger, ger, ger_destructive) from theano.tests import unittest_tools -from test_basic import (_approx_eq, as_tensor_variable, inplace_func, +from .test_basic import (_approx_eq, as_tensor_variable, inplace_func, compile, inplace) #, constant, eval_outputs) import theano.tensor.blas_scipy @@ -72,10 +72,10 @@ b = numpy.asarray(b_, dtype=dtype) def cmp_linker(z, a, x, y, b, l): - z, a, x, y, b = [numpy.asarray(p) for p in z, a, x, y, b] + z, a, x, y, b = [numpy.asarray(p) for p in (z, a, x, y, b)] z_orig = z.copy() tz, ta, tx, ty, tb = [as_tensor_variable(p).type() - for p in z, a, x, y, b] + for p in (z, a, x, y, b)] f = inplace_func([tz, ta, tx, ty, tb], gemm_inplace(tz, ta, tx, ty, tb), @@ -105,7 +105,7 @@ Gemm.debug = True try: g = gemm_inplace([1.], 1., [1.], [1.], 1.) - except TypeError, e: + except TypeError as e: if exc_message(e) is Gemm.E_rank: return self.fail() @@ -113,7 +113,7 @@ def test0(self): try: self.cmp(1., 0., 1.0, 1.0, 1.0) - except TypeError, e: + except TypeError as e: if exc_message(e) is Gemm.E_rank: return self.fail() @@ -121,7 +121,7 @@ def test2(self): try: self.cmp(2., 1.0, [3, 2, 1.], [[1], [2], [3.]], 1.0) - except TypeError, e: + except TypeError as e: self.assertTrue(exc_message(e) == Gemm.E_rank) return self.fail() @@ -213,7 +213,7 @@ Z = as_tensor_variable(self.rand(2, 2)) try: gemm_inplace(Z, 1.0, Z, Z, 1.0) - except InconsistencyError, e: + except InconsistencyError as e: if exc_message(e) == Gemm.E_z_uniq: return self.fail() @@ -224,7 +224,7 @@ A = as_tensor_variable(self.rand(2, 2)) try: gemm_inplace(Z, 1.0, A, inplace.transpose_inplace(Z), 1.0) - except InconsistencyError, e: + except InconsistencyError as e: if exc_message(e) == Gemm.E_z_uniq: return self.fail() @@ -235,7 +235,7 @@ A = as_tensor_variable(self.rand(2, 2)) try: gemm_inplace(Z, 1.0, inplace.transpose_inplace(Z), A, 1.0) - except InconsistencyError, e: + except InconsistencyError as e: if exc_message(e) == Gemm.E_z_uniq: return self.fail() @@ -246,7 +246,7 @@ A = as_tensor_variable(self.rand(2, 2)) try: gemm_inplace(Z, 1.0, Z, A, 1.0) - except InconsistencyError, e: + except InconsistencyError as e: if exc_message(e) == Gemm.E_z_uniq: return self.fail() @@ -269,11 +269,11 @@ def t(z, x, y, a=1.0, b=0.0, l='c|py', dt='float64'): z, a, x, y, b = [theano._asarray(p, dtype=dt) - for p in z, a, x, y, b] + for p in (z, a, x, y, b)] z_orig = z.copy() z_after = self._gemm(z, a, x, y, b) - tz, ta, tx, ty, tb = [shared(p) for p in z, a, x, y, b] + tz, ta, tx, ty, tb = [shared(p) for p in (z, a, x, y, b)] #f = inplace_func([tz,ta,tx,ty,tb], gemm_inplace(tz,ta,tx,ty,tb), # mode = compile.Mode(optimizer = None, linker=l)) @@ -318,7 +318,7 @@ try: t(C.T, A[:2, :], B[:, :2].T) - except ValueError, e: + except ValueError as e: if exc_message(e).find('aligned') >= 0: return self.fail() @@ -332,20 +332,20 @@ def t(z, x, y, a=1.0, b=0.0, l='c|py', dt='float64'): z, a, x, y, b = [theano._asarray(p, dtype=dt) - for p in z, a, x, y, b] + for p in (z, a, x, y, b)] z_orig = z.copy() z_after = numpy.zeros_like(z_orig) - for i in xrange(3): + for i in range(3): z_after[:, :, i] = self._gemm(z[:, :, i], a, x[:, :, i], y[:, :, i], b) - tz, ta, tx, ty, tb = [shared(p) for p in z, a, x, y, b] - for i in xrange(3): + tz, ta, tx, ty, tb = [shared(p) for p in (z, a, x, y, b)] + for i in range(3): f_i = inplace_func([], gemm_inplace(tz[:, :, i], ta, tx[:, :, i], ty[:, :, i], tb), mode=compile.Mode(optimizer=None, linker=l)) - for j in xrange(3): + for j in range(3): # tz will not _always_ be overwritten, # and adding update={...} in the call to function() # will create cycles, so we update by hand. @@ -361,7 +361,7 @@ g_i = theano.function([], tz_i, updates=[(tz, T.set_subtensor(tz[:, :, i], tz_i))], mode=compile.Mode(optimizer=None, linker=l)) - for j in xrange(3): + for j in range(3): g_i() unittest_tools.assert_allclose(z_after[:, :, i], tz.get_value(borrow=True)[:, :, i]) @@ -438,7 +438,7 @@ def fail(msg): - print 'FAIL', msg + print('FAIL', msg) assert False @@ -500,7 +500,7 @@ max_abs_err) except Failure: for node in f.maker.fgraph.toposort(): - print 'GRAPH', node + print('GRAPH', node) raise @@ -575,7 +575,7 @@ max_abs_err) except Failure: for node in f.maker.fgraph.toposort(): - print 'GRAPH', node + print('GRAPH', node) raise @@ -785,7 +785,7 @@ def update_H(cur_V): return T.nnet.sigmoid(T.dot(cur_V, W) + T.dot(G, W.T)) - for i in xrange(num_rounds): + for i in range(num_rounds): cur_V = update_V(cur_H) cur_H = update_H(cur_V) @@ -812,7 +812,7 @@ f = inplace_func([Z, b, R, S], [Z * (Z + b * T.dot(R, S).T)], mode='FAST_RUN') if (gemm_inplace in [n.op for n in f.maker.fgraph.apply_nodes]): - print pp(f.maker.fgraph.outputs[0]) + print(pp(f.maker.fgraph.outputs[0])) raise Failure('gemm_inplace in graph') assert gemm_no_inplace in [n.op for n in f.maker.fgraph.apply_nodes] @@ -1276,10 +1276,10 @@ b_is_vector = False assert a.shape[1] == b.shape[0] c = zeros((a.shape[0], b.shape[1]), common_type(a, b)) - for i in xrange(a.shape[0]): - for j in xrange(b.shape[1]): + for i in range(a.shape[0]): + for j in range(b.shape[1]): s = 0 - for k in xrange(a.shape[1]): + for k in range(a.shape[1]): s += a[i, k] * b[k, j] c[i, j] = s if b_is_vector: @@ -1549,13 +1549,13 @@ self.za = T.zscalar() def test_works_on_all_valid_dtypes(self): - RefactoringTool: Refactored ./theano/tensor/tests/test_basic.py self.assertEquals(self.fm.type, + self.assertEqual(self.fm.type, ger(self.fm, self.fa, self.fv, self.fv_2).type) - self.assertEquals(self.fm.type, + self.assertEqual(self.fm.type, ger(self.fm, self.fa, self.fv, self.fv_2).type) - self.assertEquals(self.fm.type, + self.assertEqual(self.fm.type, ger(self.fm, self.fa, self.fv, self.fv_2).type) - self.assertEquals(self.fm.type, + self.assertEqual(self.fm.type, ger(self.fm, self.fa, self.fv, self.fv_2).type) def test_fails_on_invalid_dtypes(self): @@ -1571,7 +1571,7 @@ self.assertRaises(TypeError, ger, self.fm, self.fv1, self.fv, self.fv_2) # actually doing the aforementioned dimshuffle makes it work - self.assertEquals(self.fm.type, + self.assertEqual(self.fm.type, ger(self.fm, self.fv1.dimshuffle(), self.fv, self.fv_2).type) def test_fails_for_nonmatrix_A(self): --- ./theano/tensor/tests/test_basic.py (original) +++ ./theano/tensor/tests/test_basic.py (refactored) @@ -7,10 +7,11 @@ import unittest import warnings from copy import copy, deepcopy -from itertools import izip +from functools import reduce + # Import builtin min to be able to use it after importing the tensor version. -import __builtin__ -builtin_min = __builtin__.min +import builtins +builtin_min = builtins.min from nose.plugins.skip import SkipTest import numpy @@ -284,7 +285,7 @@ good = self.add_memmap_values(self.good) - for testname, inputs in good.items(): + for testname, inputs in list(good.items()): inputs = [copy(input) for input in inputs] inputrs = [TensorType( dtype=input.dtype, @@ -293,7 +294,7 @@ )() for input in inputs] try: node = safe_make_node(self.op, *inputrs) - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occurred while" " making a node with inputs %s") % ( self.op, testname, inputs) @@ -302,7 +303,7 @@ try: f = inplace_func(inputrs, node.outputs, mode=mode, name='test_good') - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occurred while" " trying to make a Function") % (self.op, testname) exc.args += (err_msg,) @@ -324,7 +325,7 @@ try: variables = f(*inputs) - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occurred while calling" " the Function on the inputs %s") % ( self.op, testname, inputs) @@ -335,7 +336,7 @@ expecteds = (expecteds, ) for i, (variable, expected) in enumerate( - izip(variables, expecteds)): + zip(variables, expecteds)): if (variable.dtype != expected.dtype or variable.shape != expected.shape or not numpy.allclose(variable, expected, @@ -357,7 +358,7 @@ atol=eps, rtol=eps), numpy.allclose(variable, expected))) - for description, check in self.checks.items(): + for description, check in list(self.checks.items()): if not check(inputs, variables): self.fail(("Test %s::%s: Failed check: %s (inputs" " were %s, outputs were %s)") % ( @@ -367,7 +368,7 @@ def test_bad_build(self): if skip: raise SkipTest(skip) - for testname, inputs in self.bad_build.items(): + for testname, inputs in list(self.bad_build.items()): inputs = [copy(input) for input in inputs] inputrs = [shared(input) for input in inputs] self.assertRaises(Exception, @@ -379,11 +380,11 @@ def test_bad_runtime(self): if skip: raise SkipTest(skip) - for testname, inputs in self.bad_runtime.items(): + for testname, inputs in list(self.bad_runtime.items()): inputrs = [shared(input) for input in inputs] try: node = safe_make_node(self.op, *inputrs) - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occurred while trying" " to make a node with inputs %s") % ( self.op, testname, inputs) @@ -392,7 +393,7 @@ try: f = inplace_func([], node.outputs, mode=mode, name="test_bad_runtime") - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occurred while trying" " to make a Function") % (self.op, testname) exc.args += (err_msg,) @@ -411,13 +412,13 @@ backup = config.warn.sum_div_dimshuffle_bug config.warn.sum_div_dimshuffle_bug = False try: - for testname, inputs in self.grad.items(): + for testname, inputs in list(self.grad.items()): inputs = [copy(input) for input in inputs] try: utt.verify_grad(self.op, inputs, mode=self.mode, rel_tol=_grad_rtol) - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occurred while" " computing the gradient on the following" " inputs: %s") % (self.op, testname, inputs) @@ -438,7 +439,7 @@ # This is not actually an Op return - for testname, inputs in self.good.items(): + for testname, inputs in list(self.good.items()): inputs = [copy(input) for input in inputs] inputrs = [TensorType( dtype=input.dtype, @@ -771,7 +772,7 @@ for a in without: if a in rval: del rval[a] - for kw, val in kwargs.items(): + for kw, val in list(kwargs.items()): rval[kw] = val return rval @@ -2285,7 +2286,7 @@ b = numpy.asarray(b) if a.shape != b.shape: if _approx_eq.debug: - print a.shape, b.shape + print(a.shape, b.shape) return False abs_rel_err = numeric_grad.abs_rel_err(a, b) # numpy.max don't like empty ndarray. @@ -2293,7 +2294,7 @@ return True if numpy.max(abs_rel_err) >= eps: if _approx_eq.debug: - print a, b + print(a, b) return False return True _approx_eq.debug = 0 @@ -2366,8 +2367,8 @@ n = len(test_constants) # We verify that signatures of two rows i, j in the matrix above are # equal if and only if i == j. - for i in xrange(n): - for j in xrange(n): + for i in range(n): + for j in range(n): x = constant(test_constants[i]) y = constant(test_constants[j]) assert (x.signature() == y.signature()) == (i == j) @@ -2448,7 +2449,7 @@ try: eval_outputs(max_and_argmax(n, 3)) assert False - except ValueError, e: + except ValueError as e: pass finally: _logger.setLevel(oldlevel) @@ -2461,7 +2462,7 @@ try: eval_outputs(max_and_argmax(n, -3)) assert False - except ValueError, e: + except ValueError as e: pass finally: sys.stderr = old_stderr @@ -2529,7 +2530,7 @@ # Compute pairwise absolute differences. diff = numpy.abs(data_vector.reshape((-1, 1)) - data_vector) # Alter the diagonal to avoid a zero minimum. - for i in xrange(len(diff)): + for i in range(len(diff)): diff[i, i] = 1 # Find an appropriate epsilon. eps = builtin_min(numeric_grad.type_eps[config.floatX], @@ -2557,7 +2558,7 @@ assert numpy.all(max_grad_data == z) for axis in (-1, 0, 1, None): - for j in xrange(2): + for j in range(2): safe_verify_grad(lambda v: max_and_argmax(v, axis=axis)[j], [data]) if axis != 1: @@ -2641,7 +2642,7 @@ try: eval_outputs(fct(n, 3)) assert False - except ValueError, e: + except ValueError as e: pass finally: _logger.setLevel(oldlevel) @@ -2655,7 +2656,7 @@ try: eval_outputs(fct(n, -3)) assert False - except ValueError, e: + except ValueError as e: pass finally: sys.stderr = old_stderr @@ -2774,7 +2775,7 @@ try: eval_outputs(fct(n, 3)) assert False - except ValueError, e: + except ValueError as e: pass finally: _logger.setLevel(oldlevel) @@ -2788,7 +2789,7 @@ try: eval_outputs(fct(n, -3)) assert False - except ValueError, e: + except ValueError as e: pass finally: sys.stderr = old_stderr @@ -3779,7 +3780,7 @@ x = numpy.asarray(x, dtype=config.floatX) w = numpy.asarray(w, dtype=config.floatX) - for i in xrange(100): + for i in range(100): ssd, gw = fn(x, w) #print ssd, x*w, x, w if i == 0: @@ -3802,7 +3803,7 @@ myssd0 = numpy.sum((x * w - ones) ** 2.0) # we want at least a test that is not too fast. So we make one here. - for i in xrange(100): + for i in range(100): gw = 2 * (x * w - ones) * x # derivative of dMSE/dw myssd = numpy.sum((x * w - ones) ** 2) w -= 0.4 * gw @@ -3959,7 +3960,7 @@ try: tz = eval_outputs([z]) assert False # should have raised exception - except ValueError, e: + except ValueError as e: e0 = exc_message(e) self.assertTrue( # Reported by numpy. @@ -4376,8 +4377,8 @@ def test_reshape_long_in_shape(self): v = dvector('v') - r = v.reshape((v.shape[0], 1L)) - print r.eval({v: numpy.arange(5.)}) + r = v.reshape((v.shape[0], 1)) + print(r.eval({v: numpy.arange(5.)})) assert numpy.allclose(r.eval({v: numpy.arange(5.)}).T, numpy.arange(5.)) @@ -5398,8 +5399,8 @@ def ok(z): assert tensor.constant(z).dtype == numpy.asarray(z).dtype - for x in ([2 ** i for i in xrange(63)] + - [0, 0L, 1L, 2L ** 63 - 1] + + for x in ([2 ** i for i in range(63)] + + [0, 0, 1, 2 ** 63 - 1] + [0., 1., 1.1, 1.5]): n_x = numpy.asarray(x) # Make sure the data type is the same as the one found by numpy. @@ -5431,8 +5432,8 @@ # We only consider 'int' and 'long' Python values that can fit # into int64, as that is the maximal integer type that Theano # supports, and that is the maximal type in Python indexing. - for x iRefactoringTool: No changes to ./theano/tensor/tests/mlp_test.py RefactoringTool: No changes to ./theano/tensor/tests/_test_mpi_roundtrip.py RefactoringTool: Refactored ./theano/tensor/subtensor.py n ([2 ** i - 1 for i in xrange(64)] + - [0, 0L, 1L, 2L ** 63 - 1] + + for x in ([2 ** i - 1 for i in range(64)] + + [0, 0, 1, 2 ** 63 - 1] + [0., 1., 1.1, 1.5]): ok(x, floatX) ok(-x, floatX) @@ -5496,10 +5497,10 @@ ('i_scalar', 'i_scalar'), ): - theano_args = map(eval, - ['theano_%s' % c for c in combo]) - numpy_args = map(eval, - ['numpy_%s' % c for c in combo]) + theano_args = list(map(eval, + ['theano_%s' % c for c in combo])) + numpy_args = list(map(eval, + ['numpy_%s' % c for c in combo])) try: theano_dtype = op( theano_args[0](a_type), @@ -5524,7 +5525,7 @@ op(numpy_args[1](b_type), numpy_args[0](a_type)).dtype] numpy_dtype = theano.scalar.upcast( - *map(str, numpy_dtypes)) + *list(map(str, numpy_dtypes))) if numpy_dtype == theano_dtype: # Same data type found, all is good! continue @@ -5598,8 +5599,8 @@ class T_long_tensor(unittest.TestCase): def test_fit_int64(self): - for exp in xrange(64): - val = 2L ** exp - 1 + for exp in range(64): + val = 2 ** exp - 1 scalar_ct = constant(val) assert scalar_ct.dtype.startswith('int') assert scalar_ct.value == val @@ -5613,7 +5614,7 @@ assert numpy.all(matrix_ct.value == val) def test_too_big(self): - val = 2L ** 63 + val = 2 ** 63 #NumPy 1.7 this will raise an exception #NumPy 1.7.1 this will work try: @@ -5640,7 +5641,7 @@ except TypeError: pass - val = 2L ** 64 + val = 2 ** 64 # This fail for all NumPy version. self.assertRaises(Exception, constant, val) self.assertRaises(Exception, constant, [val, val]) @@ -5812,7 +5813,7 @@ assert not b.flags.aligned assert numpy.allclose(out_numpy, out_theano) assert False - except TypeError, e: + except TypeError as e: pass a = numpy.empty((), dtype=dtype)['f1'] @@ -5830,7 +5831,7 @@ assert not b.flags.aligned assert numpy.allclose(out_numpy, out_theano) assert False - except TypeError, e: + except TypeError as e: pass @@ -5841,7 +5842,7 @@ try: y = tensor.DimShuffle((False, ), (0, 0))(x) - except ValueError, e: + except ValueError as e: assert str(e).find("may not appear twice") != -1 success = True @@ -6056,7 +6057,7 @@ assert tensor.transpose(tensor.dmatrix()).name is None def test_stacklists(): - a,b,c,d = map(scalar, 'abcd') + a,b,c,d = list(map(scalar, 'abcd')) X = stacklists([[a, b], [c, d]]) f = function([a, b, c, d], X) --- ./theano/tensor/subtensor.py (original) +++ ./theano/tensor/subtensor.py (refactored) @@ -1,5 +1,5 @@ from copy import copy -from itertools import izip + import sys from textwrap import dedent import warnings @@ -355,7 +355,7 @@ # be bigger than what a Python int can hold. # Shapes should always fit in a numpy.int64, and we support them better # 2) In Python3, long replaced int. So we must assert it fit in int64. - elif isinstance(entry, (int, long)): + elif isinstance(entry, int): entry64 =RefactoringTool: No changes to ./theano/tensor/sort.py RefactoringTool: No changes to ./theano/tensor/signal/tests/test_downsample.py RefactoringTool: No changes to ./theano/tensor/signal/tests/test_conv.py RefactoringTool: Refactored ./theano/tensor/signal/downsample.py numpy.int64(entry) return entry64 else: @@ -393,7 +393,7 @@ # infer the broadcasting pattern padded = (idx_list + [slice(None, None, None)] * (x.type.ndim - len(idx_list))) - broadcastable = [bc for p, bc in izip(padded, x.type.broadcastable) + broadcastable = [bc for p, bc in zip(padded, x.type.broadcastable) if isinstance(p, slice)] input_types = Subtensor.collapse(idx_list, @@ -402,7 +402,7 @@ raise IndexError( "Not enough inputs to fill in the Subtensor template.", inputs, idx_list) - for input, expected_type in izip(inputs, input_types): + for input, expected_type in zip(inputs, input_types): if input.type != expected_type: raise TypeError( "Wrong type for Subtensor template. Expected %s, got %s." @@ -440,7 +440,7 @@ padded = (actual_idx_list + [slice(None, None, None)] * (len(xshp) - len(self.idx_list))) i = 0 - for idx, xl in izip(padded, xshp): + for idx, xl in zip(padded, xshp): if isinstance(idx, slice): # If it is the default (None, None, None) slice, or a variant, # the shape will be xl @@ -1019,7 +1019,7 @@ destroyhandler_tolerate_aliased=None): if destroyhandler_tolerate_aliased is None: destroyhandler_tolerate_aliased = [] - self.idx_list = map(Subtensor.convert, idx_list) + self.idx_list = list(map(Subtensor.convert, idx_list)) self.inplace = inplace if inplace: self.destroy_map = {0: [0]} @@ -1076,7 +1076,7 @@ y: the value to increment by inputs: TODO WRITEME """ - x, y = map(theano.tensor.as_tensor_variable, [x, y]) + x, y = list(map(theano.tensor.as_tensor_variable, [x, y])) if y.ndim > x.ndim: raise ValueError(("Trying to increment a %d-dimensional " "subtensor with a %d-dimensional value.") % (x.ndim, @@ -1098,7 +1098,7 @@ raise IndexError( "Not enough inputs to fill in the Subtensor template.", inputs, idx_list) - for input, expected_type in izip(inputs, input_types): + for input, expected_type in zip(inputs, input_types): if input.type != expected_type: raise TypeError( "Wrong type for Subtensor template. Expected %s, got %s." @@ -1984,7 +1984,7 @@ if axis < 0: axis += a.ndim assert axis >= 0 - shuffle = range(a.ndim) + shuffle = list(range(a.ndim)) shuffle[0] = axis shuffle[axis] = 0 return advanced_subtensor1( --- ./theano/tensor/signal/downsample.py (original) +++ ./theano/tensor/signal/downsample.py (refactored) @@ -5,7 +5,7 @@ """ #This file should move along with conv.py -import __builtin__ +import builtins import numpy @@ -15,7 +15,7 @@ def max_pool2D(*args, **kwargs): import sys - print >> sys.stderr, "DEPRECATION: max_pool2D renamed to max_pool_2d" + print("DEPRECATION: max_pool2D renamed to max_pool_2d", file=sys.stderr) return max_pool_2d(*args, **kwargs) @@ -160,13 +160,13 @@ x_usable3 = (x.shape[3] // ds1 * ds1) else: x_usable3 = x.shape[3] - for n in xrange(x.shape[0]): - for k in xrange(x.shape[1]): - for i in xrange(x_usable2): + for n in range(x.shape[0]): + for k in range(x.shape[1]): + for i in range(x_usable2): zi = i / ds0 - for j in xrange(x_usable3): + for j in range(x_usable3): zj = j / ds1 - zz[n, k, zi, zj] = __builtin__.max(zz[n, k, zi, zj], + zz[n, k, zi, zj] = builtins.max(zz[n, k, zi, zj], RefactoringTool: No changes to ./theano/tensor/signal/conv.py RefactoringTool: No changes to ./theano/tensor/sharedvar.py RefactoringTool: No changes to ./theano/tensor/shared_randomstreams.py RefactoringTool: Refactored ./theano/tensor/raw_random.py x[n, k, i, j]) def infer_shape(self, node, in_shapes): @@ -296,11 +296,11 @@ shape3 = (x.shape[3] // ds1 * ds1) if not self.ignore_border: shape3 = x.shape[3] - for n in xrange(x.shape[0]): - for k in xrange(x.shape[1]): - for i in xrange(shape2): + for n in range(x.shape[0]): + for k in range(x.shape[1]): + for i in range(shape2): zi = i / ds0 - for j in xrange(shape3): + for j in range(shape3): zj = j / ds1 if (maxout[n,k,zi,zj] == x[n,k,i,j]): gx[n,k,i,j] = gz[n,k,zi,zj] --- ./theano/tensor/raw_random.py (original) +++ ./theano/tensor/raw_random.py (refactored) @@ -11,6 +11,7 @@ from theano.tensor import opt from theano import gof from theano.compile import optdb +from functools import reduce class RandomStateType(gof.Type): @@ -137,7 +138,7 @@ def __setstate__(self, state): self.state = state fn, outtype, inplace, ndim_added = state - if isinstance(fn, basestring): + if isinstance(fn, str): self.fn = getattr(numpy.random.RandomState, fn) else: self.fn = fn @@ -182,7 +183,7 @@ assert shape.type.ndim == 1 assert (shape.type.dtype == 'int64') or (shape.type.dtype == 'int32') if not isinstance(r.type, RandomStateType): - print >> sys.stderr, 'WARNING: RandomState instances should be in RandomStateType' + print('WARNING: RandomState instances should be in RandomStateType', file=sys.stderr) if 0: raise TypeError('r must be RandomStateType instance', r) # the following doesn't work because we want to ignore the @@ -191,7 +192,7 @@ # convert args to TensorType instances # and append enough None's to match the length of self.args - args = map(tensor.as_tensor_variable, args) + args = list(map(tensor.as_tensor_variable, args)) return gof.Apply(self, [r, shape] + args, @@ -212,7 +213,7 @@ #Use the default infer_shape implementation. raise tensor.ShapeError() - return [None, [sample_shp[i] for i in xrange(node.outputs[1].ndim)]] + return [None, [sample_shp[i] for i in range(node.outputs[1].ndim)]] def perform(self, node, inputs, out_): rout, out = out_ @@ -402,11 +403,11 @@ # Will contain the return value: a list of indices for each argument ret_indices = [[()] for shape in all_shapes] - for dim in xrange(len(out_shape)): + for dim in range(len(out_shape)): # Temporary list to generate the indices _ret_indices = [[] for shape in all_shapes] - out_range = range(out_shape[dim]) + out_range = list(range(out_shape[dim])) # Verify the shapes are compatible along that dimension # and generate the appropriate range: out_range, or [0, ..., 0] @@ -425,7 +426,7 @@ for prev_index in zip(*ret_indices): for dim_index in zip(*ranges): - for i in xrange(len(all_shapes)): + for i in range(len(all_shapes)): _ret_indices[i].append(prev_index[i] + (dim_index[i],)) ret_indices = _ret_indices @@ -493,7 +494,7 @@ """ if prob is not None: p = prob - print >> sys.stderr, "DEPRECATION WARNING: the parameter prob to the binomal fct have been renamed to p to have the same name as numpy." + print("DEPRECATION WARNING: the parameter prob to the binomal fct have been renamed to p to have the same name as numpy.", file=sys.stderr) n = tensor.as_tensor_variable(n) p = tensor.as_tensor_variable(p) ndim, size, bcast = _infer_ndim_bcast(ndim, size, n, p) @@ -541,7 +542,7 @@ out_size = tuple(size) else: out_size = () - for dim in xrange(out_ndim): + for dim in raRefactoringTool: No changes to ./theano/tensor/randomstreams.py RefactoringTool: No changes to ./theano/tensor/opt_uncanonicalize.py RefactoringTool: Refactored ./theano/tensor/opt.py nge(out_ndim): dim_len = max(low.shape[dim], high.shape[dim]) out_size = out_size + (dim_len,) @@ -713,7 +714,7 @@ size = tuple(size) else: size = () - for dim in xrange(ndim): + for dim in range(ndim): dim_len = max(n.shape[dim], pvals.shape[dim]) size = size + (dim_len,) out_size = size + (pvals.shape[-1],) @@ -844,7 +845,7 @@ """ if prob is not None: p = prob - print >> sys.stderr, "DEPRECATION WARNING: the parameter prob to the binomal fct have been renamed to p to have the same name as numpy." + print("DEPRECATION WARNING: the parameter prob to the binomal fct have been renamed to p to have the same name as numpy.", file=sys.stderr) return self.gen(binomial, size, n, p, ndim=ndim, dtype=dtype) def uniform(self, size=None, low=0.0, high=1.0, ndim=None, dtype=None): --- ./theano/tensor/opt.py (original) +++ ./theano/tensor/opt.py (refactored) @@ -5,13 +5,14 @@ # TODO: 0*x -> 0 import logging +from functools import reduce _logger = logging.getLogger('theano.tensor.opt') import operator import itertools import sys import traceback -from itertools import izip + import numpy import numpy as N # guys... please don't do this in the library :( @@ -148,7 +149,7 @@ rval = T.alloc(T.cast(value, dtype), *new_shape) # the template may have 1s in its shape without being broadcastable if rval.broadcastable != template.broadcastable: - rval = T.unbroadcast(rval, *[i for i in xrange(rval.ndim) + rval = T.unbroadcast(rval, *[i for i in range(rval.ndim) if rval.broadcastable[i] and not template.broadcastable[i]]) assert rval.type.dtype == dtype @@ -227,14 +228,14 @@ isinstance(f, theano.compile.function_module.Supervisor)] protected_inputs = sum(protected_inputs, []) # flatten the list protected_inputs.extend(fgraph.outputs) - candidate_outputs = [i for i in xrange(len(node.outputs)) + candidate_outputs = [i for i in range(len(node.outputs)) if i not in baseline] # node inputs that are Constant, already destroyed, # fgraph protected inputs and fgraph outputs can't be used as inplace # target. # Remove here as faster. - candidate_inputs = [i for i in xrange(len(node.inputs)) - if i not in baseline.values() \ + candidate_inputs = [i for i in range(len(node.inputs)) + if i not in list(baseline.values()) \ and not isinstance(node.inputs[i], Constant)\ and not fgraph.destroyers(node.inputs[i])\ @@ -258,12 +259,12 @@ new_scal = op.scalar_op.make_new_inplace( scalar.transfer_type( *[inplace_pattern.get(i, None) \ - for i in xrange(len(node.outputs))])) + for i in range(len(node.outputs))])) else: new_scal = op.scalar_op.__class__( scalar.transfer_type( *[inplace_pattern.get(i, None) \ - for i in xrange(len(node.outputs))])) + for i in range(len(node.outputs))])) new_outputs = OP(new_scal, inplace_pattern)( *node.inputs, **dict(return_list=True)) new_node = new_outputs[0].owner @@ -276,12 +277,12 @@ fgraph.validate() chk = fgraph.checkpoint() nb_change_no_validate = 0 - except (ValueError, TypeError, InconsistencyError), e: + except (ValueError, TypeError, InconsistencyError) as e: if check_each_change != 1 and not raised_warning: - print >> sys.stderr, ( + print(( "Some inplace optimization was not " - "performed due to unexpected error:") - print >> sys.stderr, e + "performed due to unexpected error:"), file=sys.stderr) + print(e, file=sys.stderr) raised_warning = True fgraph.revert(chk) continue @@ -295,8 +296,8 @@ fgraph.validate() except Exception: if not raised_warning: - print >> sys.stderr, ("Some inplace optimization was not " - "performed due to unexpected error") + print(("Some inplace optimization was not " + "performed due to unexpected error"), file=sys.stderr) fgraph.revert(chk) return inplace_elemwise_optimizer @@ -421,7 +422,7 @@ op.new_order] inplace = op.inplace and inode.op.inplace iinput = inode.inputs[0] - if new_order == range(len(new_order)) and (len(new_order) == + if new_order == list(range(len(new_order))) and (len(new_order) == iinput.type.ndim): return [iinput] else: @@ -532,7 +533,7 @@ return hash(type(self)) ^ hash(self.dtype) def make_node(self, *inputs): - inputs = map(T.as_tensor_variable, inputs) + inputs = list(map(T.as_tensor_variable, inputs)) if not all(a.type == inputs[0].type for a in inputs) or ( len(inputs) > 0 and inputs[0].dtype != self.dtype): dtype = theano.scalar.upcast(self.dtype, @@ -735,7 +736,7 @@ def shape_tuple(self, r): """Return a tuple of symbolic shape vars for tensor variable r""" - return tuple([self.shape_ir(i, r) for i in xrange(r.ndim)]) + return tuple([self.shape_ir(i, r) for i in range(r.ndim)]) def default_infer_shape(self, node, i_shapes): """Return a list of shape tuple or None for the outputs of node. @@ -763,7 +764,7 @@ # don't make the optimizer merge a zillion ones together # by always returning the same object to represent 1 return self.lscalar_one - if type(s_i) in (int, long) or isinstance(s_i, numpy.integer): + if type(s_i) in (int, int) or isinstance(s_i, numpy.integer): # this shape is a constant assert s_i >= 0 return T.constant(s_i, dtype='int64') @@ -980,14 +981,14 @@ except ShapeError: o_shapes = self.default_infer_shape(node, [self.shape_of[r] for r in node.inputs]) - except NotImplementedError, e: + except NotImplementedError as e: raise NotImplementedError( 'Code called by infer_shape failed raising a ' 'NotImplementedError. Raising NotImplementedError to ' 'indicate that a shape cannot be computed is no longer ' 'supported, and one should now use tensor.ShapeError ' 'instead. The original exception message is: %s' % e) - except Exception, e: + except Exception as e: msg = ('Failed to infer_shape from Op %s.\nInput shapes: ' '%s\nException encountered during infer_shape: ' '%s\nException message: %s\nTraceback: %s') % ( @@ -1037,7 +1038,7 @@ new_shape += sh[len(new_shape):] o_shapes[sh_idx] = tuple(new_shape) - for r, s in izip(node.outputs, o_shapes): + for r, s in zip(node.outputs, o_shapes): self.set_shape(r, s) def on_change_input(self, fgraph, node, i, r, new_r, reason): @@ -1088,7 +1089,7 @@ self.scheduled[shpnode] = new_r # In case 2, if r is a variable that we've scheduled for shape update, # then we should cancel it. - unscheduled = [k for k, v in self.scheduled.items() if v == r] + unscheduled = [k for k, v in list(self.scheduled.items()) if v == r] for k in unscheduled: del self.scheduled[k] @@ -1371,7 +1372,7 @@ out = onames[0] check = [] fail = sub['fail'] - for idx in xrange(len(inames) - 1): + for idx in range(len(inames) - 1): i = inames[idx + 1] dtype = node.inputs[idx + 1].dtype check.append('if(!((npy_%(dtype)s*)PyArray_DATA(%(i)s))[0])' @@ -1485,7 +1486,7 @@ if theano.config.experimental.local_alloc_elemwise_assert: assert_op = assert_(assert_op, *[T.eq(i.shape[idx], cmp_op.shape[idx])\ - for idx in xrange(i.type.ndim) \ + for idx in range(i.type.ndim) \ if not i.type.broadcastable[idx]]) new.append(i.owner.inputs[0]) elif i.owner and isinstance(i.owner.op, T.DimShuffle) \ @@ -1495,7 +1496,7 @@ if theano.config.experimental.local_alloc_elemwise_assert: assert_op = assert_(assert_op, *[T.eq(i.shape[idx], cmp_op.shape[idx]) - for idx in xrange(i.type.ndim) + for idx in range(i.type.ndim) if not i.type.broadcastable[idx]]) new.append(i.owner.inputs[0].owner.inputs[0]) else: @@ -1572,7 +1573,7 @@ return new_inputs.append(T.alloc(T.cast(cval_i, output_dtype), - *[shape_i(d)(i) for d in xrange(i.ndim)])) + *[shape_i(d)(i) for d in range(i.ndim)])) #print >> sys.stderr, "AAA", #*[Shape_i(d)(i) for d in xrange(i.ndim)] except NotScalarConstantError: @@ -1585,17 +1586,17 @@ if new_inputs != node.inputs: rval = [node.op(*new_inputs)] if rval[0].type != node.outputs[0].type: - print >> sys.stderr, "NODE:", node - print >> sys.stderr, "NODE INPUT TYPES:", [i.type for i - in node.inputs] - print >> sys.stderr, "NODE OUTPUT TYPES:", [ - o.type for o in node.outputs] - print >> sys.stderr, "RVAL:", rval - print >> sys.stderr, "NEW INPUT TYPES:", [i.type for i - in new_inputs] - print >> sys.stderr, "RVAL INPUT TYPES:", [ - i.type for i in rval[0].owner.inputs] - print >> sys.stderr, "RVAL TYPES:", [o.type for o in rval] + print("NODE:", node, file=sys.stderr) + print("NODE INPUT TYPES:", [i.type for i + in node.inputs], file=sys.stderr) + print("NODE OUTPUT TYPES:", [ + o.type for o in node.outputs], file=sys.stderr) + print("RVAL:", rval, file=sys.stderr) + print("NEW INPUT TYPES:", [i.type for i + in new_inputs], file=sys.stderr) + print("RVAL INPUT TYPES:", [ + i.type for i in rval[0].owner.inputs], file=sys.stderr) + print("RVAL TYPES:", [o.type for o in rval], file=sys.stderr) assert rval[0].type == node.outputs[0].type, (node, rval[0]) return rval @@ -1747,7 +1748,7 @@ j += 1 # now keep the broadcastable pattern of all # items not appearing in subtensor list - for i in xrange(len(node.op.idx_list), len(u.broadcastable)): + for i in range(len(node.op.idx_list), len(u.broadcastable)): new_axis += [(j, u.broadcastable[i])] j += 1 @@ -2189,14 +2190,14 @@ else: # Keep the flags that modify something new_axis = {} - for dim, bc in node.op.axis.items(): + for dim, bc in list(node.op.axis.items()): if x.broadcastable[dim] != bc: new_axis[dim] = bc if new_axis == node.op.axis: # All flags are useful return else: - return [T.Rebroadcast(*new_axis.items())(x)] + return [T.Rebroadcast(*list(new_axis.items()))(x)] @register_canonicalize @@ -2222,7 +2223,7 @@ # by the `unbroadcast` function before we are in the actual function # compilation phase. if hasattr(input, 'clients') and len(input.clients) == 1: - rval = inode.op.make_node(T.Rebroadcast(*op.axis.items())( + rval = inode.op.make_node(T.Rebroadcast(*list(op.axis.items()))( inode.inputs[0])).outputs return rval if inode and isinstance(inode.op, T.Rebroadcast): @@ -2231,7 +2232,7 @@ axis = inode.op.axis.copy() axis.update(op.axis) iinput = inode.inputs[0] - rval = [T.Rebroadcast(*axis.items())(iinput)] + rval = [T.Rebroadcast(*list(axis.items()))(iinput)] return rval @@ -2311,7 +2312,7 @@ if out.type.broadcastable != node.outputs[0].type.broadcastable: # We need to copy data to the new dimensions during execution out = T.alloc(out, *[node.outputs[0].shape[i] for i - in xrange(out.ndim)]) + in range(out.ndim)]) return [out] return False @@ -2510,10 +2511,10 @@ def tmp(thing): try: return T.get_scalar_constant_value(thing) - except (TypeError, ValueError), e: - print e, thing.owner.inputs[0] + except (TypeError, ValueError) as e: + print(e, thing.owner.inputs[0]) return None - print 'LOCAL SUM EMPTY', [tmp(s) for s in y_shape] + print('LOCAL SUM EMPTY', [tmp(s) for s in y_shape]) ################## # Middleman cuts # @@ -2768,8 +2769,8 @@ # then num is concat(numx, numy) and denum is # concat(denumx, denumy) note that main() can have any # number of arguments >= 0 concat is list concatenation - num = reduce(list.__iadd__, map(operator.itemgetter(0), pairs)) - denum = reduce(list.__iadd__, map(operator.itemgetter(1), pairs)) + num = reduce(list.__iadd__, list(map(operator.itemgetter(0), pairs))) + denum = reduce(list.__iadd__, list(map(operator.itemgetter(1), pairs))) elif parent.op == self.inverse: # If we have inverse(x, y), numx, denumx, numy and denumy # then num is concat(numx, denumy) and denum is @@ -3115,7 +3116,7 @@ if isinstance(node.op, T.Sum): axis = node.op.axis if axis is None: - axis = range(node.inputs[0].ndim) + axis = list(range(node.inputs[0].ndim)) #print 'axis =', axis thing_summed = node.inputs[0] if thing_summed.owner and thing_summed.owner.op == T.true_div: @@ -3242,13 +3243,13 @@ # The old bugged logic. We keep it there to generate a RefactoringTool: Refactored ./theano/tensor/nnet/tests/test_sigm.py warning # when we generated bad code. - alldims = range(summed.owner.inputs[0].type.ndim) + alldims = list(range(summed.owner.inputs[0].type.ndim)) alldims = [d for i, d in enumerate(alldims) if i in summed.owner.op.axis] alldims = [d for i, d in enumerate(alldims) if i in node.op.axis] newaxis_old = [i for i in - xrange(summed.owner.inputs[0].type.ndim) + range(summed.owner.inputs[0].type.ndim) if i not in alldims] if (theano.config.warn.sum_sum_bug and @@ -3349,12 +3350,12 @@ val = get_scalar_constant_value(input) assert val.size == 1 val = val.reshape(1)[0] - to_prod = [shapes[i] for i in xrange(len(shapes)) + to_prod = [shapes[i] for i in range(len(shapes)) if i in node.op.axis] if to_prod: val *= T.mul(*to_prod) return [T.alloc(T.cast(val, dtype=node.outputs[0].dtype), - *[shapes[i] for i in xrange(len(shapes)) + *[shapes[i] for i in range(len(shapes)) if i not in node.op.axis])] except NotScalarConstantError: pass @@ -3556,7 +3557,7 @@ pow2 = [xsym] pow2_scal = [theano.scalar.Scalar(xsym.dtype)()] y_to_do = abs(y) - for i in xrange(int(numpy.log2(y_to_do))): + for i in range(int(numpy.log2(y_to_do))): pow2.append(T.sqr(pow2[i])) pow2_scal.append(theano.scalar.sqr(pow2_scal[i])) rval1 = None @@ -3884,8 +3885,8 @@ pos, neg = local_add_canonizer.get_num_denum(factor) if len(pos) == 1 and not neg: return False, factor, num, denum - pos_pairs = map(local_mul_canonizer.get_num_denum, pos) - neg_pairs = map(local_mul_canonizer.get_num_denum, neg) + pos_pairs = list(map(local_mul_canonizer.get_num_denum, pos)) + neg_pairs = list(map(local_mul_canonizer.get_num_denum, neg)) change = False for n in list(num): success, pos_pairs, neg_pairs = distribute_greedy(pos_pairs, @@ -4258,7 +4259,7 @@ mul_inputs = check_input(mul_neg.owner.inputs) # Put the constant first. - for i in xrange(len(mul_inputs)): + for i in range(len(mul_inputs)): if isinstance(i, Constant): if i == 0: break @@ -4753,7 +4754,7 @@ assert len(new_outputs) == len(node.outputs) try: fgraph.replace_all_validate( - zip(node.outputs, new_outputs), + list(zip(node.outputs, new_outputs)), reason=self.__class__.__name__) did_something = True except InconsistencyError: --- ./theano/tensor/nnet/tests/test_sigm.py (original) +++ ./theano/tensor/nnet/tests/test_sigm.py (refactored) @@ -1,5 +1,5 @@ import unittest -from itertools import imap + import numpy @@ -258,11 +258,11 @@ compute_mul(trees[0]), compute_mul(trees[1])) if not good: - print trees[0] - print trees[1] - print '***' + print(trees[0]) + print(trees[1]) + print('***') theano.printing.debugprint(compute_mul(trees[0])) - print '***' + print('***') theano.printing.debugprint(compute_mul(trees[1])) assert good ok(sigmoid(x) * exp(-x), sigmoid(-x)) @@ -440,7 +440,7 @@ exp =RefactoringTool: Refactored ./theano/tensor/nnet/tests/test_nnet.py RefactoringTool: Refactored ./theano/tensor/nnet/tests/test_conv3d2d.py RefactoringTool: Refactored ./theano/tensor/nnet/tests/test_conv3d.py tensor.exp assert is_1pexp(1 + exp(x)) == (False, x) assert is_1pexp(exp(x) + 1) == (False, x) - for neg, exp_arg in imap(is_1pexp, [(1 + exp(-x)), (exp(-x) + 1)]): + for neg, exp_arg in map(is_1pexp, [(1 + exp(-x)), (exp(-x) + 1)]): assert not neg and theano.gof.graph.is_same_graph(exp_arg, -x) assert is_1pexp(1 - exp(x)) is None assert is_1pexp(2 + exp(x)) is None --- ./theano/tensor/nnet/tests/test_nnet.py (original) +++ ./theano/tensor/nnet/tests/test_nnet.py (refactored) @@ -1214,11 +1214,11 @@ tensor.grad(c.sum(), x)], mode='FAST_RUN') if 0: for i, n in enumerate(f.maker.fgraph.toposort()): - print i, n + print(i, n) xval = numpy.zeros((5, 5), dtype=dtype).astype(dtype) x2val = numpy.zeros(5, dtype=xval.dtype).astype(dtype) - for i in xrange(100): + for i in range(100): cval, gxval = f(xval, numpy.arange(5), x2val) xval -= 100.3 * gxval #print cval, gxval @@ -1228,7 +1228,7 @@ xval = numpy.zeros((5, 5), dtype=dtype) x2val = numpy.zeros(5, dtype=xval.dtype) - for i in xrange(100): + for i in range(100): cval, gxval = f(xval, numpy.arange(5), x2val) xval += 100000.3 * gxval --- ./theano/tensor/nnet/tests/test_conv3d2d.py (original) +++ ./theano/tensor/nnet/tests/test_conv3d2d.py (refactored) @@ -59,9 +59,9 @@ Wf2 = Wf//2 rval = numpy.zeros((Ns, Ts-Tf+1, Nf, Hs-Hf+1, Ws-Wf+1)) - for ns in xrange(Ns): - for nf in xrange(Nf): - for c in xrange(C): + for ns in range(Ns): + for nf in range(Nf): + for c in range(C): s_i = signals[ns,:,c,:,:] f_i = filters[nf,:,c,:,:] r_i = rval[ns, :, nf, :, :] @@ -83,7 +83,7 @@ t0 = time.time() pyres = pyconv3d(signals, filters) - print time.time() - t0 + print(time.time() - t0) s_signals = shared(signals) s_filters = shared(filters) @@ -99,7 +99,7 @@ t0 = time.time() newconv3d() - print time.time() - t0 + print(time.time() - t0) utt.assert_allclose(pyres, s_output.get_value(borrow=True)) gsignals, gfilters = theano.grad(out.sum(), [s_signals, s_filters]) gnewconv3d = theano.function([], [], @@ -110,7 +110,7 @@ t0 = time.time() gnewconv3d() - print 'grad', time.time() - t0 + print('grad', time.time() - t0) Ns, Ts, C, Hs, Ws = 3, 3, 3, 5, 5 Nf, Tf, C, Hf, Wf = 4, 2, 3, 2, 2 --- ./theano/tensor/nnet/tests/test_conv3d.py (original) +++ ./theano/tensor/nnet/tests/test_conv3d.py (refactored) @@ -266,11 +266,11 @@ W_mat = N.zeros((n, numFilters)) V_mat = N.zeros((batchSize, n)) Hv_mat = N.zeros((batchSize, numFilters)) - for qi in xrange(0, numFilters): + for qi in range(0, numFilters): W_mat[:, qi] = \ self.W.get_value(borrow=True)[qi, :, :, :, :].reshape((n)) Hv_mat[:, qi] = Hv[:, 0, 0, 0, qi] - for qi in xrange(0, batchSize): + for qi in range(0, batchSize): V_mat[qi, :] = \ self.V.get_value(borrow=True)[qi, :, :, :, :].reshape((n)) @@ -281,12 +281,12 @@ tol = 1e-4 if N.abs(H_mat - Hv_mat).max() > tol and not N.allclose(H_mat, Hv_mat): - print H_mat - print Hv_mat - print 'max error: ' + str(N.abs(H_mat - Hv_mat).max()) + print(H_mat) + print(Hv_mat) + print('max error: ' + str(N.abs(H_mat - Hv_mat).max())) W.get_value(borrow=True)[W.get_value(borrow=True) != 0] += 1.0 - print 'min non-zero kernel mag: ' + \ - str(N.abs(W.get_value(borrow=True)).min()) + print('min non-zero kernel mag: ' + \ + str(N.abs(W.get_value(borrow=True)).min())) assert False def test_c_against_mat_transp_mul(self): @@ -332,31 +332,31 @@ n = inputChannels * videoHeight * videoWidth * videoDur rbim = N.zeros((videoHeight, videoWidth, videoDur, inputChannels)) - for qi in xrange(0, inputChannels): + for qi in range(0, inputChannels): rbim[:, :, :, qi] = self.rb.get_value(borrow=True)[qi] rbv = rbim.reshape((n)) W_mat = N.zeros((numFilters, n)) Vv_mat = N.zeros((n, batchSize)) Hv_mat = N.zeros((numFilters, batchSize)) - for qi in xrange(0, numFilters): + for qi in range(0, numFilters): W_mat[qi, :] = \ self.W.get_value(borrow=True)[qi, :, :, :, :].reshape((n)) Hv_mat[qi, :] = Hv[:, 0, 0, 0, qi] - for qi in xrange(0, batchSize): + for qi in range(0, batchSize): Vv_mat[:, qi] = Vv[qi, :, :, :, :].reshape((n)) V_mat = (N.dot(W_mat.transpose(), Hv_mat).transpose() + \ rbv).transpose() if N.abs(V_mat - Vv_mat).max() > 1e-5: - print V_mat - print Vv_mat - - for qq in xrange(V_mat.shape[0]): - for qqq in xrange(Vv_mat.shape[1]): + print(V_mat) + print(Vv_mat) + + for qq in range(V_mat.shape[0]): + for qqq in range(Vv_mat.shape[1]): if abs(V_mat[qq, qqq] - Vv_mat[qq, qqq]) > 1e-5: - print ('wrong at ' + str((qq, qqq)) + ': ' + - str(V_mat[qq, qqq], Vv_mat[qq, qqq])) + print(('wrong at ' + str((qq, qqq)) + ': ' + + str(V_mat[qq, qqq], Vv_mat[qq, qqq]))) assert False def test_c_against_sparse_mat_transp_mul(self): @@ -413,13 +413,13 @@ c = N.zeros(H_shape[1:]) t = N.zeros(H_shape[1:]) - for qi in xrange(0, H_shape[4]): + for qi in range(0, H_shape[4]): h[:, :, :, qi] = qi - for qi in xrange(0, H_shape[1]): + for qi in range(0, H_shape[1]): r[qi, :, :, :] = qi - for qi in xrange(0, H_shape[2]): + for qi in range(0, H_shape[2]): c[:, qi, :, :] = qi - for qi in xrange(0, H_shape[3]): + for qi in range(0, H_shape[3]): t[:, :, qi, :] = qi hn = H_shape[1] * H_shape[2] * H_shape[3] * H_shape[4] @@ -435,14 +435,14 @@ n = inputChannels * videoHeight * videoWidth * videoDur rbim = N.zeros((videoHeight, videoWidth, videoDur, inputChannels)) - for qi in xrange(0, inputChannels): + for qi in range(0, inputChannels): rbim[:, :, :, qi] = self.rb.get_value(borrow=True)[qi] rbv = rbim.reshape((n)) W_mat = N.zeros((hn, n)) Vv_mat = N.zeros((n, batchSize)) Hv_mat = N.zeros((hn, batchSize)) - for qi in xrange(0, hn): + for qi in range(0, hn): hi = h[qi] ri = r[qi] ci = c[qi] @@ -458,7 +458,7 @@ W_mat[qi, :] = placed_filter.reshape((n)) Hv_mat[qi, :] = Hv[:, ri, ci, ti, hi] - for qi in xrange(0, batchSize): + for qi in range(0, batchSize): Vv_mat[:, qi] = Vv[qi, :, :, :, :].reshape((n)) W_mat_T = sparse.csr_matrix(W_mat.transpose()) @@ -467,15 +467,15 @@ V_mat = (temp.transpose() + rbv).transpose() if N.abs(V_mat - Vv_mat).max() > 1e-5: - print 'mul' - print V_mat - print 'conv' - print Vv_mat - for i in xrange(0, n): - for j in xrange(0, batchSize): + print('mul') + print(V_mat) + print('conv') + print(Vv_mat) + for i in range(0, n): + for j in range(0, batchSize): if abs(V_mat[i, j] - Vv_mat[i, j]) > 1e-5: - print ('wrong at %d,%d: %f mul versus %f conv' - % (i, j, V_mat[i, j], Vv_mat[i, j])) + print(('wrong at %d,%d: %f mul versuRefactoringTool: Refactored ./theano/tensor/nnet/tests/test_conv.py RefactoringTool: Refactored ./theano/tensor/nnet/tests/speed_test_conv.py s %f conv' + % (i, j, V_mat[i, j], Vv_mat[i, j]))) assert False def test_infer_shape(self): --- ./theano/tensor/nnet/tests/test_conv.py (original) +++ ./theano/tensor/nnet/tests/test_conv.py (refactored) @@ -403,21 +403,21 @@ def speed(self): n_calls = 20000 - print "n_calls", n_calls + print("n_calls", n_calls) for border_mode in ['valid', 'full']: - print - print border_mode + print() + print(border_mode) for openmp in [False, True]: - print "OpenMP", openmp + print("OpenMP", openmp) image_shapes = [(1, 5, 6, 6), (10, 5, 6, 6), #(10, 10, 16, 16), #(10, 10, 32, 32) ] - print "image_shape", image_shapes + print("image_shape", image_shapes) for image_shape in image_shapes: filter_shapes = [(1, 5, 4, 4), (2, 5, 4, 4), (5, 5, 4, 4)] - print "filter_shapes", filter_shapes + print("filter_shapes", filter_shapes) for filter_shape in filter_shapes: input = theano.shared(numpy.random.random(image_shape)) @@ -435,8 +435,8 @@ t1 = time.time() theano_conv.fn(n_calls=n_calls) t2 = time.time() - print t2 - t1, - print + print(t2 - t1, end=' ') + print() def test_infer_shape(self): # Note: infer_shape is incomplete and thus input and filter shapes --- ./theano/tensor/nnet/tests/speed_test_conv.py (original) +++ ./theano/tensor/nnet/tests/speed_test_conv.py (refactored) @@ -17,14 +17,14 @@ it = reversed(kern) for i in range(kshp[0]): for j in range(kshp[1]): - flip[i,j] = it.next() + flip[i,j] = next(it) elif len(kern.shape)==3: kern=kern.reshape(kern.shape[0],-1) for k in range(kern.shape[0]): it = reversed(kern[k,:]) for i in range(kshp[0]): for j in range(kshp[1]): - flip[k,i,j] = it.next() + flip[k,i,j] = next(it) elif len(kern.shape)==4: kern=kern.reshape(kern.shape[0],kern.shape[1],-1) for k in range(kern.shape[0]): @@ -32,7 +32,7 @@ it = reversed(kern[k,m,:]) for i in range(kshp[0]): for j in range(kshp[1]): - flip[k,m,i,j] = it.next() + flip[k,m,i,j] = next(it) else: raise NotImplementedError() @@ -60,11 +60,11 @@ tctot=0 tpytot=0 - for kshp, kern, nkern, n_layer in zip(kshps, kerns, nkerns, range(len(nkerns))): + for kshp, kern, nkern, n_layer in zip(kshps, kerns, nkerns, list(range(len(nkerns)))): if do_print: - print '************* layer %i ***************' % n_layer + print('************* layer %i ***************' % n_layer) - print conv_mode, ss, n_layer, kshp, nkern + print(conv_mode, ss, n_layer, kshp, nkern) # actual values w = global_rng.random_sample(N.r_[nkern,imshp[0],kshp]) @@ -154,11 +154,11 @@ tctot=0 tpytot=0 - for kshp, kern, nkern, n_layer in zip(kshps, kerns, nkerns, range(len(nkerns))): + for kshp, kern, nkern, n_layer in zip(kshps, kerns, nkerns, list(range(len(nkerns)))): if do_print: - print '************* layer %i ***************' % n_layer + print('************* layer %i ***************' % n_layer) - print conv_mode, ss, n_layer, kshp, nkern + print(conv_mode, ss, n_layer, kshp, nkern) # actual values w = global_rng.random_sample(N.r_[nkern,imshp[0],kshp]) @@ -224,17 +224,17 @@ t_b_k=[] #calculate the timing with unrolling - print 'time unroll batch kern' + print('time unroll batch kern') best=[] worst=[] t_=[] - for unroll_b, n_b in zip(unroll_batch,range(len(unroll_batch))): - for unroll_k, n_k in zip(unroll_kern,range(len(unroll_kern))): + for unroll_b, n_b in zip(unroll_batch,list(range(len(unroll_batch)))): + for unroll_k, n_k in zip(unroll_kern,list(range(len(unroll_kern)))): t_b_k.append(str(unroll_b)+"/"+str(unroll_k)) if not t_: tctot, tpytot, ntot=[],[],[] - for conv_mode, n_mode in zip(convmodes,range(len(convmodes))): - for ss, n_ss in zip(ssizes,range(len(ssizes))): + for conv_mode, n_mode in zip(convmodes,list(range(len(convmodes)))): + for ss, n_ss in zip(ssizes,list(range(len(ssizes)))): # tctot_, tpytot_, ntot_ = exec_multilayer_conv_nnet_old(conv_mode, ss, bsize, imshp_start, kshps, nkerns, unroll_batch=unroll_b, unroll_kern=unroll_k, validate=validate, verbose=verbose,do_print=False) tctot_, tpytot_, ntot_ = exec_multilayer_conv_nnet(conv_mode, ss, bsize, imshp_start, kshps, nkerns, unroll_batch=unroll_b, unroll_kern=unroll_k, verbose=verbose,do_print=False, repeat=repeat) tctot+=[tctot_] @@ -253,39 +253,39 @@ t=t_ t=N.asarray(t) #calculate the old timing - print 'time old version' + print('time old version') tctot,tpytot,ntot=[],[],[] tctot_=[] if not tctot_: - for conv_mode, n_mode in zip(convmodes,range(len(convmodes))): - for ss, n_ss in zip(ssizes,range(len(ssizes))): + for conv_mode, n_mode in zip(convmodes,list(range(len(convmodes)))): + for ss, n_ss in zip(ssizes,list(range(len(ssizes)))): # tctot_, tpytot_, ntot_ = exec_multilayer_conv_nnet_old(conv_mode, ss, bsize, imshp_start, kshps, nkerns, unroll_batch=0, unroll_kern=0, validate=validate, verbose=verbose,do_print=False) tctot_, tpytot_, ntot_ = exec_multilayer_conv_nnet(conv_mode, ss, bsize, imshp_start, kshps, nkerns, unroll_batch=0, unroll_kern=0, verbose=verbose,do_print=False, repeat=repeat) tctot+=[tctot_] tpytot+=[tpytot_] ntot+=[ntot_] else: tctot=N.asarray(tctot_) - print "old code timing %.3fs"%sum(tctot),tctot + print("old code timing %.3fs"%sum(tctot),tctot) best=N.asarray(best) worst=N.asarray(worst) - print "timing for unrolled version" - print "unroll_batch/unroll_kern valid_mode full_mode" + print("timing for unrolled version") + print("unroll_batch/unroll_kern valid_mode full_mode") for n_b in range(len(unroll_batch)): for n_k in range(len(unroll_kern)): - print (unroll_batch[n_b], unroll_kern[n_k]) + tuple(t[n_b,n_k]),',' + print((unroll_batch[n_b], unroll_kern[n_k]) + tuple(t[n_b,n_k]),',') t_detail=t t = t.sum(axis=2) - print "max %.3fs"%t.max(), "max param(batch unloop size/kernel unloop size)", t_b_k[t.argmax()] - print "min %.3fs"%t.min(), "min param(batch unloop size/kernel unloop size)", t_b_k[t.argmin()] - print "speedup vs (1/1)%.3fx, vs old %.3fx"% (t.max()/t.min(),sum(tctot)/t.min()) - print worst/best,tctot/best + print("max %.3fs"%t.max(), "max param(batch unloop size/kernel unloop size)", t_b_k[t.argmax()]) + print("min %.3fs"%t.min(), "min param(batch unloop size/kernel unloop size)", t_b_k[t.argmin()]) + print("speedup vs (1/1)%.3fx, vs old %.3fx"% (t.max()/t.min(),sum(tctot)/t.min())) + print(worst/best,tctot/best) #calculate the timing oRefactoringTool: Refactored ./theano/tensor/nnet/sigm.py f unroll_patch - print 'time unroll_patch' + print('time unroll_patch') tctot_patch = [] tctot_patch_size = [] - for conv_mode, n_mode in zip(convmodes,range(len(convmodes))): - for ss, n_ss in zip(ssizes,range(len(ssizes))): + for conv_mode, n_mode in zip(convmodes,list(range(len(convmodes)))): + for ss, n_ss in zip(ssizes,list(range(len(ssizes)))): #tctot_, tpytot_, ntot_ = exec_multilayer_conv_nnet_old(conv_mode, ss, bsize, imshp_start, kshps, nkerns, unroll_batch=0, unroll_kern=0, validate=validate,unroll_patch=True,verbose=verbose,do_print=False) tctot_, tpytot_, ntot_ = exec_multilayer_conv_nnet(conv_mode, ss, bsize, imshp_start, kshps, nkerns, unroll_batch=0, unroll_kern=0, unroll_patch=True,verbose=verbose,do_print=False, repeat=repeat) tctot_patch += [tctot_] @@ -294,13 +294,13 @@ tctot_patch_size += [tctot_] t_patch=sum(tctot_patch) - print "unroll_patch without shape time", tctot_patch - print "speedup vs (1/1)%.3fx, vs old %.3fx"% (t.max()/t_patch,sum(tctot)/t_patch) - print best/tctot_patch, worst/tctot_patch + print("unroll_patch without shape time", tctot_patch) + print("speedup vs (1/1)%.3fx, vs old %.3fx"% (t.max()/t_patch,sum(tctot)/t_patch)) + print(best/tctot_patch, worst/tctot_patch) t_patch_size=sum(tctot_patch_size) - print "unroll_patch with shape time", tctot_patch_size - print "speedup vs (1/1)%.3fx, vs old %.3fx"% (t.max()/t_patch_size,sum(tctot)/t_patch_size) - print best/tctot_patch_size, worst/tctot_patch_size + print("unroll_patch with shape time", tctot_patch_size) + print("speedup vs (1/1)%.3fx, vs old %.3fx"% (t.max()/t_patch_size,sum(tctot)/t_patch_size)) + print(best/tctot_patch_size, worst/tctot_patch_size) return --- ./theano/tensor/nnet/sigm.py (original) +++ ./theano/tensor/nnet/sigm.py (refactored) @@ -4,7 +4,7 @@ """ import warnings -from itertools import imap + import numpy @@ -143,9 +143,9 @@ 'doc', 'library', 'tensor', 'nnet', 'sigmoid_prec.png') plt.savefig(fname) - print "New picture saved at", fname - print val_ultra.max() - print val_ultra.min() + print("New picture saved at", fname) + print(val_ultra.max()) + print(val_ultra.min()) scalar_sigmoid = ScalarSigmoid(scalar.upgrade_to_float, name='scalar_sigmoid') @@ -589,7 +589,7 @@ return [not neg, sub_tree] else: # Recurse into inputs. - return [False, map(parse_mul_tree, mul_info)] + return [False, list(map(parse_mul_tree, mul_info))] def replace_leaf(arg, leaves, new_leaves, op, neg): @@ -643,7 +643,7 @@ if isinstance(inputs, list): # Recurse through inputs. s_inputs = [] - for s_i in imap(simplify_mul, inputs): + for s_i in map(simplify_mul, inputs): if s_i[1] is None: # Multiplication by +/-1. neg ^= s_i[0] @@ -683,7 +683,7 @@ 'call `simplify_mul` on the tree first?') elif isinstance(inputs, list): # Recurse through inputs. - rval = tensor.mul(*map(compute_mul, inputs)) + rval = tensor.mul(*list(map(compute_mul, inputs))) else: rval = inputs if neg: @@ -739,13 +739,13 @@ if full_tree is None: full_tree = tree if False: # Debug code. - print '' - print ' full_tree = %s' % full_tree - print ' tree = %s' % tree - print ' exp_x = %s' % exp_x - print ' exp_minus_x = %s' % exp_minus_x - print ' sigm_x = %s' % sigm_x - print ' sigm_minus_x= %s' % sigm_minus_x + print('') + print(' full_tree = %s' % full_tree) + print(' tree = %s' % tree) + print(' exp_x = %s' % exp_x) + RefactoringTool: Refactored ./theano/tensor/nnet/nnet.py RefactoringTool: No changes to ./theano/tensor/nnet/conv3d2d.py RefactoringTool: Refactored ./theano/tensor/nnet/conv.py print(' exp_minus_x = %s' % exp_minus_x) + print(' sigm_x = %s' % sigm_x) + print(' sigm_minus_x= %s' % sigm_minus_x) neg, inputs = tree if isinstance(inputs, list): # Recurse through inputs of the multiplication. @@ -866,7 +866,7 @@ if sub_r.owner and sub_r.owner.op == sigmoid: try: val_l = opt.get_scalar_constant_value(sub_l) - except Exception, e: + except Exception as e: return if numpy.allclose(numpy.sum(val_l), 1): return [sigmoid(-sub_r.owner.inputs[0])] @@ -891,8 +891,8 @@ @opt.register_stabilize @gof.local_optimizer([tensor.mul]) def local_sigm_gest(node): - print "CANONICALIZE" - print sigm_canonicalize(node) + print("CANONICALIZE") + print(sigm_canonicalize(node)) def sigm_canonicalize(node): add = tensor.add --- ./theano/tensor/nnet/nnet.py (original) +++ ./theano/tensor/nnet/nnet.py (refactored) @@ -70,7 +70,7 @@ raise ValueError('b must have same number of columns as x') sm = numpy.zeros_like(x) - for i in xrange(sm.shape[0]): + for i in range(sm.shape[0]): row = x[i] + b sm[i] = numpy.exp(row - numpy.max(row)) sm[i] *= 1.0 / numpy.sum(sm[i]) @@ -246,7 +246,7 @@ dy, sm = input_storage dx = numpy.zeros_like(sm) #dx[i,j] = - (\sum_k dy[i,k] sm[i,k]) sm[i,j] + dy[i,j] sm[i,j] - for i in xrange(sm.shape[0]): + for i in range(sm.shape[0]): dy_times_sm_i = dy[i] * sm[i] dx[i] = dy_times_sm_i - sum(dy_times_sm_i) * sm[i] output_storage[0][0] = dx @@ -787,7 +787,7 @@ nll = numpy.zeros(x.shape[0], dtype=node.outputs[0].type. dtype) # nll(y | softmax(x)) am = numpy.zeros_like(y_idx) - for i in xrange(sm.shape[0]): + for i in range(sm.shape[0]): #add the bias vector to the i'th row of x row = x[i] + b @@ -985,7 +985,7 @@ def perform(self, node, input_storage, output_storage): dy, sm, y_idx = input_storage dx = numpy.zeros_like(sm) - for i in xrange(sm.shape[0]): + for i in range(sm.shape[0]): dx[i] = dy[i] * sm[i] # vector scale dx[i, y_idx[i]] -= dy[i] # scalar decrement output_storage[0][0] = dx @@ -1155,7 +1155,7 @@ g_y, coding_dist, true_one_of_n = inp g_coding_strg, = out g_coding = numpy.zeros_like(coding_dist) - for i in xrange(len(g_y)): + for i in range(len(g_y)): g_coding[i, true_one_of_n[i]] = -g_y[i] / coding_dist[i, true_one_of_n[i]] g_coding_strg[0] = g_coding @@ -1217,7 +1217,7 @@ coding, one_of_n = inp y_out, = out y = numpy.zeros_like(coding[:, 0]) - for i in xrange(len(y)): + for i in range(len(y)): y[i] = -numpy.log(coding[i, one_of_n[i]]) y_out[0] = y --- ./theano/tensor/nnet/conv.py (original) +++ ./theano/tensor/nnet/conv.py (refactored) @@ -94,12 +94,12 @@ #accept Constant value for image_shape and filter_shape. if image_shape is not None: image_shape = list(image_shape) - for i in xrange(len(image_shape)): + for i in range(len(image_shape)): if image_shape[i] is not None: try: image_shape[i] = get_scalar_constant_value( as_tensor_variable(image_shape[i])) - except NotScalarConstantError, e: + except NotScalarConstantError as e: raise NotScalarConstantError( "The convolution need that the shape" " information are constant values. We got" @@ -109,12 +109,12 @@ image_shape[i] = int(image_shape[i]) if filter_shape is not None: filter_shape = list(filter_shape) - for i in xrRefactoringTool: Refactored ./theano/tensor/nnet/__init__.py RefactoringTool: Refactored ./theano/tensor/nnet/ConvTransp3D.py ange(len(filter_shape)): + for i in range(len(filter_shape)): if filter_shape[i] is not None: try: filter_shape[i] = get_scalar_constant_value( as_tensor_variable(filter_shape[i])) - except NotScalarConstantError, e: + except NotScalarConstantError as e: raise NotScalarConstantError( "The convolution need that the shape" " information are constant values. We got" @@ -127,7 +127,7 @@ try: assert image_shape[1] == filter_shape[1] except Exception: - print 'image ', image_shape, ' filters ', filter_shape + print('image ', image_shape, ' filters ', filter_shape) raise if filter_shape is not None: @@ -514,7 +514,7 @@ time_unroll_patch = self.speed_unroll_patch_noshape[ mode_idx] time_unroll_batch_kern = 9999999 - for i in xrange(len(self.speed_unroll_batch_kern)): + for i in range(len(self.speed_unroll_batch_kern)): if (bsize % self.speed_unroll_batch_kern[i][0] == 0 and nkern % self.speed_unroll_batch_kern[i][1] == 0): if self.speed_unroll_batch_kern[i][2 + mode_idx] < time_unroll_batch_kern: @@ -729,10 +729,10 @@ val = _valfrommode(self.out_mode) bval = _bvalfromboundary('fill') - for b in xrange(bsize): - for n in xrange(nkern): + for b in range(bsize): + for n in range(nkern): zz[b, n, ...].fill(0) - for im0 in xrange(stacklen): + for im0 in range(stacklen): zz[b, n, ...] += _convolve2d(img2d[b, im0, ...], filtersflipped[n, im0, ...], 1, val, bval, 0) @@ -747,12 +747,12 @@ img2d = img2d2 #N_image_shape = image_data.shape - for b in xrange(bsize): - for n in xrange(nkern): + for b in range(bsize): + for n in range(nkern): zz[b, n, ...].fill(0) - for im0 in xrange(stacklen): - for row in xrange(0, zz.shape[2], self.dx): - for col in xrange(0, zz.shape[3], self.dy): + for im0 in range(stacklen): + for row in range(0, zz.shape[2], self.dx): + for col in range(0, zz.shape[3], self.dy): zz[b, n, row, col] += (img2d[b, im0, row:row + kshp[0], col:col + kshp[1]] * filtersflipped[n, im0, ::-1, ::-1]).sum() @@ -1744,7 +1744,7 @@ def my_dup(st, size): s = "" - for i in xrange(size): + for i in range(size): d["unroll_iter"] = i s += st % d return s + "\n" @@ -1752,9 +1752,9 @@ def my_dup2(st): s = "" iter = 0 - for i in xrange(unroll_bsize): + for i in range(unroll_bsize): d["unroll_biter"] = i - for j in xrange(unroll_ksize): + for j in range(unroll_ksize): d["unroll_kiter"] = j d["unroll_iter"] = iter iter += 1 --- ./theano/tensor/nnet/__init__.py (original) +++ ./theano/tensor/nnet/__init__.py (refactored) @@ -1,8 +1,8 @@ -from nnet import * -from conv import conv2d, ConvOp -from Conv3D import * -from ConvGrad3D import * -from ConvTransp3D import * -from sigm import (softplus, sigmoid, sigmoid_inplace, +from .nnet import * +from .conv import conv2d, ConvOp +from .Conv3D import * +from .ConvGrad3D import * +from .ConvTransp3D import * +from .sigm import (softplus, sigmoid, sigmoid_inplace, scalar_sigmoid, ultra_fast_sigmoid, hard_sigmoid) --- ./RefactoringTool: Refactored ./theano/tensor/nnet/ConvGrad3D.py RefactoringTool: Refactored ./theano/tensor/nnet/Conv3D.py theano/tensor/nnet/ConvTransp3D.py (original) +++ ./theano/tensor/nnet/ConvTransp3D.py (refactored) @@ -356,7 +356,7 @@ if Rshape is not None and Rshape[0] != -1: if Rshape[0] < videoHeight: - print (Rshape[0], videoHeight) + print((Rshape[0], videoHeight)) assert False assert Rshape[1] >= videoWidth assert Rshape[2] >= videoDur @@ -373,14 +373,14 @@ videoWidth, videoDur, inputChannels), dtype=H.dtype) #R[i,j,r,c,t] = b_j + sum_{rc,rk | d \circ rc + rk = r} sum_{cc,ck | ...} sum_{tc,tk | ...} sum_k W[k, j, rk, ck, tk] * H[i,k,rc,cc,tc] - for i in xrange(0, batchSize): + for i in range(0, batchSize): #print '\texample '+str(i+1)+'/'+str(batchSize) - for j in xrange(0, inputChannels): + for j in range(0, inputChannels): #print '\t\tfeature map '+str(j+1)+'/'+str(inputChannels) - for r in xrange(0, videoHeight): + for r in range(0, videoHeight): #print '\t\t\trow '+str(r+1)+'/'+str(videoHeight) - for c in xrange(0, videoWidth): - for t in xrange(0, videoDur): + for c in range(0, videoWidth): + for t in range(0, videoDur): R[i, r, c, t, j] = b[j] ftc = max([0, int(N.ceil( @@ -426,5 +426,5 @@ return R -from Conv3D import conv3D -from ConvGrad3D import convGrad3D +from .Conv3D import conv3D +from .ConvGrad3D import convGrad3D --- ./theano/tensor/nnet/ConvGrad3D.py (original) +++ ./theano/tensor/nnet/ConvGrad3D.py (refactored) @@ -72,15 +72,15 @@ #print 'computing output of shape '+str(WShape) - for k in xrange(0, WShape[1]): - for l in xrange(0, WShape[2]): - for m in xrange(0, WShape[3]): - for i in xrange(0, batchSize): - for p in xrange(0, outputHeight): - for q in xrange(0, outputWidth): - for r in xrange(0, outputDur): - for j in xrange(0, WShape[0]): - for z in xrange(0, WShape[4]): + for k in range(0, WShape[1]): + for l in range(0, WShape[2]): + for m in range(0, WShape[3]): + for i in range(0, batchSize): + for p in range(0, outputHeight): + for q in range(0, outputWidth): + for r in range(0, outputDur): + for j in range(0, WShape[0]): + for z in range(0, WShape[4]): dCdW[j,k,l,m,z] += dCdH[i,p,q,r,j] * V[i,dr*p+k,dc*q+l,dt*r+m,z] output_storage[0][0] = dCdW @@ -276,5 +276,5 @@ convGrad3D = ConvGrad3D() -from Conv3D import conv3D -from ConvTransp3D import convTransp3D +from .Conv3D import conv3D +from .ConvTransp3D import convTransp3D --- ./theano/tensor/nnet/Conv3D.py (original) +++ ./theano/tensor/nnet/Conv3D.py (refactored) @@ -572,7 +572,7 @@ assert len(W.shape) == 5 assert len(V.shape) == 5 if len(b.shape) != 1: - print b.shape + print(b.shape) assert False assert len(d) == 3 @@ -604,19 +604,19 @@ outputWidth, outputDur, outputChannels ), dtype=V.dtype ) #H[i,j,x,y,t] = b_j + sum_k sum_l sum_m sum_z W[j,z,k,l,m] V[i,z, dx*x+k,dy*y+l,dt*t+m] - for i in xrange(0,H.shape[0]): + for i in range(0,H.shape[0]): #print '\texample '+str(i+1)+'/'+str(H.shape[0]) - for j in xrange(0,H.shape[4]): + for j in range(0,H.shape[4]): #print '\t\tfeature map '+str(j+1)+'/'+str(H.shape[1]) - for x in xrange(0,H.shape[1]): + for x in range(0,H.shape[1]): #print '\t\t\trow '+str(x+1)+'/'+str(H.shape[2]) - for y in xrange(0,H.shape[2]): - for t in xrange(0,H.shape[3]): + RefactoringTool: No changes to ./theano/tensor/io.py RefactoringTool: Refactored ./theano/tensor/inplace.py RefactoringTool: No changes to ./theano/tensor/fourier.py RefactoringTool: Refactored ./theano/tensor/extra_ops.py RefactoringTool: Refactored ./theano/tensor/elemwise_cgen.py RefactoringTool: Refactored ./theano/tensor/elemwise.py for y in range(0,H.shape[2]): + for t in range(0,H.shape[3]): H[i,x,y,t,j] = b[j] - for k in xrange(0,filterHeight): - for l in xrange(0,filterWidth): - for m in xrange(0,filterDur): - for z in xrange(0,inputChannels): + for k in range(0,filterHeight): + for l in range(0,filterWidth): + for m in range(0,filterDur): + for z in range(0,inputChannels): #if (i,j,x,y,t) == (0,0,0,0,0): # print (( W[j,z,k,l,m] , V[i,z,d[0]*x+k,d[1]*y+l,d[2]*t+m] ), (k,l,m) ) w = W[j,k,l,m,z] @@ -627,5 +627,5 @@ return H -import ConvGrad3D -import ConvTransp3D +from . import ConvGrad3D +from . import ConvTransp3D --- ./theano/tensor/inplace.py (original) +++ ./theano/tensor/inplace.py (refactored) @@ -1,5 +1,5 @@ from theano import scalar as scal -import elemwise +from . import elemwise from theano import printing from theano.printing import pprint @@ -292,7 +292,7 @@ def transpose_inplace(x, **kwargs): """Perform a transpose on a tensor without copying the underlying storage""" - dims = range(x.ndim-1, -1, -1) + dims = list(range(x.ndim-1, -1, -1)) return elemwise.DimShuffle(x.broadcastable, dims, inplace=True)(x) #pprint.assign(transpose_inplace, printing.MemberPrinter('T')) --- ./theano/tensor/extra_ops.py (original) +++ ./theano/tensor/extra_ops.py (refactored) @@ -285,7 +285,9 @@ return [[True], [False]] - def grad(self, (x, repeats), (gz, )): + def grad(self, xxx_todo_changeme, xxx_todo_changeme1): + (x, repeats) = xxx_todo_changeme + (gz, ) = xxx_todo_changeme1 if repeats.ndim == 0: if self.axis is None: axis = x.ndim --- ./theano/tensor/elemwise_cgen.py (original) +++ ./theano/tensor/elemwise_cgen.py (refactored) @@ -229,7 +229,7 @@ s = preloops.get(0, "") else: s = "" - for i, (pre_task, task), indices in reversed(zip(xrange(len(loop_tasks) - 1), loop_tasks, zip(*loop_orders))): + for i, (pre_task, task), indices in reversed(list(zip(list(range(len(loop_tasks) - 1)), loop_tasks, list(zip(*loop_orders))))): s = loop_over(preloops.get(i, "") + pre_task, s + task, indices, i) s += loop_tasks[-1] @@ -319,7 +319,7 @@ %(ovar)s_loops_it = %(ovar)s_loops.begin(); """ % locals() - for i in xrange(nnested): + for i in range(nnested): declare_totals += """ int TOTAL_%(i)i = init_totals[%(ovar)s_loops_it->second]; ++%(ovar)s_loops_it; @@ -361,13 +361,13 @@ std::vector< std::pair >::reverse_iterator %(ovar)s_loops_rit; """ % locals() - for i in xrange(nvars): + for i in range(nvars): var = sub["lv%i" % i] declare_strides_jumps += """ %(ovar)s_loops_rit = %(ovar)s_loops.rbegin();""" % locals() adjust = "0" - for j in reversed(range(nnested)): + for j in reversed(list(range(nnested))): jump = "(%s) - (%s)" % ("%(var)s_stride_l%(j)i" % locals(), adjust) declare_strides_jumps +=""" int %(var)s_stride_l%(j)i = init_strides[%(i)i][%(ovar)s_loops_rit->second]; @@ -382,11 +382,11 @@ declare_iter += "%(var)s_iter = (%(dtype)s*)(PyArray_DATA(%(var)s));\n" % locals() loop = inner_task - for i in reversed(range(nnested)): + for i in reversed(list(range(nnested))): iterv = 'ITER_%i' % i total = 'TOTAL_%i' % i update = '' - for j in xrange(nvars): + for j in range(nvars): var = sub["lv%i" % j] update += "%(var)s_iter += %(var)s_jump_l%(i)i;\n" % locals() --- ./theano/tensor/elemwise.py (original) +++ ./theano/tensor/elemwise.py (refactored) @@ -1,6 +1,6 @@ import sys from copy import copy -from itertools import izip + import numpy @@ -20,7 +20,7 @@ # We cannot import discrete_dtypes from tensor.basic yet, # so we redefine them here -discrete_dtypes = map(str, scalar.discrete_types) +discrete_dtypes = list(map(str, scalar.discrete_types)) # tensor depends on elemwise to provide definitions for several ops @@ -314,7 +314,7 @@ str(nd_out) + '-1] = PyArray_DESCR(%(basename)s)->elsize' ) - for i in xrange(nd_out - 2, -1, -1): + for i in range(nd_out - 2, -1, -1): strides_statements.append( "if (strides[%(i)s] == 0) strides[%(i)s] = strides[%(i)s+1] * dimensions[%(i)s+1]" % dict(i=str(i))) @@ -352,16 +352,16 @@ + close_bracket) if 0: - print 'C_CODE' - print '' - print self - print "IN BROAD", self.input_broadcastable - print "NEW ORDER", self.new_order - print "SHUFFLE", self.shuffle - print "AUGMENT", self.augment - print '------------' - print '' - print full_code + print('C_CODE') + print('') + print(self) + print("IN BROAD", self.input_broadcastable) + print("NEW ORDER", self.new_order) + print("SHUFFLE", self.shuffle) + print("AUGMENT", self.augment) + print('------------') + print('') + print(full_code) if 0: sys.exit() @@ -395,9 +395,9 @@ if new_order != () and new_order[0] == 'x': return "%s" % self.__p(new_order[1:], pstate, r) # return "[%s]" % self.__p(new_order[1:], pstate, r) - if list(new_order) == range(r.type.ndim): + if list(new_order) == list(range(r.type.ndim)): return pstate.pprinter.process(r) - if list(new_order) == list(reversed(range(r.type.ndim))): + if list(new_order) == list(reversed(list(range(r.type.ndim)))): return "%s.T" % pstate.pprinter.process(r) return "DimShuffle{%s}(%s)" % (", ".join(map(str, new_order)), pstate.pprinter.process(r)) @@ -474,7 +474,7 @@ self.name = name self.scalar_op = scalar_op self.inplace_pattern = inplace_pattern - self.destroy_map = dict((o, [i]) for o, i in inplace_pattern.items()) + self.destroy_map = dict((o, [i]) for o, i in list(inplace_pattern.items())) self.ufunc = None self.nfunc = None @@ -513,7 +513,7 @@ is left-completed to the greatest number of dimensions with 1s using DimShuffle. """ - inputs = map(as_tensor_variable, inputs) + inputs = list(map(as_tensor_variable, inputs)) shadow = self.scalar_op.make_node( *[Scalar(dtype=i.type.dtype)() for i in inputs]) @@ -529,7 +529,7 @@ # TODO: use LComplete instead args.append(DimShuffle( input.type.broadcastable, - ['x'] * difference + range(length), + ['x'] * difference + list(range(length)), inplace=False)(input)) inputs = args @@ -542,14 +542,14 @@ # it is multiplied by nout because Elemwise supports multiple outputs # (nout of them) out_broadcastables = [[all(bcast) - for bcast in izip(*[input.type.broadcastable + for bcast in zip(*[input.type.broadcastable for input in inputs])]] * shadow.nout #inplace_pattern maps output idx -> input idx inplace_pattern = self.inplace_pattern if inplace_pattern: - for overwriter, overwritten in inplace_pattern.items(): - for ob, ib in izip(out_broadcastables[overwriter], + for overwriter, overwritten in list(inplace_pattern.items()): + for ob, ib in zip(out_broadcastables[overwriter], inputs[overwritten].type.broadcastable): if ib and not ob: raise ValueError(( @@ -558,20 +558,20 @@ out_dtypes = [o.type.dtype for o in shadow.outputs] if any(inputs[i].type.dtype != out_dtypes[o] - for o, i in inplace_pattern.items()): + for o, i in list(inplace_pattern.items())): raise TypeError(( "Cannot do an inplace operation on incompatible data types.", ([i.type.dtype for i in inputs], out_dtypes, inplace_pattern))) outputs = [TensorType(dtype=dtype, broadcastable=broadcastable)() - for dtype, broadcastable in izip(out_dtypes, out_broadcastables) + for dtype, broadcastable in zip(out_dtypes, out_broadcastables) ] return Apply(self, inputs, outputs) def __eq__(self, other): if type(self) == type(other): - items = self.inplace_pattern.items() - other_items = other.inplace_pattern.items() + items = list(self.inplace_pattern.items()) + other_items = list(other.inplace_pattern.items()) items.sort() other_items.sort() rval = ((self.scalar_op == other.scalar_op) @@ -591,7 +591,7 @@ def __str__(self): if self.name is None: if self.inplace_pattern: - items = self.inplace_pattern.items() + items = list(self.inplace_pattern.items()) items.sort() return "Elemwise{%s}%s" % (self.scalar_op, str(items)) else: @@ -612,7 +612,7 @@ bgrads = self._bgrad(inputs, ograds) rop_out = None - for jdx, (inp, eval_point) in enumerate(izip(inputs, + for jdx, (inp, eval_point) in enumerate(zip(inputs, eval_points)): # if None, then we can just ignore this branch .. # what we do is to assume that for any non-differentiable @@ -664,7 +664,7 @@ # can tell this op did # the right thing. new_rval = [] - for elem, ipt in izip(rval, inputs): + for elem, ipt in zip(rval, inputs): if isinstance(elem.type, (NullType, DisconnectedType)): new_rval.append(elem) else: @@ -720,8 +720,8 @@ return t return Scalar(t.type.dtype)() - scalar_inputs = map(as_scalar, inputs) - scalar_ograds = map(as_scalar, ograds) + scalar_inputs = list(map(as_scalar, inputs)) + scalar_ograds = list(map(as_scalar, ograds)) scalar_igrads = self.scalar_op.grad(scalar_inputs, scalar_ograds) for igrad in scalar_igrads: assert igrad is not None, self.scalar_op @@ -755,7 +755,7 @@ *[transform(ipt) for ipt in node.inputs]) return new_r ret = [] - for scalar_igrad, ipt in izip(scalar_igrads, inputs): + for scalar_igrad, ipt in zip(scalar_igrads, inputs): if scalar_igrad is None: # undefined gradient ret.append(None) @@ -766,8 +766,8 @@ def perform(self, node, inputs, output_storage): maxsize = max(len(input.shape) for input in inputs) - for dims in izip(*[([(1, True)] * (maxsize - len(input.shape)) - + zip(input.shape, sinput.type.broadcastable)) + for dims in zip(*[([(1, True)] * (maxsize - len(input.shape)) + + list(zip(input.shape, sinput.type.broadcastable))) for input, sinput in zip(inputs, node.inputs)]): if max(d for d, b in dims) != 1 and (1, False) in dims: # yes there may be more compact ways to write this code, @@ -791,7 +791,7 @@ # Determine the shape of outputs out_shape = [] - for values in izip(*[input.shape for input in inputs]): + for values in zip(*[input.shape for input in inputs]): if any(v == 0 for v in values): # All non-broadcasted dimensions should be zero assert max(values) <= 1 @@ -801,7 +801,7 @@ out_shape = tuple(out_shape) if not self.inplace_pattern: - for output, storage in izip(node.outputs, output_storage): + for output, storage in zip(node.outputs, output_storage): odat = storage[0] if odat is not None: if odat.shape != out_shape: @@ -813,7 +813,7 @@ storage[0] = odat else: for i, (output, storage) in enumerate( - izip(node.outputs, output_storage)): + zip(node.outputs, output_storage)): #i is an output idx if i in self.inplace_pattern: odat = inputs[self.inplace_pattern[i]] @@ -852,7 +852,7 @@ if nout == 1: variables = [variables] - for variable, storage, nout in izip(variables, output_storage, + for variable, storage, nout in zip(variables, output_storage, node.outputs): if str(getattr(variable, "dtype", "")) == 'object': # Since numpy 1.6, function created with numpy.frompyfunc @@ -885,7 +885,7 @@ else: # there must be some input that is not broadcastable in # dimension 'dim' - for ishp, i in izip(i_shapes, node.inputs): + for ishp, i in zip(i_shapes, node.inputs): if isinstance(i.type, theano.scalar.Scalar): continue # we skip scalar if not i.type.broadcastable[dim]: @@ -915,7 +915,7 @@ # assert that inames and inputs order stay consistent. # This is to protect again futur change of uniq. assert len(inames) == len(inputs) - ii, iii = zip(*gof.utils.uniq(zip(_inames, node.inputs))) + ii, iii = list(zip(*gof.utils.uniq(list(zip(_inames, node.inputs))))) assert all([x == y for x,y in zip(ii, inames)]) assert all([x == y for x,y in zip(iii, inputs)]) @@ -926,15 +926,15 @@ # that overwrite them. We just convert them to the actual # Variables. dmap = dict([(node.outputs[o], [node.inputs[i]]) - for o, i in self.inplace_pattern.iteritems()]) + for o, i in self.inplace_pattern.items()]) # dtypes of the inputs idtypes = [input.type.dtype_specs()[1] for input in inputs] # These are the outputs that we will need to allocate # (output, name, name of the c type), transposed - real = zip(*[(r, s, r.type.dtype_specs()[1]) - for r, s in izip(node.outputs, onames) if r not in dmap]) + real = list(zip(*[(r, s, r.type.dtype_specs()[1]) + for r, s in zip(node.outputs, onames) if r not in dmap])) if real: real_outputs, real_onames, real_odtypes = real else: @@ -943,8 +943,8 @@ # Outputs that are aliased with an input (inplace) # (output, name), transposed (c type name not needed since we don't # need to allocate. - aliased = zip(*[(r, s) - for (r, s) in izip(node.outputs, onames) if r in dmap]) + aliased = list(zip(*[(r, s) + for (r, s) in zip(node.outputs, onames) if r in dmap])) if aliased: aliased_outputs, aliased_onames = aliased else: @@ -960,7 +960,7 @@ # dimensionality) nnested = len(orders[0]) sub = dict(sub) - for i, (input, iname) in enumerate(izip(inputs, inames)): + for i, (input, iname) in enumerate(zip(inputs, inames)): # the c generators will substitute the input names for # references to loop variables lv0, lv1, ... sub['lv%i' % i] = iname @@ -970,7 +970,7 @@ # Check if all inputs (except broadcasted scalar) are fortran. # In that case, create an fortran output ndarray. - z = zip(inames, inputs) + z = list(zip(inames, inputs)) alloc_fortran = ' && '.join(["PyArray_ISFORTRAN(%s)" % arr for arr, var in z if not all(var.broadcastable)]) @@ -983,16 +983,16 @@ # We loop over the "real" outputs, i.e., those that are not # inplace (must be allocated) and we declare/allocate/check # them - for output, oname, odtype in izip( + for output, oname, odtype in zip( real_outputs, real_onames, real_odtypes): i += 1 # before this loop, i = number of inputs sub['lv%i' % i] = oname sub['olv'] = oname - alloc += cgen.make_declare([range(nnested)], [odtype], + alloc += cgen.make_declare([list(range(nnested))], [odtype], dict(sub, lv0=oname)) alloc += cgen.make_alloc(orders, odtype, sub, fortran=alloc_fortran) - alloc += cgen.make_checks([range(nnested)], [odtype], + alloc += cgen.make_checks([list(range(nnested))], [odtype], dict(sub, lv0=oname)) olv_index = i # index of the last output @@ -1000,7 +1000,7 @@ # inplace (overwrite the contents of one of the inputs) and # make the output pointers point to theur corresponding input # pointers. - for output, oname in izip(aliased_outputs, aliased_onames): + for output, oname in zip(aliased_outputs, aliased_onames): olv_index = inputs.index(dmap[output][0]) iname = inames[olv_index] # We make the output point to the corresponding input and @@ -1026,7 +1026,7 @@ # not be declared, as they are #defined in defines task_decl = "".join([ "%s& %s_i = *%s_iter;\n" % (dtype, name, name) - for name, dtype in izip(inames + list(real_onames), + for name, dtype in zip(inames + list(real_onames), idtypes + list(real_odtypes))]) # We generate the C code of the inner loop using the scalar op @@ -1058,13 +1058,13 @@ all_code = [code] loop = cgen.make_loop( - loop_orders=orders + [range(nnested)] * len(real_onames), + loop_orders=orders + [list(range(nnested))] * len(real_onames), dtypes=(idtypes + list(real_odtypes)), loop_tasks=all_code, sub=sub) else: loop = cgen.make_reordered_loop( - init_loop_orders=orders + [range(nnested)] * len(real_onames), + init_loop_orders=orders + [list(range(nnested))] * len(real_onames), olv_index=olv_index, dtypes=(idtypes + list(real_odtypes)), inner_task=code, @@ -1118,7 +1118,7 @@ } """ % locals() if contig is not None: - z = zip(inames + onames, inputs + node.outputs) + z = list(zip(inames + onames, inputs + node.outputs)) cond1 = ' && '.join(["PyArray_ISCONTIGUOUS(%s)" % arr for arr, var in z if not all(var.broadcastable)]) @@ -1276,7 +1276,7 @@ input = as_tensor_variable(input) axis = self.axis if axis is None: - axis = range(len(input.type.broadcastable)) + axis = list(range(len(input.type.broadcastable))) if any([a < 0 for a in axis]): axis2 = [] for a in self.axis: @@ -1331,7 +1331,7 @@ output, = out axis = self.axis if axis is None: - axis = range(input.ndim) + axis = list(range(input.ndim)) variable = inputRefactoringTool: Refactored ./theano/tensor/deprecated/test_rmodule.py to_reduce = reversed(sorted(axis)) @@ -1413,7 +1413,7 @@ axis = self.axis if axis is None: - axis = range(len(input.type.broadcastable)) + axis = list(range(len(input.type.broadcastable))) if len(axis) == 0: # The acc_dtype is never a downcast compared to the input dtype @@ -1424,13 +1424,13 @@ assert var.dtype == node.outputs[0].dtype return var.owner.op._c_all(var.owner, name, inames, onames, sub) - order1 = [i for i in xrange(input.type.ndim) if i not in axis] + order1 = [i for i in range(input.type.ndim) if i not in axis] order = order1 + list(axis) nnested = len(order1) sub = dict(sub) - for i, (input, iname) in enumerate(izip(node.inputs, inames)): + for i, (input, iname) in enumerate(zip(node.inputs, inames)): sub['lv%i' % i] = iname decl = "" @@ -1453,11 +1453,11 @@ # Allocate output buffer alloc += cgen.make_declare( - [range(nnested) + ['x'] * len(axis)], + [list(range(nnested)) + ['x'] * len(axis)], [odtype], dict(sub, lv0=oname)) alloc += cgen.make_alloc([order1], odtype, sub) alloc += cgen.make_checks( - [range(nnested) + ['x'] * len(axis)], + [list(range(nnested)) + ['x'] * len(axis)], [odtype], dict(sub, lv0=oname)) if adtype != odtype: @@ -1466,11 +1466,11 @@ sub['olv'] = aname alloc += cgen.make_declare( - [range(nnested) + ['x'] * len(axis)], + [list(range(nnested)) + ['x'] * len(axis)], [adtype], dict(sub, lv0=aname)) alloc += cgen.make_alloc([order1], adtype, sub) alloc += cgen.make_checks( - [range(nnested) + ['x'] * len(axis)], + [list(range(nnested)) + ['x'] * len(axis)], [adtype], dict(sub, lv0=aname)) if hasattr(self.scalar_op, 'identity'): @@ -1495,7 +1495,7 @@ pattern = [0] * len(node.inputs[0].broadcastable) axis = self.axis if axis is None: - axis = range(len(pattern)) + axis = list(range(len(pattern))) for i in axis: pattern[i] = 1 pattern_ = str(pattern)[1:-1] @@ -1551,7 +1551,7 @@ else: all_code = [task0_decl + code1] loop = cgen.make_loop( - [order, range(nnested) + ['x'] * len(axis)], + [order, list(range(nnested)) + ['x'] * len(axis)], [idtype, adtype], all_code, sub) end = "" @@ -1846,7 +1846,7 @@ gz = as_tensor_variable(gz) axis = self.axis if axis is None: - axis = range(x.type.ndim) + axis = list(range(x.type.ndim)) if axis == (): return gz, new_dims = [] @@ -1965,7 +1965,7 @@ gz = as_tensor_variable(gz) axis = self.axis if axis is None: - axis = range(prod_in.type.ndim) + axis = list(range(prod_in.type.ndim)) if axis == (): return gz, new_dims = [] --- ./theano/tensor/deprecated/test_rmodule.py (original) +++ ./theano/tensor/deprecated/test_rmodule.py (refactored) @@ -14,19 +14,19 @@ class T_test_module(unittest.TestCase): def test_state_propagation(self): if 1: - print >> sys.stderr, "RModule deprecated" + print("RModule deprecated", file=sys.stderr) else: x = tensor.vector() rk = RandomKit('rk', 1000) f = compile.function([x, (rk, [gof.Container(r = gof.generic, storage = [123], name='bla')])], rk.binomial(tensor.shape(x))) - print "RK", rk.value + print("RK", rk.value) f['rk'] = 9873456 - print "RK", rk.value + print("RK", rkRefactoringTool: Refactored ./theano/tensor/deprecated/rmodule.py RefactoringTool: No changes to ./theano/tensor/blas_scipy.py RefactoringTool: No changes to ./theano/tensor/blas_headers.py RefactoringTool: No changes to ./theano/tensor/blas_c.py RefactoringTool: Refactored ./theano/tensor/blas.py .value) - rvals = [f([1,2,3,4,6, 7, 8]) for i in xrange(5)] - print rvals - for i in xrange(5-1): - for j in xrange(i+1, 5): + rvals = [f([1,2,3,4,6, 7, 8]) for i in range(5)] + print(rvals) + for i in range(5-1): + for j in range(i+1, 5): assert not N.all(rvals[i] == rvals[j]) def test_B(self): @@ -64,9 +64,9 @@ "0.054382248842 0.563459168529 0.192757276954 0.360455221883 0.174805216702", "0.961942907777 0.49657319422 0.0316111492826 0.0915054717012 0.195877184515"] - for i in xrange(5): + for i in range(5): s = " ".join([str(n) for n in m.f(N.ones(5))]) - print s + print(s) assert s == rvals[i] if __name__ == '__main__': --- ./theano/tensor/deprecated/rmodule.py (original) +++ ./theano/tensor/deprecated/rmodule.py (refactored) @@ -58,7 +58,7 @@ def distribute(self, value, indices, containers): rg = partial(numpy.random.RandomState(int(value)).randint, 2**30) - elems = deque(zip(indices, containers)) + elems = deque(list(zip(indices, containers))) i = 0 while elems: index, container = elems.popleft() @@ -119,7 +119,7 @@ # situation it will reseed all the rngs using the containers # associated to them. c._rkit.kit.distribute(seedgen.random_integers(2**30), - xrange(len(inst2._rkit)), inst2._rkit) + range(len(inst2._rkit)), inst2._rkit) else: - self._rkit.kit.distribute(seedgen.random_integers(2**30), xrange(len(inst._rkit)), inst._rkit) + self._rkit.kit.distribute(seedgen.random_integers(2**30), range(len(inst._rkit)), inst._rkit) --- ./theano/tensor/blas.py (original) +++ ./theano/tensor/blas.py (refactored) @@ -133,6 +133,7 @@ import numpy import numpy.distutils import numpy.distutils.system_info +from functools import reduce try: import numpy.distutils.__config__ except ImportError: @@ -305,7 +306,7 @@ numpy.dtype('complex64'): fblas.cgemv, numpy.dtype('complex128'): fblas.zgemv, } -except ImportError, e: +except ImportError as e: have_fblas = False # This is used in Gemv and ScipyGer. We use CGemv and CGer # when theano.config.blas.ldflags is defined. So we don't need a @@ -913,7 +914,7 @@ return dict(inplace=self.inplace) def make_node(self, *inputs): - inputs = map(T.as_tensor_variable, inputs) + inputs = list(map(T.as_tensor_variable, inputs)) if len(inputs) != 5: raise TypeError( "Wrong number of inputs for %s (expected 5, got %s)" % @@ -923,7 +924,7 @@ # For the consistency check we don't want z to be a cached constant. if getattr(z, 'cached', False): z = copy.copy(z) - zr, xr, yr = [set(view_roots(i)) for i in z, x, y] + zr, xr, yr = [set(view_roots(i)) for i in (z, x, y)] # We want the gemm to be inplace. When this op is inplace, it # declare to be inplace only on z. So to make it safe, we @@ -1399,10 +1400,10 @@ lst = lst2 # Try every pair in the sM_list, trying to turn it into a gemm operation - for i in xrange(len(lst) - 1): + for i in range(len(lst) - 1): s_i, M_i = lst[i] - for j in xrange(i + 1, len(lst)): + for j in range(i + 1, len(lst)): s_j, M_j = lst[j] if M_i.type != M_j.type: @@ -1515,7 +1516,7 @@ time_canonicalize += time1 time_factor_can += time2 time_factor_list += time3 - except InconsistencyError, e: + except InconsistencyError as e: nb_inconsistency_make += 1 RefactoringTool: Refactored ./theano/tensor/basic.py continue if new_outputs: @@ -1523,7 +1524,7 @@ assert len(new_outputs) == len(node.outputs) try: fgraph.replace_all_validate_remove( - zip(node.outputs, new_outputs), + list(zip(node.outputs, new_outputs)), [old_dot22], reason='GemmOptimizer', #For now we disable the warning as we know case @@ -1532,11 +1533,11 @@ ) did_something = True nb_replacement += 1 - except InconsistencyError, e: + except InconsistencyError as e: # TODO: retry other applications of gemm (see comment # in _gemm_from_node) nb_inconsistency_replace += 1 - except ReplacementDidntRemovedError, e: + except ReplacementDidntRemovedError as e: nb_replacement_didn_t_remove += 1 self.warned = True nb_iter += 1 @@ -1549,16 +1550,16 @@ def print_profile(stream, prof, level=0): blanc = (' ' * level) #1946.912556s - ('gemm_optimizer', 'GemmOptimizer', 1) - print >> stream, blanc, "GemmOptimizer" - print >> stream, blanc, " nb_iter", prof[1] - print >> stream, blanc, " nb_replacement", prof[2] - print >> stream, blanc, " nb_replacement_didn_t_remove", prof[3] - print >> stream, blanc, " nb_inconsistency_make", prof[4] - print >> stream, blanc, " nb_inconsistency_replace", prof[5] - print >> stream, blanc, " time_canonicalize", prof[6] - print >> stream, blanc, " time_factor_can", prof[7] - print >> stream, blanc, " time_factor_list", prof[8] - print >> stream, blanc, " time_toposort", prof[9] + print(blanc, "GemmOptimizer", file=stream) + print(blanc, " nb_iter", prof[1], file=stream) + print(blanc, " nb_replacement", prof[2], file=stream) + print(blanc, " nb_replacement_didn_t_remove", prof[3], file=stream) + print(blanc, " nb_inconsistency_make", prof[4], file=stream) + print(blanc, " nb_inconsistency_replace", prof[5], file=stream) + print(blanc, " time_canonicalize", prof[6], file=stream) + print(blanc, " time_factor_can", prof[7], file=stream) + print(blanc, " time_factor_list", prof[8], file=stream) + print(blanc, " time_toposort", prof[9], file=stream) class Dot22(GemmRelated): @@ -1582,7 +1583,7 @@ z, = out try: z[0] = numpy.asarray(numpy.dot(x, y)) - except ValueError, e: + except ValueError as e: # The error raised by numpy has no shape information, we mean to # add that e.args = e.args + (x.shape, y.shape) @@ -1855,7 +1856,7 @@ z, = out try: z[0] = numpy.asarray(scalar * numpy.dot(x, y)) - except ValueError, e: + except ValueError as e: # The error raised by numpy has no shape information, we # mean to add that e.args = e.args + (x.shape, y.shape) --- ./theano/tensor/basic.py (original) +++ ./theano/tensor/basic.py (refactored) @@ -4,7 +4,7 @@ import sys import warnings -from itertools import izip + import numpy from copy import copy as python_copy @@ -43,13 +43,13 @@ python_all = all # Define common subsets of dtypes (as strings). -complex_dtypes = map(str, scal.complex_types) -continuous_dtypes = map(str, scal.continuous_types) -float_dtypes = map(str, scal.float_types) -discrete_dtypes = map(str, scal.discrete_types) -all_dtypes = map(str, scal.all_types) -int_dtypes = map(str, scal.int_types) -uint_dtypes = map(str, scal.uint_types) +complex_dtypes = list(map(str, scal.complex_types)) +continuous_dtypes = list(map(str, scal.continuous_types)) +float_dtypes = list(map(str, scal.float_types)) +discrete_dtypes = list(map(str, scal.discrete_types)) +all_dtypes = list(map(str, scal.all_types)) +int_dtypes = list(map(str, scal.int_types)) +uint_dtypes = list(map(str, scal.uint_types)) class ShapeError(Exception): @@ -68,7 +68,7 @@ elif (isinstance(x, numpy.random.RandomState) and isinstance(y, numpy.random.RandomState)): return python_all(numpy.all(a == b) for a, b in - izip(x.__getstate__(), y.__getstate__())) + zip(x.__getstate__(), y.__getstate__())) else: return x == y @@ -343,7 +343,7 @@ x_ = autocast_int(x) elif rtype is TensorConstant and isinstance(x, float): x_ = autocast_float(x) - elif rtype is TensorConstant and isinstance(x, long): + elif rtype is TensorConstant and isinstance(x, int): # We need to address the case where a long number is used in a # Theano graph, because on Windows 64, all shapes are expressed # with longs. @@ -624,7 +624,7 @@ v.owner.inputs[0].owner.inputs) and len(v.owner.op.idx_list) == 1 and #idx_list can contain Scalar Type object. - isinstance(v.owner.op.idx_list[0], (int, long, + isinstance(v.owner.op.idx_list[0], (int, numpy.integer))): # Python 2.4 does not support indexing with numpy.integer @@ -680,7 +680,7 @@ if names == 1: return f() else: - return [f() for i in xrange(names[0])] + return [f() for i in range(names[0])] if isinstance(names, tuple): if len(names) == 1: names = names[0] @@ -1264,7 +1264,7 @@ def infer_shape(self, node, shapes): xshape, sshape = shapes new_shape = [] - for dim in xrange(node.inputs[0].ndim): + for dim in range(node.inputs[0].ndim): try: s = get_scalar_constant_value(node.inputs[1][dim]) s = as_tensor_variable(s) @@ -1368,9 +1368,9 @@ if axis[idx] < 0: axis[idx] += x.type.ndim axis.sort() - if axis == range(-x.type.ndim, 0, 1): - axis = range(x.type.ndim) - assert axis == range(x.type.ndim), ( + if axis == list(range(-x.type.ndim, 0, 1)): + axis = list(range(x.type.ndim)) + assert axis == list(range(x.type.ndim)), ( "MaxAndArgmax does not support multiple" " axes. the max fct supports it.") elif isinstance(axis, Variable): @@ -1388,7 +1388,7 @@ raise ValueError('axis out of range') axis[id] = x.type.ndim + a if axis is None: - axis = _as_tensor_variable(range(x.type.ndim)) + axis = _as_tensor_variable(list(range(x.type.ndim))) else: axis = _as_tensor_variable(axis) @@ -1413,7 +1413,7 @@ def perform(self, node, inp, outs): x, axis = inp max, max_idx = outs - if python_all(axis == range(x.ndim)): + if python_all(axis == list(range(x.ndim))): axis = None max[0] = theano._asarray(numpy.max(x, axis), dtype=node.outputs[0].dtype) @@ -1422,7 +1422,7 @@ def infer_shape(self, node, shapes): ishape, axis_shape = shapes axis = node.inputs[1] - if python_all(axis.data == range(node.inputs[0].ndim)): + if python_all(axis.data == list(range(node.inputs[0].ndim))): return [(), ()] rval = tuple([ishape[i] for (i, b) in enumerate( node.inputs[0].type.broadcastable) if i != axis.data]) @@ -1485,7 +1485,7 @@ # Raise the g_max and xmax to the same number of dim as the input. pattern = [] out_dim = 0 - if python_all(axis.data == range(x.ndim)): + if python_all(axis.data == list(range(x.ndim))): # We are taking the max/argmax over all dimensions. axis = None for i in range(x.ndim): @@ -1518,7 +1518,7 @@ y = as_tensor_variable(y) if axis is None: - axis = range(x.type.ndim) + axis = list(range(x.type.ndim)) elif isinstance(axis, (int, numpy.integer)): axis = [axis] elif isinstance(axis, numpy.ndarray) and axis.ndim == 0: @@ -2194,7 +2194,7 @@ return matrix_result else: if a.ndim > 0: - tuple_result = tuple([matrix_result[i] for i in xrange(a.ndim)]) + tuple_result = tuple([matrix_result[i] for i in range(a.ndim)]) else: tuple_result = tuple([matrix_result[0]]) return tuple_result @@ -2287,7 +2287,7 @@ return [out_shape] def grad(self, inp, grads): - return [grad_undefined(self, i, inp[i]) for i in xrange(3)] + return [grad_undefined(self, i, inp[i]) for i in range(3)] def __eq__(self, other): return type(self) == type(other) and self.dtype == other.dtype @@ -2396,7 +2396,7 @@ return [out_shape] def grad(self, inp, grads): - return [grad_undefined(self, i, inp[i]) for i in xrange(3)] + return [grad_undefined(self, i, inp[i]) for i in range(3)] def __eq__(self, other): return type(self) == type(other) and self.dtype == other.dtype @@ -2567,7 +2567,7 @@ gz = grads[0] n_axes_to_sum = gz.ndim - x.ndim #The number of dimensions added - axis = range(n_axes_to_sum) + axis = list(range(n_axes_to_sum)) #The broadcasted dimensions axis_broadcasted = [] for i, (ib, gb) in enumerate( @@ -2631,11 +2631,11 @@ # If the output is a constant, it will have to be deepcopied # each time the function is called. So we do not fold. return False - elif (not isinstance(client[0], basestring) + elif (not isinstance(client[0], str) and isinstance(client[0].op, ( theano.tensor.subtensor.IncSubtensor, theano.tensor.subtensor.AdvancedIncSubtensor1, - theano.tensor.subtensor.AdvancedIncSubtensor, + theano.tensor.subtensor.AdvancedIncSubtensor ))): return False return True @@ -2811,7 +2811,7 @@ shp = cast(shp, 'float64') if axis is None: - axis = range(input.ndim) + axis = list(range(input.ndim)) elif isinstance(axis, (int, numpy.integer)): axis = [axis] elif isinstance(axis, numpy.ndarray) and axis.ndim == 0: @@ -2847,7 +2847,7 @@ input_ndim = input.type.ndim if axis is None: - axis = range(input_ndim) + axis = list(range(input_ndim)) elif isinstance(axis, (int, numpy.integer)): axis = [axis] elif isinstance(axis, numpy.ndarray) and axis.ndim == 0: @@ -3080,9 +3080,9 @@ """ if axes is None: - axes = range((x.ndim - 1), -1, -1) + axes = list(range((x.ndim - 1), -1, -1)) ret = DimShuffle(x.broadcastable, axes, inplace=False)(x) - if x.name and axes == range((x.ndim - 1), -1, -1): + if x.name and axes == list(range((x.ndim - 1), -1, -1)): ret.name = x.name + '.T' return ret @@ -3172,7 +3172,7 @@ # x = unbroadcast(x, *range(x.type.ndim)) inputs = [x, axis, splits] - outputs = [x.type() for i in xrange(self.len_splits)] + outputs = [x.type() for i in range(self.len_splits)] return Apply(self, inputs, outputs) @@ -3205,7 +3205,7 @@ general_key = [slice(None, None, None) for s in x.shape] lower_idx = 0 - for i in xrange(self.len_splits): + for i in range(self.len_splits): upper_idx = lower_idx + splits[i] general_key[axis] = slice(lower_idx, upper_idx, None) outputs[i][0] = x.__getitem__(general_key).copy() @@ -3251,7 +3251,7 @@ def __init__(self, *axis): self.axis = dict(axis) - for axis, broad in self.axis.iteritems(): + for axis, broad in self.axis.items(): assert isinstance(axis, (numpy.integer, int)), ( "Rebroadcast need integers axis. Got ", axis) @@ -3259,7 +3259,7 @@ return type(self) == type(other) and self.axis == other.axis def __hash__(self): - items = self.axis.items() + items = list(self.axis.items()) items.sort() # no ambiguity because each item key is unique return hash(type(self)) ^ hash(tuple(items)) @@ -3268,14 +3268,14 @@ broadcast_pattern = [] else: broadcast_pattern = ['?' for i - in xrange(1 + numpy.max(self.axis.keys()))] - for k, v in self.axis.iteritems(): + in range(1 + numpy.max(list(self.axis.keys())))] + for k, v in self.axis.items(): broadcast_pattern[k] = str(int(v)) return '%s{%s}' % (self.__class__.__name__, ','.join(broadcast_pattern)) def make_node(self, x): - if self.axis.keys() and (x.ndim <= numpy.max(self.axis.keys())): + if list(self.axis.keys()) and (x.ndim <= numpy.max(list(self.axis.keys()))): raise ValueError('Trying to rebroadcast nonexistant dimension') t = x.type.__class__(dtype=x.type.dtype, broadcastable=[self.axis.get(i, b) @@ -3286,7 +3286,7 @@ def perform(self, node, inp, out_): x, = inp out, = out_ - for axis, value in self.axis.iteritems(): + for axis, value in self.axis.items(): if value and x.shape[axis] != 1: raise ValueError('Dimension %s in Rebroadcast\'s input was' ' supposed to be 1 (got %s instead)' % @@ -3298,13 +3298,13 @@ gz, = grads # restore the broadcasting pattern of the input return Rebroadcast(*[(axis, x.type.broadcastable[axis]) - for axis, value in self.axis.iteritems()])(gz), + for axis, value in self.axis.items()])(gz), def infer_shape(self, node, ishapes): assert len(ishapes) == 1 l = [] one = constant(1) - for ax in xrange(len(ishapes[0])): + for ax in range(len(ishapes[0])): if self.axis.get(ax, False): l.append(one) else: @@ -3348,7 +3348,7 @@ optimization. """ rval = Rebroadcast(*[(i, broadcastable[i]) - for i in xrange(len(broadcastable))])(x) + for i in range(len(broadcastable))])(x) return theano.tensor.opt.apply_rebroadcast_opt(rval) @@ -3462,7 +3462,7 @@ else: # These unbroadcasts are for the gradient... not sure exactly # why... - as_tensor_variable_args = [unbroadcast(x, *range(x.type.ndim)) + as_tensor_variable_args = [unbroadcast(x, *list(range(x.type.ndim))) for x in as_tensor_variable_args] # When the axis may vary, no dimension can be guaranteed to be # broadcastable. @@ -3530,7 +3530,7 @@ assert len(shape) == n_dim out_shapes = [] - for dim in xrange(n_dim): + for dim in range(n_dim): # we have to deal with 2 possible cases in here : # a) we are dealing with the dimension for which we join # (called t_side from true side of the if, where the if @@ -3632,7 +3632,7 @@ """ _t = as_tensor_variable(t) - pattern = ['x'] * n_ones + [i for i in xrange(_t.type.ndim)] + pattern = ['x'] * n_ones + [i for i in range(_t.type.ndim)] return DimShuffle(_t.broadcastable, pattern)(_t) @@ -3644,7 +3644,7 @@ """ _t = as_tensor_variable(t) - pattern = [i for i in xrange(_t.type.ndim)] + ['x'] * n_ones + pattern = [i for i in range(_t.type.ndim)] + ['x'] * n_ones return DimShuffle(_t.broadcastable, pattern)(_t) @@ -3669,14 +3669,13 @@ # See ticket #660 if numpy.all([ # in case there is direct int in tensors. - isinstance(t, (numpy.number, float, int, python_complex, - long)) or + isinstance(t, (numpy.number, float, int, python_complex)) or (isinstance(t, Variable) and isinstance(t.type, TensorType) and t.ndim == 0) for t in tensors]): # in case there is direct int - tensors = map(as_tensor_variable, tensors) + tensors = list(map(as_tensor_variable, tensors)) dtype = scal.upcast(*[i.dtype for i in tensors]) return theano.tensor.opt.MakeVector(dtype)(*tensors) return join(0, *[shape_padleft(t, 1) for t in tensors]) @@ -3799,7 +3798,7 @@ shp_list = shp_orig if hasattr(shp_orig, "ndim") and shp_orig.ndim == 0: shp_list = [shp_orig] - for index in xrange(self.ndim): + for index in range(self.ndim): y = shp_list[index] y = as_tensor_variable(y) # Try to see if we can infer that y has a constant value of 1. @@ -3886,7 +3885,7 @@ return [requ] else: oshape = [] - for i in xrange(self.ndim): + for i in range(self.ndim): default_os_i = theano.tensor.opt.Shape_i(i)(node.outputs[0]) try: os_i = get_scalar_constant_value(node.inputs[1][i]).item() @@ -4173,7 +4172,7 @@ return self.__class__.__name__ def make_node(self, start, stop, step): - start, stop, step = map(as_tensor_variable, (start, stop, step)) + start, stop, step = list(map(as_tensor_variable, (start, stop, step))) assert start.ndim == 0 assert stop.ndim == 0 assert step.ndim == 0 @@ -4237,7 +4236,7 @@ if stop is None: start, stop = 0, start - start, stop, step = map(as_tensor_variable, (start, stop, step)) + start, stop, step = list(map(as_tensor_variable, (start, stop, step))) # If dtype is not provided, infer it from the other arguments if dtype is None: dtype = scal.upcast(start.type.dtype, stop.type.dtype, step.type.dtype) @@ -4324,7 +4323,7 @@ # Compute the broadcastable pattern of the output out_broadcastable = [xb and yb for xb, yb in - izip(x.type.broadcastable, y.type.broadcastable)] + zip(x.type.broadcastable, y.type.broadcastable)] out_type = tensor(dtype=x.type.dtype, broadcastable=out_broadcastable) inputlist = [x, y, inverse] @@ -4366,17 +4365,17 @@ xs0 = x.shape[0] ys0 = y.shape[0] if xs0 == ys0: - for i in xrange(xs0): + for i in range(xs0): self._rec_perform(node, x[i], y[i], inverse, out[i], curdim + 1) elif ys0 == 1 and node.inputs[1].type.broadcastable[curdim]: # Broadcast y - for i in xrange(xs0): + for i in range(xs0): self._rec_perform(node, x[i], y[0], inverse, out[i], curdim + 1) elif xs0 == 1 and node.inputs[0].type.broadcastable[curdim]: # Broadcast x - for i in xrange(ys0): + for i in range(ys0): self._rec_perform(node, x[0], y[i], inverse, out[i], curdim + 1) else: @@ -4391,7 +4390,7 @@ # Make sure the output is big enough out_s = [] - for xdim, ydim in izip(x_s, y_s): + for xdim, ydim in zip(x_s, y_s): if xdim == ydim: RefactoringTool: No changes to ./theano/tensor/__init__.py RefactoringTool: Refactored ./theano/sparse/type.py outdim = xdim elif xdim == 1: @@ -4427,7 +4426,7 @@ # If x has been broadcasted along some axes, we need to sum # the gradient over these axes, but keep the dimension (as # broadcastable) - broadcasted_dims = [dim for dim in xrange(gz.type.ndim) + broadcasted_dims = [dim for dim in range(gz.type.ndim) if x.type.broadcastable[dim] and not gz.type.broadcastable[dim]] gx = Sum(axis=broadcasted_dims)(gx) @@ -4436,7 +4435,7 @@ # so we need to put them back. newdims = [] i = 0 - for dim in xrange(gz.type.ndim): + for dim in range(gz.type.ndim): if dim in broadcasted_dims: newdims.append('x') else: @@ -4514,7 +4513,7 @@ # graph. See Dot22 in tensor.blas for details. def make_node(self, *inputs): - inputs = map(as_tensor_variable, inputs) + inputs = list(map(as_tensor_variable, inputs)) if len(inputs) != 2: raise TypeError( @@ -4639,7 +4638,7 @@ input_values = [iv0, iv1] eval_point_values = [ev0, ev1] - for i in xrange(2): + for i in range(2): if eval_point_values[i] is not None and \ input_values[i].shape != eval_point_values[i].shape: raise ValueError('input ' + str(i) + ' and eval_point ' + @@ -4912,10 +4911,10 @@ 'equal to b.ndim (b.ndim=%i, max(axes[1])=%i).' % (b.ndim, numpy.max(numpy.array(b_axes)))) - a_order = (tuple(x for x in tuple(xrange(a.ndim)) if x not in a_axes) + a_order = (tuple(x for x in tuple(range(a.ndim)) if x not in a_axes) + a_axes) b_order = (b_axes - + tuple(x for x in tuple(xrange(b.ndim)) if x not in b_axes)) + + tuple(x for x in tuple(range(b.ndim)) if x not in b_axes)) a_shuffled = a.dimshuffle(a_order) b_shuffled = b.dimshuffle(b_order) @@ -4983,10 +4982,14 @@ return Apply(self, [x], [tensor(dtype=x.dtype, broadcastable=[False] * (x.ndim - 1))]) - def perform(self, node, (x,), (z,)): + def perform(self, node, xxx_todo_changeme, xxx_todo_changeme1): + (x,) = xxx_todo_changeme + (z,) = xxx_todo_changeme1 z[0] = x.diagonal(self.offset, self.axis1, self.axis2) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme2, xxx_todo_changeme3): + (x,) = xxx_todo_changeme2 + (gz,) = xxx_todo_changeme3 return [grad_not_implemented(self, 0, x)] def infer_shape(self, node, shapes): @@ -5032,10 +5035,12 @@ return Apply(self, [diag], [matrix(dtype=diag.dtype)]) - def perform(self, node, inputs, (z,)): + def perform(self, node, inputs, xxx_todo_changeme4): + (z,) = xxx_todo_changeme4 z[0] = numpy.diag(inputs[0]) - def grad(self, inputs, (gz,)): + def grad(self, inputs, xxx_todo_changeme5): + (gz,) = xxx_todo_changeme5 return [diagonal(gz)] def infer_shape(self, nodes, shapes): @@ -5082,6 +5087,6 @@ (2, 2, 4, 4) """ if isinstance(arg, (tuple, list)): - return stack(*map(stacklists, arg)) + return stack(*list(map(stacklists, arg))) else: return arg --- ./theano/sparse/type.py (original) +++ ./theano/sparse/type.py (refactored) @@ -60,12 +60,12 @@ raise NotImplementedError('unsupported dtype "%s" not in list' % dtype, list(self.dtype_set)) - assert isinstance(format, basestring) + assert isinstance(format, str) if format in self.format_cls: self.format = format else: raise NotImplementedError('unsupported format "%s" not in list' % - format, self.format_cls.keys()) + format, list(sRefactoringTool: No changes to ./theano/sparse/tests/test_utils.py RefactoringTool: No changes to ./theano/sparse/tests/test_sp2.py RefactoringTool: No changes to ./theano/sparse/tests/test_opt.py RefactoringTool: Refactored ./theano/sparse/tests/test_basic.py RefactoringTool: No changes to ./theano/sparse/sharedvar.py RefactoringTool: Refactored ./theano/sparse/sandbox/test_sp.py elf.format_cls.keys())) def filter(self, value, strict=False, allow_downcast=None): if isinstance(value, self.format_cls[self.format])\ --- ./theano/sparse/tests/test_basic.py (original) +++ ./theano/sparse/tests/test_basic.py (refactored) @@ -148,7 +148,7 @@ if unsorted_indices: for idx in range(n): d = data[idx] - d = d[range(d.shape[0])] + d = d[list(range(d.shape[0]))] assert not d.has_sorted_indices data[idx] = d if explicit_zero: @@ -184,11 +184,15 @@ x = as_sparse_variable(x) return gof.Apply(self, [x], [x.type()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme, xxx_todo_changeme1): + (x, ) = xxx_todo_changeme + (out, ) = xxx_todo_changeme1 assert _is_sparse(x) out[0] = -x - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme2, xxx_todo_changeme3): + (x,) = xxx_todo_changeme2 + (gz,) = xxx_todo_changeme3 assert _is_sparse_variable(x) and _is_sparse_variable(gz) if self.structured: return sp_ones_like(x) * dense_from_sparse(gz), @@ -1052,7 +1056,7 @@ mat = numpy.asarray(numpy.random.randn(N, K), dense_dtype) theano_times = [] scipy_times = [] - for i in xrange(5): + for i in range(5): t0 = time.time() theano_result = f(spmat, mat) t1 = time.time() @@ -1777,7 +1781,7 @@ def test_op(self): for format in sparse.sparse_formats: - for shape in zip(range(5, 9), range(3, 7)[::-1]): + for shape in zip(list(range(5, 9)), list(range(3, 7))[::-1]): variable, data = sparse_random_inputs(format, shape=shape) f = theano.function(variable, self.op(*variable)) @@ -1788,7 +1792,7 @@ def test_infer_shape(self): for format in sparse.sparse_formats: - for shape in zip(range(5, 9), range(3, 7)[::-1]): + for shape in zip(list(range(5, 9)), list(range(3, 7))[::-1]): variable, data = sparse_random_inputs(format, shape=shape) self._compile_and_check(variable, [self.op(*variable)], @@ -1797,7 +1801,7 @@ def test_grad(self): for format in sparse.sparse_formats: - for shape in zip(range(5, 9), range(3, 7)[::-1]): + for shape in zip(list(range(5, 9)), list(range(3, 7))[::-1]): variable, data = sparse_random_inputs(format, shape=shape) verify_grad_sparse( self.op, @@ -1812,7 +1816,7 @@ def test_op(self): for format in sparse.sparse_formats: - for shape in zip(range(5, 9), range(3, 7)[::-1]): + for shape in zip(list(range(5, 9)), list(range(3, 7))[::-1]): variable, data = sparse_random_inputs(format, shape=shape) data[0][0, 0] = data[0][1, 1] = 0 @@ -1831,7 +1835,7 @@ def test_grad(self): for format in sparse.sparse_formats: - for shape in zip(range(5, 9), range(3, 7)[::-1]): + for shape in zip(list(range(5, 9)), list(range(3, 7))[::-1]): variable, data = sparse_random_inputs(format, shape=shape) verify_grad_sparse( self.op, --- ./theano/sparse/sandbox/test_sp.py (original) +++ ./theano/sparse/sandbox/test_sp.py (refactored) @@ -178,11 +178,11 @@ ntime1 = time.time() refout = numpy.zeros((bsize,nkern,outshp[1],outshp[2])) patch = numpy.zeros((kshp[0],kshp[1])) - for b in xrange(bsize): - for k in xrange(nkern): + for b in range(bsize): + for k in range(nkern): pixi = 0 # pixel index in raster order - RefactoringTool: Refactored ./theano/sparse/sandbox/sp2.py RefactoringTool: Refactored ./theano/sparse/sandbox/sp.py for j in xrange(outshp[1]): - for i in xrange(outshp[2]): + for j in range(outshp[1]): + for i in range(outshp[2]): n = j * ss[0] m = i * ss[1] patch = zeropad_img[b,n:n+kshp[0],m:m+kshp[1]] --- ./theano/sparse/sandbox/sp2.py (original) +++ ./theano/sparse/sandbox/sp2.py (refactored) @@ -70,7 +70,9 @@ x = as_sparse_variable(x) return gof.Apply(self, [x], [x.type()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme, xxx_todo_changeme1): + (x, ) = xxx_todo_changeme + (out, ) = xxx_todo_changeme1 assert _is_sparse(x) out[0] = x.copy() out[0].data = numpy.asarray(numpy.random.poisson(out[0].data), @@ -124,12 +126,16 @@ return gof.Apply(self, [n, p, shape], [SparseType(dtype=self.dtype, format=self.format).make_variable()]) - def perform(self, node, (n, p, shape, ), (out, )): + def perform(self, node, xxx_todo_changeme2, xxx_todo_changeme3): + (n, p, shape, ) = xxx_todo_changeme2 + (out, ) = xxx_todo_changeme3 binomial = numpy.random.binomial(n, p, size=shape) csx_matrix = getattr(scipy.sparse, self.format + '_matrix') out[0] = csx_matrix(binomial, dtype=self.dtype) - def grad(self, (n, p, shape, ), (gz,)): + def grad(self, xxx_todo_changeme4, xxx_todo_changeme5): + (n, p, shape, ) = xxx_todo_changeme4 + (gz,) = xxx_todo_changeme5 return None, None, None def infer_shape(self, node, ins_shapes): @@ -178,7 +184,9 @@ return gof.Apply(self, [n, p], [p.type()]) - def perform(self, node, (n, p), (out, )): + def perform(self, node, xxx_todo_changeme6, xxx_todo_changeme7): + (n, p) = xxx_todo_changeme6 + (out, ) = xxx_todo_changeme7 assert _is_sparse(p) if p.format != 'csr': @@ -187,14 +195,14 @@ out[0] = p.copy() if n.ndim == 0: - for i in xrange(p.shape[0]): + for i in range(p.shape[0]): k, l = p.indptr[i], p.indptr[i + 1] out[0].data[k:l] = numpy.random.multinomial(n, p.data[k:l]) elif n.ndim == 1: if n.shape[0] != p.shape[0]: raise ValueError('The number of element of n must be ' 'the same as the number of row of p.') - for i in xrange(p.shape[0]): + for i in range(p.shape[0]): k, l = p.indptr[i], p.indptr[i + 1] out[0].data[k:l] = numpy.random.multinomial(n[i], p.data[k:l]) --- ./theano/sparse/sandbox/sp.py (original) +++ ./theano/sparse/sandbox/sp.py (refactored) @@ -43,18 +43,20 @@ """ @staticmethod - def sparse_eval(inshp, kshp, nkern, (dx, dy)=(1, 1), mode='valid'): + def sparse_eval(inshp, kshp, nkern, xxx_todo_changeme=(1, 1), mode='valid'): + (dx, dy) = xxx_todo_changeme return convolution_indices.evaluate(inshp, kshp, (dx, dy), nkern, mode=mode, ws=False) @staticmethod - def conv_eval(inshp, kshp, (dx, dy)=(1, 1), mode='valid'): + def conv_eval(inshp, kshp, xxx_todo_changeme1=(1, 1), mode='valid'): + (dx, dy) = xxx_todo_changeme1 return convolution_indices.evaluate(inshp, kshp, (dx, dy), mode=mode, ws=True) # img_shape and ker_shape are (height,width) @staticmethod - def evaluate(inshp, kshp, (dx, dy)=(1, 1), nkern=1, mode='valid', ws=True): + def evaluate(inshp, kshp, xxx_todo_changeme2=(1, 1), nkern=1, mode='valid', ws=True): """Build a sparse matrix which can be used for performing... * convolution: in this case, the dot product of this matrix with the input images will generate a stack of images @@ -80,6 +82,7 @@ :reRefactoringTool: Refactored ./theano/sparse/opt.py turns: the structure of a sparse matrix, and the logical dimensions of the image which will be the result of filtering. """ + (dx, dy) = xxx_todo_changeme2 N = numpy # inshp contains either 2 entries (height,width) or 3 (nfeatures,h,w) @@ -145,9 +148,9 @@ # values (order in which you write the values determines how # the vectorized data will get used later one) - for fmapi in xrange(inshp[0]): # loop over input features + for fmapi in range(inshp[0]): # loop over input features # loop over number of kernels (nkern=1 for weight sharing) - for n in xrange(nkern): + for n in range(nkern): # FOR EACH OUTPUT PIXEL... # loop over output image height @@ -230,8 +233,8 @@ kmap = N.zeros(ntaps, dtype='int') k = 0 #print 'TEMPORARY BUGFIX: REMOVE !!!' - for j in xrange(spmat.shape[1]): - for i_idx in xrange(spmat.indptr[j], spmat.indptr[j + 1]): + for j in range(spmat.shape[1]): + for i_idx in range(spmat.indptr[j], spmat.indptr[j + 1]): if spmat.data[i_idx] != 0: # this is == spmat[i,j] - 1 kmap[k] = spmat.data[i_idx] - 1 @@ -252,8 +255,9 @@ return rval - def perform(self, node, (inshp, kshp),\ - (out_indices, out_indptr, spmat_shape)): + def perform(self, node, xxx_todo_changeme3, xxx_todo_changeme4): + (inshp, kshp) = xxx_todo_changeme3 + (out_indices, out_indptr, spmat_shape) = xxx_todo_changeme4 indices, indptr, spmatshp, outshp = self.evaluate(inshp, kshp) out_indices[0] = indices out_indptr[0] = indptr --- ./theano/sparse/opt.py (original) +++ ./theano/sparse/opt.py (refactored) @@ -1,4 +1,4 @@ -from itertools import izip + import numpy import scipy @@ -24,7 +24,7 @@ # csm.owner.inputs could be broadcastable. In that case, we have # to adjust the broadcasting flag here. ret_var = [theano.tensor.patternbroadcast(i, o.broadcastable) - for i, o in izip(csm.owner.inputs, node.outputs)] + for i, o in zip(csm.owner.inputs, node.outputs)] return ret_var return False @@ -105,7 +105,9 @@ [tensor.tensor(dtype_out, (False, b.type.broadcastable[1]))]) return r - def perform(self, node, (a_val, a_ind, a_ptr, a_nrows, b), (out,)): + def perform(self, node, xxx_todo_changeme, xxx_todo_changeme1): + (a_val, a_ind, a_ptr, a_nrows, b) = xxx_todo_changeme + (out,) = xxx_todo_changeme1 a = scipy.sparse.csc_matrix((a_val, a_ind, a_ptr), (a_nrows, b.shape[0]), copy=False) @@ -113,7 +115,7 @@ out[0] = theano._asarray(a * b, dtype=node.outputs[0].type.dtype) assert _is_dense(out[0]) # scipy 0.7 automatically converts to dense - def c_code(self, node, name, (a_val, a_ind, a_ptr, a_nrows, b), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme2, xxx_todo_changeme3, sub): # C-implementation of the dot product of the sparse matrix A and matrix # B. # @param a_val: non-zero values of the sparse matrix @@ -127,6 +129,8 @@ # @param sub: TODO, not too sure, something to do with weave probably + (a_val, a_ind, a_ptr, a_nrows, b) = xxx_todo_changeme2 + (z,) = xxx_todo_changeme3 if node.inputs[0].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for a_val') if node.inputs[4].type.dtype in ('complex64', 'complex128'): @@ -296,7 +300,9 @@ b.type.broadcastable[1]))]) return r - def perform(self, node, (a_val, a_ind, a_ptr, b), (out,)): + def perform(self, node, xxx_todo_changeme4, xxx_todo_changeme5): + (a_val, a_ind, a_ptr, b) = xxx_tRefactoringTool: Refactored ./theano/sparse/basic.py odo_changeme4 + (out,) = xxx_todo_changeme5 a = scipy.sparse.csr_matrix((a_val, a_ind, a_ptr), (len(a_ptr) - 1, b.shape[0]), copy=True) # use view_map before setting this to False @@ -305,7 +311,7 @@ # scipy 0.7 automatically converts to dense, but not .6 sometimes assert _is_dense(out[0]) - def c_code(self, node, name, (a_val, a_ind, a_ptr, b), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme6, xxx_todo_changeme7, sub): """ C-implementation of the dot product of the sparse matrix A and matrix B. @@ -319,7 +325,8 @@ @param z: return value @param sub: TODO, not too sure, something to do with weave probably """ - # retrieve dtype number + (a_val, a_ind, a_ptr, b) = xxx_todo_changeme6 + (z,) = xxx_todo_changeme7 typenum_z = tensor.TensorType(self.dtype_out, []).dtype_specs()[2] if node.inputs[0].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for a_val') @@ -760,9 +767,11 @@ return gof.Apply(self, [a_val, a_ind, a_ptr, a_dim, b_val, b_ind, b_ptr, b_dim], [b_val.type()]) - def c_code(self, node, name, (a_val, a_ind, a_ptr, a_dim, - b_val, b_ind, b_ptr, b_dim), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme8, xxx_todo_changeme9, sub): # retrieve dtype number + (a_val, a_ind, a_ptr, a_dim, + b_val, b_ind, b_ptr, b_dim) = xxx_todo_changeme8 + (z,) = xxx_todo_changeme9 typenum_z = node.outputs[0].type.dtype_specs()[2] if node.inputs[0].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for a_val') @@ -917,9 +926,10 @@ #def perform(self, node, (a_data, a_indices, a_indptr, b), (out,)): # return NotImplementedError() - def c_code(self, node, name, (_data, _indices, _indptr, _b,), - (_zout, ), sub): - + def c_code(self, node, name, xxx_todo_changeme10, xxx_todo_changeme11, sub): + + (_data, _indices, _indptr, _b,) = xxx_todo_changeme10 + (_zout, ) = xxx_todo_changeme11 if node.inputs[0].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for a') if node.inputs[3].type.dtype in ('complex64', 'complex128'): @@ -1033,9 +1043,10 @@ #def perform(self, node, (a_data, a_indices, a_indptr, b), (out,)): # return NotImplemented() - def c_code(self, node, name, (_data, _indices, _indptr, _b,), - (_zout, ), sub): - + def c_code(self, node, name, xxx_todo_changeme12, xxx_todo_changeme13, sub): + + (_data, _indices, _indptr, _b,) = xxx_todo_changeme12 + (_zout, ) = xxx_todo_changeme13 if node.inputs[0].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for a') if node.inputs[3].type.dtype in ('complex64', 'complex128'): --- ./theano/sparse/basic.py (original) +++ ./theano/sparse/basic.py (refactored) @@ -485,7 +485,8 @@ return gof.Apply(self, [csm], [data, tensor.ivector(), tensor.ivector(), tensor.ivector()]) - def perform(self, node, (csm,), out): + def perform(self, node, xxx_todo_changeme, out): + (csm,) = xxx_todo_changeme if self.kmap is None: out[0][0] = csm.data else: @@ -498,7 +499,7 @@ out[2][0] = theano._asarray(csm.indptr, dtype='int32') out[3][0] = theano._asarray(csm.shape, dtype='int32') - def grad(self, (csm,), g): + def grad(self, xxx_todo_changeme1, g): # g[1:] is all integers, so their Jacobian in this op # is 0. We thus don't need to worry about what their values @@ -508,6 +509,7 @@ # any gradient anywhere. but we know that at least one of # g[1:] is connected, or this grad method wouldn't have been # called, so we should report zeros + (csm,) = xxx_todo_changeme1 if isinstance(g[0].type, DisconnectedType): return [csm.zeros_like()] @@ -660,8 +662,10 @@ [SparseType(dtype=data.type.dtype, format=self.format).make_variable()]) - def perform(self, node, (data, indices, indptr, shape), (out,)): + def perform(self, node, xxx_todo_changeme2, xxx_todo_changeme3): # for efficiency, if remap does nothing, then do not apply it + (data, indices, indptr, shape) = xxx_todo_changeme2 + (out,) = xxx_todo_changeme3 if self.kmap is not None: data = data[self.kmap] @@ -688,7 +692,9 @@ def connection_pattern(self, node): return [[True], [False], [False], [False]] - def grad(self, (x_data, x_indices, x_indptr, x_shape), (g_out,)): + def grad(self, xxx_todo_changeme4, xxx_todo_changeme5): + (x_data, x_indices, x_indptr, x_shape) = xxx_todo_changeme4 + (g_out,) = xxx_todo_changeme5 g_data, g_indices, g_indptr, g_shape = csm_properties(g_out) # unpack the data vector and wrap it as a 1d TensorType g_data = csm_grad(self.kmap)(x_data, x_indices, x_indptr, x_shape, @@ -746,8 +752,10 @@ return gof.Apply(self, [x_data, x_indices, x_indptr, x_shape, g_data, g_indices, g_indptr, g_shape], [gout_data]) - def perform(self, node, (x_data, x_indices, x_indptr, x_shape, - g_data, g_indices, g_indptr, g_shape), (g_out,)): + def perform(self, node, xxx_todo_changeme6, xxx_todo_changeme7): + (x_data, x_indices, x_indptr, x_shape, + g_data, g_indices, g_indptr, g_shape) = xxx_todo_changeme6 + (g_out,) = xxx_todo_changeme7 if len(x_indptr) - 1 == x_shape[0]: sp_dim = x_shape[1] else: @@ -807,7 +815,9 @@ self, [x], [SparseType(dtype=self.out_type, format=x.format).make_variable()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme8, xxx_todo_changeme9): + (x, ) = xxx_todo_changeme8 + (out, ) = xxx_todo_changeme9 assert _is_sparse(x) out[0] = x.astype(self.out_type) @@ -879,17 +889,21 @@ broadcastable=(False, False) ).make_variable()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme10, xxx_todo_changeme11): + (x, ) = xxx_todo_changeme10 + (out, ) = xxx_todo_changeme11 if _is_dense(x): - print >> sys.stderr, ( + print(( "WARNING: You just called DenseFromSparse on a dense matrix." - ) + ), file=sys.stderr) out[0] = x else: out[0] = x.toarray() assert _is_dense(out[0]) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme12, xxx_todo_changeme13): + (x, ) = xxx_todo_changeme12 + (gz, ) = xxx_todo_changeme13 if self.sparse_grad: left = sp_ones_like(x) right = gz @@ -963,10 +977,14 @@ format=self.format ).make_variable()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme14, xxx_todo_changeme15): + (x, ) = xxx_todo_changeme14 + (out, ) = xxx_todo_changeme15 out[0] = SparseType.format_cls[self.format](x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme16, xxx_todo_changeme17): + (x, ) = xxx_todo_changeme16 + (gz, ) = xxx_todo_changeme17 gx = dense_from_sparse(gz) gx = tensor.patternbroadcast(gx, x.broadcastable) return gx, @@ -1079,7 +1097,9 @@ return gof.Apply(self, input_op, [x.type()]) - def perform(self, node, (x, start1, stop1, start2, stop2), (out, )): + def perform(self, node, xxx_todo_changeme18, xxx_todo_changeme19): + (x, start1, stop1, start2, stop2) = xxx_todo_changeme18 + (out, ) = xxx_todo_changeme19 assert _is_sparse(x) out[0] = x[start1:stop1, start2:stop2] @@ -1137,7 +1157,9 @@ return gof.Apply(self, input_op, [tensor.scalar(dtype=x.dtype)]) - def perform(self, node, (x, ind1, ind2), (out, )): + def perform(self, node, xxx_todo_changeme20, xxx_todo_changeme21): + (x, ind1, ind2) = xxx_todo_changeme20 + (out, ) = xxx_todo_changeme21 assert _is_sparse(x) out[0] = theano._asarray(x[ind1, ind2], x.dtype) @@ -1183,11 +1205,15 @@ format=self.format_map[x.type.format] ).make_variable()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme22, xxx_todo_changeme23): + (x, ) = xxx_todo_changeme22 + (out, ) = xxx_todo_changeme23 assert _is_sparse(x) out[0] = x.transpose() - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme24, xxx_todo_changeme25): + (x,) = xxx_todo_changeme24 + (gz,) = xxx_todo_changeme25 assert _is_sparse_variable(x) and _is_sparse_variable(gz) return transpose(gz), @@ -1219,11 +1245,15 @@ x = as_sparse_variable(x) return gof.Apply(self, [x], [x.type()]) - def perform(self, node, (x, ), (out, )): + def perform(self, node, xxx_todo_changeme26, xxx_todo_changeme27): + (x, ) = xxx_todo_changeme26 + (out, ) = xxx_todo_changeme27 assert _is_sparse(x) out[0] = -x - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme28, xxx_todo_changeme29): + (x,) = xxx_todo_changeme28 + (gz,) = xxx_todo_changeme29 assert _is_sparse_variable(x) and _is_sparse_variable(gz) return -gz, @@ -1257,19 +1287,23 @@ raise ValueError('x was not a csc matrix') return gof.Apply(self, [x, s], [x.type()]) - def perform(self, node, (x, s), (z,)): + def perform(self, node, xxx_todo_changeme30, xxx_todo_changeme31): + (x, s) = xxx_todo_changeme30 + (z,) = xxx_todo_changeme31 M, N = x.shape assert x.format == 'csc' assert s.shape == (N, ) y = x.copy() - for j in xrange(0, N): + for j in range(0, N): y.data[y.indptr[j]: y.indptr[j + 1]] *= s[j] z[0] = y - def grad(self, (x, s), (gz,)): + def grad(self, xxx_todo_changeme32, xxx_todo_changeme33): + (x, s) = xxx_todo_changeme32 + (gz,) = xxx_todo_changeme33 return [col_scale(gz, s), sp_sum(x * gz, axis=0)] def infer_shape(self, node, ins_shapes): @@ -1304,7 +1338,9 @@ def make_node(self, x, s): return gof.Apply(self, [x, s], [x.type()]) - def perform(self, node, (x, s), (z,)): + def perform(self, node, xxx_todo_changeme34, xxx_todo_changeme35): + (x, s) = xxx_todo_changeme34 + (z,) = xxx_todo_changeme35 M, N = x.shape assert x.format == 'csc' assert s.shape == (M, ) @@ -1314,13 +1350,15 @@ y_data = x.data.copy() - for j in xrange(0, N): - for i_idx in xrange(indptr[j], indptr[j + 1]): + for j in range(0, N): + for i_idx in range(indptr[j], indptr[j + 1]): y_data[i_idx] *= s[indices[i_idx]] z[0] = scipy.sparse.csc_matrix((y_data, indices, indptr), (M, N)) - def grad(self, (x, s), (gz,)): + def grad(self, xxx_todo_changeme36, xxx_todo_changeme37): + (x, s) = xxx_todo_changeme36 + (gz,) = xxx_todo_changeme37 return [row_scale(gz, s), sp_sum(x * gz, axis=1)] def infer_shape(self, node, ins_shapes): @@ -1423,13 +1461,17 @@ z = tensor.TensorType(broadcastable=b, dtype=x.dtype)() return gof.Apply(self, [x], [z]) - def perform(self, node, (x,), (z,)): + def perform(self, node, xxx_todo_changeme38, xxx_todo_changeme39): + (x,) = xxx_todo_changeme38 + (z,) = xxx_todo_changeme39 if self.axis == None: z[0] = numpy.asarray(x.sum()) else: z[0] = numpy.asarray(x.sum(self.axis)).ravel() - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme40, xxx_todo_changeme41): + (x,) = xxx_todo_changeme40 + (gz,) = xxx_todo_changeme41 if x.dtype not in continuous_dtypes: return [None] @@ -1500,13 +1542,17 @@ return gof.Apply(self, [x], [tensor.tensor(broadcastable=(False,), dtype=x.dtype)]) - def perform(self, node, (x,), (z,)): + def perform(self, node, xxx_todo_changeme42, xxx_todo_changeme43): + (x,) = xxx_todo_changeme42 + (z,) = xxx_todo_changeme43 N, M = x.shape if N != M: raise ValueError('Diag only apply on square matrix') z[0] = x.diagonal() - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme44, xxx_todo_changeme45): + (x,) = xxx_todo_changeme44 + (gz,) = xxx_todo_changeme45 return [square_diagonal(gz)] def infer_shape(self, nodes, shapes): @@ -1542,18 +1588,20 @@ return gof.Apply(self, [diag], [SparseType(dtype=diag.dtype, format='csc')()]) - def perform(self, node, inputs, (z,)): + def perform(self, node, inputs, xxx_todo_changeme46): + (z,) = xxx_todo_changeme46 diag, o_shape = inputs[0], inputs[0].shape * 2 N = len(diag) data = diag[:N] - indices = range(N) - indptr = range(N + 1) + indices = list(range(N)) + indptr = list(range(N + 1)) tup = (data, indices, indptr) z[0] = scipy.sparse.csc_matrix(tup, copy=True) - def grad(self, inputs, (gz,)): + def grad(self, inputs, xxx_todo_changeme47): + (gz,) = xxx_todo_changeme47 return [diag(gz)] def infer_shape(self, nodes, shapes): @@ -1593,7 +1641,9 @@ def make_node(self, x): return gof.Apply(self, [x], [x.type()]) - def perform(self, node, (x, ), (z, )): + def perform(self, node, xxx_todo_changeme48, xxx_todo_changeme49): + (x, ) = xxx_todo_changeme48 + (z, ) = xxx_todo_changeme49 if self.inplace: z[0] = x.sort_indices() else: @@ -1653,7 +1703,7 @@ return self.__class__.__name__ def make_node(self, x, y): - x, y = map(as_sparse_variable, [x, y]) + x, y = list(map(as_sparse_variable, [x, y])) if x.type.dtype != y.type.dtype: raise NotImplementedError() if x.type.format != y.type.format: @@ -1664,12 +1714,16 @@ format=x.type.format ).make_variable()]) - def perform(self, node, (x, y), (out, )): + def perform(self, node, xxx_todo_changeme50, xxx_todo_changeme51): + (x, y) = xxx_todo_changeme50 + (out, ) = xxx_todo_changeme51 assert _is_sparse(x) and _is_sparse(y) assert x.shape == y.shape out[0] = x + y - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme52, xxx_todo_changeme53): + (x, y) = xxx_todo_changeme52 + (gz,) = xxx_todo_changeme53 assert _is_sparse_variable(x) and _is_sparse_variable(y) assert _is_sparse_variable(gz) return gz, gz @@ -1701,7 +1755,7 @@ return hash(type(self)) def make_node(self, x, y): - x, y = map(as_sparse_variable, [x, y]) + x, y = list(map(as_sparse_variable, [x, y])) if x.type.dtype != y.type.dtype: raise NotImplementedError() if x.type.format != y.type.format: @@ -1711,14 +1765,17 @@ [SparseType(dtype=x.type.dtype, format=x.type.format).make_variable()]) - def perform(self, node, (x, y), (out, )): + def perform(self, node, xxx_todo_changeme54, xxx_todo_changeme55): + (x, y) = xxx_todo_changeme54 + (out, ) = xxx_todo_changeme55 assert _is_sparse(x) and _is_sparse(y) assert x.shape == y.shape assert x.data.shape == y.data.shape out[0] = x.copy() out[0].data += y.data - def grad(self, inputs, (gz, )): + def grad(self, inputs, xxx_todo_changeme56): + (gz, ) = xxx_todo_changeme56 is_continuous = [(i.dtype in continuous_dtypes) for i in inputs] derivative = {True: gz, False: None} @@ -1782,7 +1839,9 @@ broadcastable=y.type.broadcastable ).make_variable()]) - def c_code(self, node, name, (_data, _indices, _indptr, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme57, xxx_todo_changeme58, sub): + (_data, _indices, _indptr, y) = xxx_todo_changeme57 + (z, ) = xxx_todo_changeme58 inplace = int(self.inplace) format = {'csc': 0, 'csr': 1}[self.format] code = """ @@ -1825,7 +1884,9 @@ """ % dict(locals(), **sub) return code - def perform(self, node, (data, indices, indptr, y), (out, )): + def perform(self, node, xxx_todo_changeme59, xxx_todo_changeme60): + (data, indices, indptr, y) = xxx_todo_changeme59 + (out, ) = xxx_todo_changeme60 assert _is_dense(y) if self.format == 'csr': @@ -1837,7 +1898,9 @@ # numpy.matrixlib.defmatrix.matrix object and not an ndarray. out[0] = theano._asarray(x + y, dtype=node.outputs[0].type.dtype) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme61, xxx_todo_changeme62): + (x, y) = xxx_todo_changeme61 + (gz,) = xxx_todo_changeme62 assert _is_sparse_variable(x) and _is_dense_variable(y) assert _is_dense_variable(gz) return sp_ones_like(x) * gz, gz @@ -1884,12 +1947,16 @@ [SparseType(dtype=x.type.dtype, format=x.type.format).make_variable()]) - def perform(self, node, (x, y), (out, )): + def perform(self, node, xxx_todo_changeme63, xxx_todo_changeme64): + (x, y) = xxx_todo_changeme63 + (out, ) = xxx_todo_changeme64 assert _is_sparse(x) and not _is_sparse(y) assert x.shape[1] == y.shape[0] out[0] = x.__class__(x + (x.toarray() != 0) * y) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme65, xxx_todo_changeme66): + (x, y) = xxx_todo_changeme65 + (gz,) = xxx_todo_changeme66 assert _is_sparse_variable(x) and not _is_sparse_variable(y) assert _is_sparse_variable(gz) return gz, sp_sum(gz, axis=0, sparse_grad=True) @@ -1989,7 +2056,9 @@ "Got %s and %s." % (str(x.type), str(y.type))) return gof.Apply(self, [x, y], [x.type()]) - def perform(self, node, (x, y), (out, )): + def perform(self, node, xxx_todo_changeme67, xxx_todo_changeme68): + (x, y) = xxx_todo_changeme67 + (out, ) = xxx_todo_changeme68 assert _is_sparse(x) and _is_sparse(y) assert len(x.shape) == 2 assert y.shape == x.shape @@ -1997,7 +2066,9 @@ # x * y calls dot... out[0] = x.multiply(y) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme69, xxx_todo_changeme70): + (x, y) = xxx_todo_changeme69 + (gz,) = xxx_todo_changeme70 return y * gz, x * gz def infer_shape(self, node, shapes): @@ -2044,7 +2115,9 @@ assert y.type.ndim <= 2 return gof.Apply(self, [x, y], [x.type()]) - def perform(self, node, (x, y), (out, )): + def perform(self, node, xxx_todo_changeme71, xxx_todo_changeme72): + (x, y) = xxx_todo_changeme71 + (out, ) = xxx_todo_changeme72 assert _is_sparse(x) and _is_dense(y) if len(y.shape) == 0: out[0] = x.copy() @@ -2065,8 +2138,8 @@ z = x.copy() z_data = z.data - for j in xrange(0, N): - for i_idx in xrange(indptr[j], indptr[j + 1]): + for j in range(0, N): + for i_idx in range(indptr[j], indptr[j + 1]): i = indices[i_idx] z_data[i_idx] *= y[i, j] out[0] = z @@ -2077,18 +2150,20 @@ z = x.copy() z_data = z.data - for i in xrange(0, M): - for j_idx in xrange(indptr[i], indptr[i + 1]): + for i in range(0, M): + for j_idx in range(indptr[i], indptr[i + 1]): j = indices[j_idx] z_data[j_idx] *= y[i, j] out[0] = z else: - print >> sys.stderr, ( + print(( "WARNING: crappy implementation of MulSD" - ), x.format + ), x.format, file=sys.stderr) out[0] = type(x)(x.toarray() * y) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme73, xxx_todo_changeme74): + (x, y) = xxx_todo_changeme73 + (gz,) = xxx_todo_changeme74 assert _is_sparse_variable(x) and _is_dense_variable(y) assert _is_sparse_variable(gz) return y * gz, x * gz @@ -2131,12 +2206,16 @@ [SparseType(dtype=x.type.dtype, format=x.type.format).make_variable()]) - def perform(self, node, (x, y), (out, )): + def perform(self, node, xxx_todo_changeme75, xxx_todo_changeme76): + (x, y) = xxx_todo_changeme75 + (out, ) = xxx_todo_changeme76 assert _is_sparse(x) and not _is_sparse(y) assert x.shape[1] == y.shape[0] out[0] = x.__class__(x.toarray() * y) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme77, xxx_todo_changeme78): + (x, y) = xxx_todo_changeme77 + (gz,) = xxx_todo_changeme78 assert _is_sparse_variable(x) and _is_dense_variable(y) assert _is_sparse_variable(gz) @@ -2241,7 +2320,8 @@ self, var, [SparseType(dtype=self.dtype, format=self.format).make_variable()]) - def perform(self, node, block, (out, )): + def perform(self, node, block, xxx_todo_changeme79): + (out, ) = xxx_todo_changeme79 for b in block: assert _is_sparse(b) out[0] = scipy.sparse.hstack(block, format=self.format, @@ -2251,7 +2331,8 @@ if out[0].dtype != self.dtype: out[0] = out[0].astype(self.dtype) - def grad(self, inputs, (gz, )): + def grad(self, inputs, xxx_todo_changeme80): + (gz, ) = xxx_todo_changeme80 is_continuous = [(inputs[i].dtype in tensor.continuous_dtypes) for i in range(len(inputs))] @@ -2320,7 +2401,8 @@ :note: The grad implemented is regular, i.e. not structured. """ - def perform(self, node, block, (out, )): + def perform(self, node, block, xxx_todo_changeme81): + (out, ) = xxx_todo_changeme81 for b in block: assert _is_sparse(b) out[0] = scipy.sparse.vstack(block, format=self.format, @@ -2330,7 +2412,8 @@ if out[0].dtype != self.dtype: out[0] = out[0].astype(self.dtype) - def grad(self, inputs, (gz, )): + def grad(self, inputs, xxx_todo_changeme82): + (gz, ) = xxx_todo_changeme82 is_continuous = [(inputs[i].dtype in tensor.continuous_dtypes) for i in range(len(inputs))] @@ -2413,7 +2496,9 @@ def make_node(self, x): return gof.Apply(self, [x], [x.type()]) - def perform(self, node, (x,), (z,)): + def perform(self, node, xxx_todo_changeme83, xxx_todo_changeme84): + (x,) = xxx_todo_changeme83 + (z,) = xxx_todo_changeme84 if self.inplace: c = x else: @@ -2421,7 +2506,9 @@ c.eliminate_zeros() z[0] = c - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme85, xxx_todo_changeme86): + (x,) = xxx_todo_changeme85 + (gz,) = xxx_todo_changeme86 return [gz] def infer_shape(self, node, i0_shapes): @@ -2744,7 +2831,9 @@ shape, copy=False) out[0] = rval - def grad(self, (x, y), (gz, )): + def grad(self, xxx_todo_changeme87, xxx_todo_changeme88): + (x, y) = xxx_todo_changeme87 + (gz, ) = xxx_todo_changeme88 assert _is_sparse_variable(gz) assert _is_sparse_variable(x) @@ -2838,7 +2927,9 @@ [tensor.tensor(dtype_out, (False, b.type.broadcastable[1]))]) - def perform(self, node, (a, b), (out,)): + def perform(self, node, xxx_todo_changeme89, xxx_todo_changeme90): + (a, b) = xxx_todo_changeme89 + (out,) = xxx_todo_changeme90 if a.shape[1] != b.shape[0]: raise ValueError('shape mismatch in StructuredDot.perform', (a.shape, b.shape)) @@ -2880,10 +2971,12 @@ # theano._asarray function documentation. out[0] = theano._asarray(variable, str(variable.dtype)) - def grad(self, (a, b), (g_out,)): + def grad(self, xxx_todo_changeme91, xxx_todo_changeme92): # a is sparse, b is dense, g_out is dense # ga = g_out x b.T # gb = a.T x g_out + (a, b) = xxx_todo_changeme91 + (g_out,) = xxx_todo_changeme92 return [structured_dot_grad(a, b, g_out), structured_dot(a.T, g_out)] def infer_shape(self, node, shapes): @@ -2958,12 +3051,14 @@ return gof.Apply(self, [a_indices, a_indptr, b, g_ab], [tensor.tensor(g_ab.dtype, (False,))]) - def perform(self, node, (a_indices, a_indptr, b, g_ab), (out,)): + def perform(self, node, xxx_todo_changeme93, xxx_todo_changeme94): + (a_indices, a_indptr, b, g_ab) = xxx_todo_changeme93 + (out,) = xxx_todo_changeme94 g_a_data = numpy.zeros(a_indices.shape, dtype=g_ab.dtype) - for j in xrange(len(a_indptr) - 1): + for j in range(len(a_indptr) - 1): ind0 = a_indptr[j] ind1 = a_indptr[j + 1] - for i_idx in xrange(ind0, ind1): + for i_idx in range(ind0, ind1): i = a_indices[i_idx] # Depending on the type of g_ab and b (sparse or dense), # the following dot product can result in a scalar or @@ -2977,8 +3072,10 @@ def c_code_cache_version(self): return (1,) - def c_code(self, node, name, (_indices, _indptr, _d, _g), (_zout, ), sub): - + def c_code(self, node, name, xxx_todo_changeme95, xxx_todo_changeme96, sub): + + (_indices, _indptr, _d, _g) = xxx_todo_changeme95 + (_zout, ) = xxx_todo_changeme96 if node.inputs[2].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for b') if node.inputs[3].type.dtype in ('complex64', 'complex128'): @@ -3092,13 +3189,15 @@ return gof.Apply(self, [a_indices, a_indptr, b, g_ab], [tensor.tensor(b.dtype, (False,))]) - def perform(self, node, (a_indices, a_indptr, b, g_ab), (out,)): + def perform(self, node, xxx_todo_changeme97, xxx_todo_changeme98): + (a_indices, a_indptr, b, g_ab) = xxx_todo_changeme97 + (out,) = xxx_todo_changeme98 g_a_data = numpy.zeros(a_indices.shape, dtype=g_ab.dtype) - for i in xrange(len(a_indptr) - 1): # loop over rows + for i in range(len(a_indptr) - 1): # loop over rows ind0 = a_indptr[i] ind1 = a_indptr[i + 1] # loop over values in that row (columns) - for j_idx in xrange(ind0, ind1): + for j_idx in range(ind0, ind1): j = a_indices[j_idx] # grad is dot product of i-th row of gradient with j-th row of b # Depending on the type of g_ab and b (sparse or dense), @@ -3113,8 +3212,10 @@ def c_code_cache_version(self): RefactoringTool: No changes to ./theano/sparse/__init__.py RefactoringTool: No changes to ./theano/scan_module/tests/test_scan_opt.py RefactoringTool: Refactored ./theano/scan_module/tests/test_scan.py return (1,) - def c_code(self, node, name, (_indices, _indptr, _d, _g), (_zout, ), sub): - + def c_code(self, node, name, xxx_todo_changeme99, xxx_todo_changeme100, sub): + + (_indices, _indptr, _d, _g) = xxx_todo_changeme99 + (_zout, ) = xxx_todo_changeme100 if node.inputs[2].type.dtype in ('complex64', 'complex128'): raise NotImplementedError('Complex types are not supported for b') if node.inputs[3].type.dtype in ('complex64', 'complex128'): @@ -3267,7 +3368,9 @@ return gof.Apply(self, [x, y, p], [p.type()]) - def perform(self, node, (x, y, p), (out,)): + def perform(self, node, xxx_todo_changeme101, xxx_todo_changeme102): + (x, y, p) = xxx_todo_changeme101 + (out,) = xxx_todo_changeme102 if _is_sparse(x): raise TypeError(x) @@ -3279,7 +3382,9 @@ out[0] = p.__class__(p.multiply(numpy.dot(x, y.T))) - def grad(self, (x, y, p), (gz,)): + def grad(self, xxx_todo_changeme103, xxx_todo_changeme104): + (x, y, p) = xxx_todo_changeme103 + (gz,) = xxx_todo_changeme104 rval = [ dot(p * gz, y), dot((p * gz).T, x), @@ -3386,7 +3491,9 @@ out[0] = theano._asarray(rval, dtype=node.outputs[0].dtype) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme105, xxx_todo_changeme106): + (x, y) = xxx_todo_changeme105 + (gz,) = xxx_todo_changeme106 assert _is_sparse_variable(x) or _is_sparse_variable(y) rval = [] @@ -3481,7 +3588,9 @@ [tensor.tensor(dtype=dtype_out, broadcastable=(False, False))]) - def perform(self, node, (alpha, x, y, z), (out, )): + def perform(self, node, xxx_todo_changeme107, xxx_todo_changeme108): + (alpha, x, y, z) = xxx_todo_changeme107 + (out, ) = xxx_todo_changeme108 x_is_sparse = _is_sparse(x) y_is_sparse = _is_sparse(y) --- ./theano/scan_module/tests/test_scan.py (original) +++ ./theano/scan_module/tests/test_scan.py (refactored) @@ -4,7 +4,7 @@ import time import unittest -import cPickle +import pickle import numpy from nose.plugins.skip import SkipTest from numpy.testing import dec @@ -89,7 +89,7 @@ f_x = f(*pt) gx = [] # now iterate over the elements of x and call f on those + delta x - for i in xrange(len(pt)): + for i in range(len(pt)): if ndarray_mask[i]: # It is a ndarray that we can tweak if eps: @@ -99,7 +99,7 @@ if pt[i].ndim: _g = [] # it has several dimensions: - for pos in xrange(prod(pt[i].shape)): + for pos in range(prod(pt[i].shape)): t = pt[i].copy() t = t.flatten() t[pos] += _eps @@ -123,7 +123,7 @@ """Return the biggest relative error between g_pt and self.gx""" g_pt = [] - for i in xrange(len(_g_pt)): + for i in range(len(_g_pt)): if self.ndarray_mask[i]: g_pt.append(_g_pt[i]) elif isinstance(_g_pt[i], numpy.ndarray): @@ -237,12 +237,12 @@ f_out = open('tmp_scan_test_pickle.pkl', 'wb') try: - cPickle.dump(_my_f, f_out, protocol=-1) + pickle.dump(_my_f, f_out, protocol=-1) finally: f_out.close() f_in = open('tmp_scan_test_pickle.pkl', 'rb') try: - my_f = cPickle.load(f_in) + my_f = pickle.load(f_in) finally: f_in.close() finally: @@ -256,7 +256,7 @@ steps = 5 numpy_values = numpy.array([state * (2 ** (k + 1)) for k - in xrange(steps)]) + in range(steps)]) theano_values = my_f(state, steps) utt.assert_allclose(numpy_values, theano_values) @@ -285,7 +285,7 @@ steps = 5 numpy_values = numpy.array([state * (2 ** (k + 1)) for k - in xrange(steps)]) + in range(steps)]) theano_values = my_f(state, steps) utt.assert_allclose(numpy_values, theano_values) @@ -356,7 +356,7 @@ # compute the output in numpy v_out = numpy.zeros((4,)) v_out[0] = v_u[0] * W_in + v_x0 * W - for step in xrange(1, 4): + for step in range(1, 4): v_out[step] = v_u[step] * W_in + v_out[step - 1] * W theano_values = f2(v_u, v_x0, W_in, W) utt.assert_allclose(theano_values, v_out) @@ -410,7 +410,7 @@ # compute the output in numpy v_out = numpy.zeros((4,)) v_out[0] = v_u[0] * W_in + v_x0 * W - for step in xrange(1, 4): + for step in range(1, 4): v_out[step] = v_u[step] * W_in + v_out[step - 1] * W theano_values = f2(v_u, v_x0, W_in, W) utt.assert_allclose(theano_values, v_out) @@ -480,7 +480,7 @@ # compute the output in numpy v_out = numpy.zeros((4,)) v_out[0] = v_u[0] * W_in + v_x0 * W - for step in xrange(1, 4): + for step in range(1, 4): v_out[step] = v_u[step] * W_in + v_out[step - 1] * W theano_values = f2(v_u, v_x0, W_in, W) utt.assert_allclose(theano_values, v_out) @@ -547,7 +547,7 @@ v_out2 = numpy.zeros((4,), dtype='int64') v_out1[0] = v_u[0] * W_in + v_x0 * W v_out2[0] = v_u[0] + v_x0 - for step in xrange(1, 4): + for step in range(1, 4): v_out1[step] = v_u[step] * W_in + v_out1[step - 1] * W v_out2[step] = numpy.int64(v_u[step] + v_out1[step - 1]) @@ -592,7 +592,7 @@ # compute the output i numpy v_out = numpy.zeros((4,)) v_out[0] = v_u[0] * W_in.get_value() + v_x0 * W.get_value() - for step in xrange(1, 4): + for step in range(1, 4): v_out[step] = v_u[step] * W_in.get_value() + \ v_out[step - 1] * W.get_value() @@ -644,7 +644,7 @@ v_x[0] = numpy.dot(v_u1[0], vW_in1) + v_u2[0] * vW_in2 + \ numpy.dot(v_x0, vW) v_y[0] = numpy.dot(v_x0, vWout) - for i in xrange(1, 3): + for i in range(1, 3): v_x[i] = numpy.dot(v_u1[i], vW_in1) + v_u2[i] * vW_in2 + \ numpy.dot(v_x[i - 1], vW) v_y[i] = numpy.dot(v_x[i - 1], vWout) @@ -881,14 +881,14 @@ allow_input_downcast=True) scan_node = [x for x in f9.maker.fgraph.toposort() if isinstance(x.op, theano.scan_module.scan_op.Scan)] - assert 0 in scan_node[0].op.destroy_map.keys() - assert 1 in scan_node[0].op.destroy_map.keys() + assert 0 in list(scan_node[0].op.destroy_map.keys()) + assert 1 in list(scan_node[0].op.destroy_map.keys()) # compute output in numpy numpy_x0 = numpy.zeros((3,)) numpy_x1 = numpy.zeros((3,)) numpy_x0[0] = vu0[0] * vW_in + vx0 * vW + vu1[0] * vu2[0] numpy_x1[0] = vu0[0] * vW_in + vx1 * vW + vu1[0] + vu2[0] - for i in xrange(1, 3): + for i in range(1, 3): numpy_x0[i] = vu0[i] * vW_in + numpy_x0[i - 1] * vW + \ vu1[i] * vu2[i] numpy_x1[i] = vu0[i] * vW_in + numpy_x1[i - 1] * vW + \ @@ -961,14 +961,14 @@ scan_node = [x for x in f9.maker.fgraph.toposort() if isinstance(x.op, theano.scan_module.scan_op.Scan)] - assert 0 in scan_node[0].op.destroy_map.keys() - assert 1 in scan_node[0].op.destroy_map.keys() + assert 0 in list(scan_node[0].op.destroy_map.keys()) + assert 1 in list(scan_node[0].op.destroy_map.keys()) # compute output in numpy numpy_x0 = numpy.zeros((3,)) numpy_x1 = numpy.zeros((3,)) numpy_x0[0] = vu0[0] * vW_in + vx0 * vW + vu1[0] * vu1[1] numpy_x1[0] = vu0[0] * vW_in + vx1 * vW + vu2[0] + vu2[1] + vu2[2] - for i in xrange(1, 3): + for i in range(1, 3): numpy_x0[i] = vu0[i] * vW_in + numpy_x0[i - 1] * vW + \ vu1[i] * vu1[i + 1] numpy_x1[i] = vu0[i] * vW_in + numpy_x1[i - 1] * vW + \ @@ -1016,8 +1016,8 @@ mode=mode) scan_node = [x for x in f9.maker.fgraph.toposort() if isinstance(x.op, theano.scan_module.scan_op.Scan)] - assert 0 not in scan_node[0].op.destroy_map.keys() - assert 1 in scan_node[0].op.destroy_map.keys() + assert 0 not in list(scan_node[0].op.destroy_map.keys()) + assert 1 in list(scan_node[0].op.destroy_map.keys()) # Shared variable with updates def test_shared_arguments_with_updates(self): @@ -1103,7 +1103,7 @@ numpy_y1[0] = vy1 numpy_W1 = vW1.copy() numpy_W2 = vW2.copy() - for idx in xrange(3): + for idx in range(3): numpy_y0[idx + 3] = numpy.dot(\ numpy.dot(vu1[idx, :], numpy_W1), \ numpy_W2) + \ @@ -1184,7 +1184,7 @@ rng = numpy.random.RandomState(int(rng_seed)) # int() is for 32bit numpy_v = numpy.zeros((10, 2)) - for i in xrange(10): + for i in range(10): numpy_v[i] = rng.uniform(-1, 1, size=(2,)) theano_v = my_f() @@ -1392,7 +1392,7 @@ # compute the output in numpy v_out = numpy.zeros((4,)) v_out[0] = v_u[3] * W_in + v_x0 * W - for step in xrange(1, 4): + for step in range(1, 4): v_out[step] = v_u[3 - step] * W_in + v_out[step - 1] * W theano_values = f2(v_u, v_x0, W_in, W) @@ -2112,7 +2112,7 @@ v_x[0] = numpy.dot(v_u1[0], vW_in1) + v_u2[0] * vW_in2 + \ numpy.dot(v_x0, vW) v_y[0] = numpy.dot(v_x0, vWout) + v_y0[2] - for i in xrange(1, 3): + for i in range(1, 3): v_x[i] = numpy.dot(v_u1[i], vW_in1) + v_u2[i] * vW_in2 + \ numpy.dot(v_x[i - 1], vW) v_y[i] = numpy.dot(v_x[i - 1], vWout) + v_y[i - 1] @@ -2201,7 +2201,7 @@ numpy.dot(v_x0, vW) v_y[0] = numpy.dot(v_x0, vWout) + v_y0[2] - for i in xrange(1, 8): + for i in range(1, 8): v_x[i] = numpy.dot(v_u1[i], vW_in1) + v_u2[i] * vW_in2 + \ numpy.dot(v_x[i - 1], vW) v_y[i] = numpy.dot(v_x[i - 1], vWout) + v_y[i - 1] @@ -3166,7 +3166,7 @@ numpy.dot(v_x0, vW) v_y[0] = numpy.dot(v_x0, vWout) + v_y0[2] - for i in xrange(1, 8): + for i in range(1, 8): v_x[i] = numpy.dot(v_u1[i], vW_in1) + v_u2[i] * vW_in2 + \ numpy.dot(v_x[i - 1], vW) v_y[i] = numpy.dot(v_x[i - 1], vWout) + v_y[i - 1] @@ -3268,7 +3268,7 @@ n_steps=10, truncate_gradient=-1, go_backwards=False) - cost = updates.values()[0] + cost = list(updates.values())[0] g_sh = tensor.grad(cost, shared_var) fgrad = theano.function([], g_sh) assert fgrad() == 1 @@ -3712,10 +3712,10 @@ r = numpy.arange(10000).astype(theano.config.floatX).reshape(1000, 10) t0 = time.time() - for i in xrange(1, 1000): + for i in range(1, 1000): r[i] += r[i - 1] t1 = time.time() - print 'python', t1 - t0 + print('python', t1 - t0) r = numpy.arange(10000).astype(theano.config.floatX).reshape(1000, 10) t0 = time.time() @@ -3731,12 +3731,12 @@ else: while True: try: - tmp = r_i.next() - tmp += r_ii.next() + tmp = next(r_i) + tmp += next(r_ii) except StopIteration: break t1 = time.time() - print 'python with builtin iterator', t1 - t0 + print('pythonRefactoringTool: No changes to ./theano/scan_module/scan_views.py RefactoringTool: Refactored ./theano/scan_module/scan_utils.py with builtin iterator', t1 - t0) if 1: r = numpy.arange(10000).astype(theano.config.floatX).reshape(1000, 10) @@ -3751,7 +3751,7 @@ t2 = time.time() f(r) t3 = time.time() - print 'theano (scan, cvm)', t3 - t2 + print('theano (scan, cvm)', t3 - t2) if 1: r = numpy.arange(10000).astype(theano.config.floatX).reshape(-1, 10) @@ -3769,11 +3769,11 @@ f._check_for_aliased_inputs = False t2 = time.time() f_fn = f.fn - for i in xrange(998): + for i in range(998): f_fn() f() # 999 to update the profiling timers t3 = time.time() - print 'theano (updates, cvm)', t3 - t2 + print('theano (updates, cvm)', t3 - t2) #print shared_r.get_value() @@ -3804,10 +3804,10 @@ w = numpy.random.randn(N, N).astype(theano.config.floatX) t0 = time.time() - for i in xrange(1, L): + for i in range(1, L): r[i] = numpy.tanh(numpy.dot(r[i - 1], w)) t1 = time.time() - print 'python', t1 - t0 + print('python', t1 - t0) if 1: r = numpy.arange(L * N).astype(theano.config.floatX).reshape(L, N) @@ -3823,7 +3823,7 @@ t2 = time.time() f(r) t3 = time.time() - print 'theano (scan, cvm)', t3 - t2 + print('theano (scan, cvm)', t3 - t2) if 1: r = numpy.arange(L * N).astype(theano.config.floatX).reshape(L, N) @@ -3849,7 +3849,7 @@ f_fn(n_calls=L - 2) f() # 999 to update the profiling timers t3 = time.time() - print 'theano (updates, cvm)', t3 - t2 + print('theano (updates, cvm)', t3 - t2) #print shared_r.get_value() @@ -3883,10 +3883,10 @@ w = numpy.random.randn(N, N).astype(theano.config.floatX) t0 = time.time() - for i in xrange(1, L): + for i in range(1, L): r[i] = numpy.tanh(numpy.dot(r[i - 1], w)) t1 = time.time() - print 'python', t1 - t0 + print('python', t1 - t0) if 1: r = numpy.arange(B * L * N).astype( @@ -3914,12 +3914,12 @@ f_fn(n_calls=L - 2) f() # 999 to update the profiling timers t3 = time.time() - print 'theano (updates, cvm)', t3 - t2 + print('theano (updates, cvm)', t3 - t2) if __name__ == '__main__': #''' - print ' Use nosetests to run these tests ' + print(' Use nosetests to run these tests ') ''' scan_tst = T_Scan() #'' --- ./theano/scan_module/scan_utils.py (original) +++ ./theano/scan_module/scan_utils.py (refactored) @@ -15,7 +15,7 @@ import copy import logging -from itertools import izip + import numpy import warnings @@ -146,7 +146,7 @@ def hash_listsDictsTuples(x): hash_value = 0 if isinstance(x, dict): - for k, v in x.iteritems(): + for k, v in x.items(): hash_value ^= hash_listsDictsTuples(k) hash_value ^= hash_listsDictsTuples(v) elif isinstance(x, (list, tuple)): @@ -181,7 +181,7 @@ will always have the same value. """ if isinstance(replace, dict): - items = replace.items() + items = list(replace.items()) elif isinstance(replace, (list, tuple)): items = replace elif replace is None: @@ -266,14 +266,14 @@ if isinstance(x, list) or isinstance(x, tuple): iter_on = x elif isinstance(x, dict): - iter_on = x.iteritems() + iter_on = iter(x.items()) if iter_on is not None: - return all(filter(y) for y in iter_on) + return all(list(filter(y)) for y in iter_on) else: return (isinstance(x, theano.Variable) or isinstance(x, theano.scan_module.until)) - if not filter(ls): + if not list(filter(ls)): raise ValueError( 'The return value of your scan lambda expression may only be ' 'made of lists, tuples, or dictionaries containing Theano ' @@ -332,7 +332,7 @@ try: isNaN = numpy.isnan(x) isInf = numpy.isinf(x) - isStr = isinstance(x, basestring) + isStr = isinstance(x, str) except Exception: isNaN = False isInf = False @@ -345,7 +345,7 @@ except Exception: isNaN = False isInf = False - if isinstance(x, gof.Constant) and isinstance(x.data, basestring): + if isinstance(x, gof.Constant) and isinstance(x.data, str): isStr = True else: isStr = False @@ -360,7 +360,7 @@ # Corner case that I might use in an optimization if size == 0: return tensor_var - shapes = [tensor_var.shape[x] for x in xrange(tensor_var.ndim)] + shapes = [tensor_var.shape[x] for x in range(tensor_var.ndim)] zeros_shape = [size + shapes[0]] + shapes[1:] empty = tensor.zeros(zeros_shape, dtype=tensor_var.dtype) @@ -388,7 +388,7 @@ if in_ys is None: in_ys = [] - for x, y in izip(xs, ys): + for x, y in zip(xs, ys): if x.owner and not y.owner: return False if y.owner and not x.owner: @@ -398,7 +398,7 @@ return False if len(in_xs) != len(in_ys): return False - for _x, _y in izip(in_xs, in_ys): + for _x, _y in zip(in_xs, in_ys): if _x.type != _y.type: return False @@ -410,7 +410,7 @@ n_nodes = len(nds_x) cont = True idx = 0 - for dx, dy in izip(xs, ys): + for dx, dy in zip(xs, ys): if not dx.owner or not dy.owner: if dy.owner or dx.owner: return False @@ -435,7 +435,7 @@ elif len(nd_x.outputs) != len(nd_y.outputs): cont = False else: - for dx, dy in izip(nd_x.inputs, nd_y.inputs): + for dx, dy in zip(nd_x.inputs, nd_y.inputs): if (dx, dy) not in common: if dx != dy: if (isinstance(dx, tensor.Constant) and @@ -450,7 +450,7 @@ cont = False if cont: - for dx, dy in izip(nd_x.outputs, nd_y.outputs): + for dx, dy in zip(nd_x.outputs, nd_y.outputs): common.add((dx, dy)) idx += 1 @@ -469,7 +469,7 @@ # inside. We don't use the full ShapeFeature interface, but we # let it initialize itself with an empty fgraph, otherwise we will # need to do it manually - for inp, inp_shp in izip(inputs, input_shapes): + for inp, inp_shp in zip(inputs, input_shapes): if inp_shp is not None and len(inp_shp) != inp.ndim: assert len(inp_shp) == inp.ndim @@ -477,7 +477,7 @@ shape_feature.on_attach(theano.gof.FunctionGraph([], [])) # Initialize shape_of with the input shapes - for inp, inp_shp in izip(inputs, input_shapes): + for inp, inp_shp in zip(inputs, input_shapes): shape_feature.set_shape(inp, inp_shp) def local_traverse(out): @@ -533,8 +533,8 @@ # Mapping from invalid variables to equivalent valid ones. self.valid_equivalent = valid_equivalent.copy() - self.valid.update(valid_equivalent.values()) - self.invalid.update(valid_equivalent.keys()) + self.valid.update(list(valid_equivalent.values())) + self.invalid.update(list(valid_equivalent.keys())) def check(self, out): ''' @@ -605,8 +605,8 @@ n_ins = len(op.info['tap_array'][idx]) out_ins += [op.inputs[offset:offset + n_ins]] offset += n_ins - out_ins += [[] for k in xrange(op.n_nit_sot)] - out_ins += [[op.inputs[offset + k]] for k in xrange(op.n_shared_outs)] + out_ins += [[] for k in range(op.n_nit_sot)] + out_ins += [[op.inputs[offset + k]] for k in range(op.n_shared_outs)] added = True out_idxs_mask = [1 for idx in out_idxs] @@ -663,7 +663,7 @@ i_offset = op.n_seqs o_offset = 0 curr_pos = 0 - for idx in xrange(op.info['n_mit_mot']): + for idx in range(op.info['n_mit_mot']): if offset + idx not in not_required: map_old_new[offset + idx] = currRefactoringTool: No changes to ./theano/scan_module/scan_perform_ext.py RefactoringTool: Refactored ./theano/scan_module/scan_opt.py _pos curr_pos += 1 @@ -687,7 +687,7 @@ offset += op.n_mit_mot ni_offset += op.n_mit_mot - for idx in xrange(op.info['n_mit_sot']): + for idx in range(op.info['n_mit_sot']): if offset + idx not in not_required: map_old_new[offset + idx] = curr_pos curr_pos += 1 @@ -708,7 +708,7 @@ offset += op.n_mit_sot ni_offset += op.n_mit_sot - for idx in xrange(op.info['n_sit_sot']): + for idx in range(op.info['n_sit_sot']): if offset + idx not in not_required: map_old_new[offset + idx] = curr_pos curr_pos += 1 @@ -729,7 +729,7 @@ offset += op.n_sit_sot ni_offset += op.n_sit_sot nit_sot_ins = [] - for idx in xrange(op.info['n_nit_sot']): + for idx in range(op.info['n_nit_sot']): if offset + idx not in not_required: map_old_new[offset + idx] = curr_pos curr_pos += 1 @@ -742,7 +742,7 @@ offset += op.n_nit_sot shared_ins = [] - for idx in xrange(op.info['n_shared_outs']): + for idx in range(op.info['n_shared_outs']): if offset + idx not in not_required: map_old_new[offset + idx] = curr_pos curr_pos += 1 @@ -792,7 +792,7 @@ tag = '' nw_inputs = [safe_new(x, tag) for x in inputs] givens = OrderedDict() - for nw_x, x in izip(nw_inputs, inputs): + for nw_x, x in zip(nw_inputs, inputs): givens[x] = nw_x allinputs = theano.gof.graph.inputs(outputs) for inp in allinputs: --- ./theano/scan_module/scan_opt.py (original) +++ ./theano/scan_module/scan_opt.py (refactored) @@ -93,7 +93,7 @@ nw_outer = [node.inputs[0]] all_ins = gof.graph.inputs(op_outs) - for idx in xrange(op.n_seqs): + for idx in range(op.n_seqs): if (isinstance(node.inputs[idx + 1], tensor.TensorConstant) and node.inputs[idx + 1].tag.unique_value is not None): try: @@ -296,7 +296,7 @@ **dict(return_list=True))[0].owner fgraph.replace_all_validate_remove( - zip(node.outputs, nw_node.outputs), + list(zip(node.outputs, nw_node.outputs)), remove=[node], reason='scanOp_pushout_nonseqs_ops') return True @@ -307,7 +307,7 @@ if out in local_fgraph.outputs: x = node.outputs[local_fgraph.outputs.index(out)] y = replace_with_out[idx] - shape = [y.shape[idx] for idx in xrange(y.ndim)] + shape = [y.shape[idx] for idx in range(y.ndim)] replace_with[x] = tensor.alloc(y, node.inputs[0], *shape) @@ -317,7 +317,7 @@ # subtensor is applied that takes only the last element if replace_with: fgraph.replace_all_validate_remove( - replace_with.items(), + list(replace_with.items()), remove=[node], reason='scanOp_pushout_nonseqs_ops') @@ -495,7 +495,7 @@ **dict(return_list=True))[0].owner fgraph.replace_all_validate_remove( - zip(node.outputs, nw_node.outputs), + list(zip(node.outputs, nw_node.outputs)), remove=[node], reason='scanOp_pushout_seqs_ops') return True @@ -527,7 +527,7 @@ # We need to add one extra dimension to the outputs if replace_with and len(replace_with) == len(node.outputs): fgraph.replace_all_validate_remove( - replace_with.items(), + list(replace_with.items()), remove=[node], reason='scanOp_pushout_seqs_ops') return True @@ -552,13 +552,13 @@ scan_nodes = [x for x in nodes if (isinstance(x.op, scan_op.Scan) and x.op.info['gpu'] == self.gpu_flag)] - for scan_idx in xrange(len(scan_nodes)): + for scan_idx in range(len(scan_nodes)): node = scan_nodes[scan_idx] op = node.op n_outs = (op.info['n_mit_mot'] + op.info['n_mit_sot'] + op.info['n_sit_sot']) - for pos in xrange(n_outs): + for pos in range(n_outs): info = copy.deepcopy(op.info) if not 'destroy_map' in info: info['destroy_map'] = OrderedDict() @@ -572,7 +572,7 @@ ls_end += op.outer_nitsot(node.inputs) ls_end += op.outer_non_seqs(node.inputs) n_outs = len(ls) - for idx in xrange(n_outs): + for idx in range(n_outs): if ls[idx] in ls[:idx]: ls[idx] = deep_copy_op(ls[idx]) @@ -586,12 +586,12 @@ new_outs = new_op(*inputs, **dict(return_list=True)) try: fgraph.replace_all_validate_remove( - zip(node.outputs, new_outs), + list(zip(node.outputs, new_outs)), remove=[node], reason='scanOp_make_inplace') op = new_op node = new_outs[0].owner - except InconsistencyError, e: + except InconsistencyError as e: # Failed moving output to be comptued inplace pass @@ -646,9 +646,9 @@ op = node.op c_outs = op.n_mit_mot + op.n_mit_sot + op.n_sit_sot + op.n_nit_sot - init_l = [0 for x in xrange(op.n_mit_mot)] + init_l = [0 for x in range(op.n_mit_mot)] init_l += [abs(numpy.min(v)) for v in op.tap_array[op.n_mit_mot:]] - init_l += [0 for x in xrange(op.n_nit_sot)] + init_l += [0 for x in range(op.n_nit_sot)] # 2. Check the clients of each output and see for how many steps # does scan need to run @@ -689,7 +689,7 @@ # Note that for mit_mot outputs and shared outputs we can not change # the number of intermediate steps stored without affecting the # result of the op - store_steps = [0 for o in xrange(op.n_mit_mot)] + store_steps = [0 for o in range(op.n_mit_mot)] store_steps += [-1 for o in node.outputs[op.n_mit_mot:c_outs]] # Flag that says if an input has changed and we need to do something # or not @@ -769,15 +769,15 @@ if isinstance(stop, tensor.Variable): global_nsteps['sym'] += [stop] # not if it is maxsize - elif (type(stop) in (int, long) and + elif (type(stop) in (int, int) and stop == maxsize): global_nsteps = None # yes if it is a int k, 0 < k < maxsize - elif (type(stop) in (int, long) and + elif (type(stop) in (int, int) and global_nsteps['real'] < stop): global_nsteps['real'] = stop # yes if it is a int k, 0 < k < maxsize - elif (type(stop) in (int, long) and stop > 0): + elif (type(stop) in (int, int) and stop > 0): pass # not otherwise else: @@ -956,7 +956,7 @@ (inps, outs, info, node_ins, compress_map) = \ scan_utils.compress_outs(op, not_required, nw_inputs) inv_compress_map = OrderedDict() - for k, v in compress_map.items(): + for k, v in list(compress_map.items()): inv_compress_map[v] = k node_ins = [pre_greedy_local_optimizer(list_opt_slice, x) for x in @@ -1143,7 +1143,7 @@ # SitSot RefactoringTool: Refactored ./theano/scan_module/scan_op.py inner_ins[idx].append( rename(nd.op.inner_sitsot(nd.op.inputs), idx)) - info['tap_array'] += [[-1] for x in xrange(nd.op.n_sit_sot)] + info['tap_array'] += [[-1] for x in range(nd.op.n_sit_sot)] inner_outs[idx].append(nd.op.inner_sitsot_outs(nd.op.outputs)) outer_ins += rename(nd.op.outer_sitsot(nd.inputs), idx) outer_outs += nd.op.outer_sitsot_outs(nd.outputs) @@ -1239,7 +1239,7 @@ if not isinstance(new_outs, (list, tuple)): new_outs = [new_outs] - return zip(outer_outs, new_outs) + return list(zip(outer_outs, new_outs)) def belongs_to_set(self, node, set_nodes): """ @@ -1667,10 +1667,10 @@ new_out = tensor.dot(val, out_seq) pos = node.outputs.index(outer_out) - old_new = zip(node.outputs[:pos], new_outs[:pos]) + old_new = list(zip(node.outputs[:pos], new_outs[:pos])) old = node.outputs[pos].clients[0][0].outputs[0] old_new.append((old, new_out)) - old_new += zip(node.outputs[pos+1:], new_outs[pos:]) + old_new += list(zip(node.outputs[pos+1:], new_outs[pos:])) fgraph.replace_all_validate_remove( old_new, remove=[node], reason='scan_pushout_dot1') --- ./theano/scan_module/scan_op.py (original) +++ ./theano/scan_module/scan_op.py (refactored) @@ -15,7 +15,7 @@ import itertools import logging import time -from itertools import izip + import numpy @@ -170,7 +170,7 @@ # Pre-computing some values to speed up perform self.mintaps = [numpy.min(x) for x in self.tap_array] - self.mintaps += [0 for x in xrange(self.n_nit_sot)] + self.mintaps += [0 for x in range(self.n_nit_sot)] self.seqs_arg_offset = 1 + self.n_seqs self.shared_arg_offset = (self.seqs_arg_offset + self.n_mit_mot + @@ -278,7 +278,7 @@ self.outer_mitmot(inputs))): outer_mitmot = format(_outer_mitmot, as_var=inner_mitmot[ipos]) new_inputs.append(outer_mitmot) - for k in xrange(len(itaps)): + for k in range(len(itaps)): if (inner_mitmot[ipos + k].type.dtype != outer_mitmot.type.dtype or inner_mitmot[ipos + k].ndim != outer_mitmot.ndim - 1): @@ -293,7 +293,7 @@ k].type.dtype, inner_mitmot[ipos + k].type.ndim)) ipos += len(itaps) - for k in xrange(len(otaps)): + for k in range(len(otaps)): if (inner_mitmot_outs[opos + k].type.dtype != \ outer_mitmot.type.dtype or inner_mitmot_outs[opos + k].ndim != \ @@ -317,7 +317,7 @@ outer_mitsot = format(_outer_mitsot, as_var=inner_mitsots[ipos]) new_inputs.append(outer_mitsot) - for k in xrange(len(itaps)): + for k in range(len(itaps)): if (inner_mitsots[ipos + k].type.dtype != \ outer_mitsot.type.dtype or inner_mitsots[ipos + k].ndim != outer_mitsot.ndim - 1): @@ -466,7 +466,7 @@ # If everything went OK up to here, there is still one thing to # check. Namely, do the internal graph represent same # computations - for self_in, other_in in izip(self.inputs, other.inputs): + for self_in, other_in in zip(self.inputs, other.inputs): if self_in.type != other_in.type: return False @@ -492,7 +492,7 @@ aux_txt = '%s' if getattr(self, 'destroy_map', None) is None: self.destroy_map = OrderedDict() - if len(self.destroy_map.keys()) > 0: + if len(list(self.destroy_map.keys())) > 0: # Check if all outputs are inplace if (sorted(self.destroy_map.keys()) == \ sorted(range(self.n_mit_mot + @@ -501,7 +501,7 @@ aux_txt += 'all_inplace,%s,%s}' else: aux_txt += '{inplace{' - for k in self.destroy_map.keys(): + for k in list(self.destroy_map.keys()): aux_txt += str(k) + ',' aux_txt += '},%s,%s}' else: @@ -558,9 +558,9 @@ wrapped_outputs += self.outputs[slices:] profile = None if (theano.config.profile or - (isinstance(self.profile, (basestring, bool, int)) + (isinstance(self.profile, (str, bool, int)) and self.profile)): - if isinstance(self.profile, basestring): + if isinstance(self.profile, str): profile = ScanProfileStats(name=self.profile) else: profile = ScanProfileStats(name=self.name) @@ -618,12 +618,12 @@ if hasattr(self, 'destroy_map'): cython_destroy_map = [x in self.destroy_map - for x in xrange(len(node.outputs))] - else: - cython_destroy_map = [0 for x in xrange(len(node.outputs))] + for x in range(len(node.outputs))] + else: + cython_destroy_map = [0 for x in range(len(node.outputs))] cython_destroy_map = numpy.asarray(cython_destroy_map, dtype='int32') - import scan_perform_ext + from . import scan_perform_ext p = lambda node, args, outs:\ scan_perform_ext.perform( self.n_shared_outs, @@ -872,11 +872,11 @@ ] pos = [(-self.mintaps[idx]) % store_steps[idx] for idx - in xrange(self.n_outs + self.n_nit_sot)] + in range(self.n_outs + self.n_nit_sot)] if not getattr(self, 'destroy_map', None): self.destroy_map = OrderedDict() # 2.1 Create storage space for outputs - for idx in xrange(self.n_outs): + for idx in range(self.n_outs): if idx in self.destroy_map: # ^ Case 1. Outputs should be computed inplace of their # initial state @@ -902,7 +902,7 @@ fn = self.fn.fn offset = (self.n_seqs + sum(map(len, self.tap_array[:self.n_outs])) + self.n_shared_outs) - for idx in xrange(len(other_args)): + for idx in range(len(other_args)): input_storage[idx + offset].storage[0] = other_args[idx] i = 0 @@ -912,7 +912,7 @@ while (i < n_steps) and cond: # sequences over which scan iterates # 3. collect input slices - for idx in xrange(self.n_seqs): + for idx in range(self.n_seqs): if self.vector_seqs[idx]: input_storage[idx].storage[0] = \ seqs[idx][i:i + 1].reshape(()) @@ -920,7 +920,7 @@ input_storage[idx].storage[0] = seqs[idx][i] offset = self.n_seqs - for idx in xrange(self.n_outs): + for idx in range(self.n_outs): if self.vector_outs[idx]: for tap in self.tap_array[idx]: _idx = (pos[idx] + tap) % store_steps[idx] @@ -936,21 +936,21 @@ a_offset = self.shared_arg_offset o_offset = self.n_outs + self.n_nit_sot if i == 0: - for j in xrange(self.n_shared_outs): + for j in range(self.n_shared_outs): input_storage[offset].storage[0] = args[a_offset + j] offset += 1 else: - for j in xrange(self.n_shared_outs): + for j in range(self.n_shared_outs): input_storage[offset].storage[0] = outs[o_offset + j][0] offset += 1 # 4. collecting slices where the output should be stored - for idx in xrange(self.n_mit_mot_outs): + for idx in range(self.n_mit_mot_outs): output_storage[idx].storage[0] = None offset = self.n_mit_mot_outs if i != 0 and self.n_nit_sot > 0: - for idx in xrange(self.n_outs + self.n_nit_sot - + for idx in range(self.n_outs + self.n_nit_sot - self.n_mit_mot): if (store_steps[idx + self.n_mit_mot] == 1 or self.vector_outs[idx + self.n_mit_mot]): @@ -960,12 +960,12 @@ output_storage[idx + offset].storage[0] =\ outs[_pos0][0][pos[_pos0]] else: - for idx in xrange(self.n_outs + self.n_nit_sot - + for idx in range(self.n_outs + self.n_nit_sot - self.n_mit_mot): output_storage[idx + offset].storage[0] = None offset += self.n_outs + self.n_nit_sot - self.n_mit_mot - for idx in xrange(self.n_shared_outs): + for idx in range(self.n_shared_outs): output_storage[idx + offset].storage[0] = None # If condition add it to the mix if self.as_while: @@ -1000,7 +1000,7 @@ t_fn += dt_fn offset_out = 0 # 5.1 Copy over the values for mit_mot outputs - for j in xrange(self.n_mit_mot): + for j in range(self.n_mit_mot): for k in self.mit_mot_out_slices[j]: outs[j][0][k + pos[j]] = \ output_storage[offset_out].storage[0] @@ -1011,7 +1011,7 @@ end = self.n_outs offset_out -= self.n_mit_mot - for j in xrange(begin, end): + for j in range(begin, end): if (store_steps[j] == 1 or self.vector_outs[j] or outs[j][0][pos[j]] is not output_storage[offset_out + j].storage[0]): @@ -1021,7 +1021,7 @@ # 5.3 Copy over the values for nit_sot outputs begin = end end += self.n_nit_sot - for j in xrange(begin, end): + for j in range(begin, end): if i == 0: jout = j + offset_out shape = (store_steps[j],) + \ @@ -1047,18 +1047,18 @@ # variables begin = end end += self.n_shared_outs - for j in xrange(begin, end): + for j in range(begin, end): jout = j + offset_out outs[j][0] = output_storage[jout].storage[0] pos = [(idx + 1) % store for idx, store in - itertools.izip(pos, store_steps)] + zip(pos, store_steps)] i = i + 1 # 6. Check if you need to re-order output buffers begin = self.n_mit_mot end = self.n_outs + self.n_nit_sot - for idx in xrange(begin, end): + for idx in range(begin, end): if (store_steps[idx] < i - self.mintaps[idx] and pos[idx] < store_steps[idx]): @@ -1140,7 +1140,7 @@ # Here, we build a list inner_ins_shape, such that inner_ins_shape[i] # is the shape of self.inputs[i] - for inp, inp_shp in izip(node.inputs, input_shapes): + for inp, inp_shp in zip(node.inputs, input_shapes): assert inp_shp is None or len(inp_shp) == inp.type.ndim # sequences @@ -1151,13 +1151,13 @@ # mit_mot, mit_sot, sit_sot n_outs = self.n_mit_mot + self.n_mit_sot + self.n_sit_sot outs_shape = [] - for idx in xrange(n_outs): + for idx in range(n_outs): for k in self.tap_array[idx]: outs_shape += [input_shapes[idx + self.n_seqs + 1][1:]] # shared_outs offset = 1 + self.n_seqs + n_outs - for idx in xrange(self.n_shared_outs): + for idx in range(self.n_shared_outs): outs_shape += [input_shapes[idx + offset]] # non_sequences @@ -1169,7 +1169,7 @@ # node.inputs inner_non_sequences = self.inputs[len(seqs_shape) + len(outs_shape):] out_equivalent = OrderedDict() - for in_ns, out_ns in izip(inner_non_sequences, node.inputs[offset:]): + for in_ns, out_ns in zip(inner_non_sequences, node.inputs[offset:]): out_equivalent[in_ns] = out_ns if self.as_while: self_outs = self.outputs[:-1] @@ -1191,7 +1191,7 @@ scan_outs = [x for x in input_shapes[offset:offset + n_outs]] offset += n_outs outs_shape_n = self.n_mit_mot_outs + self.n_mit_sot + self.n_sit_sot - for x in xrange(self.n_nit_sot): + for x in range(self.n_nit_sot): out_shape_x = outs_shape[outs_shape_n + x] if out_shape_x is None: # This output is not a tensor, and has no shape @@ -1203,7 +1203,7 @@ r = node.outputs[n_outs + x] assert r.ndim == 1 + len(out_shape_x) shp = [node.inputs[offset + self.n_shared_outs + x]] - for i, shp_i in izip(xrange(1, r.ndim), out_shape_x): + for i, shp_i in zip(range(1, r.ndim), out_shape_x): # Validate shp_i. v_shape_i is either None (if invalid), # or a (variable, Boolean) tuple. The Boolean indicates # whether variable is shp_i (if True), or an valid @@ -1225,7 +1225,7 @@ # leading dimension so we replace it for every entry with Shape_i if self.as_while: scan_outs = [(Shape_i(0)(o),) + x[1:] - for o, x in izip(node.outputs, scan_outs)] + for o, x in zip(node.outputs, scan_outs)] return scan_outs def get_input_pos(self, output_index): @@ -1317,7 +1317,7 @@ e = len(self.mitmot_out_taps()[0]) else: e = 1 - for p in xrange(oidx): + for p in range(oidx): s = e if p < self.n_mit_mot: e += len(self.mitmot_out_taps()[p]) @@ -1339,7 +1339,7 @@ node.inputs[iidx + 1]) return [self.inner_non_seqs(self.inputs)[loc_idx]] - for p in xrange(iidx): + for p in range(iidx): s = e if p < self.n_seqs: e += 1 @@ -1385,12 +1385,12 @@ # input to `z_t` then `x` is an input to `z_t`. n_outs = len(node.outputs) - for steps in xrange(n_outs): - for iidx in xrange(n_outs): - for jidx in xrange(n_outs): + for steps in range(n_outs): + for iidx in range(n_outs): + for jidx in range(n_outs): j_inp_idx = self.get_input_pos(jidx) + 1 if connection_pattern[j_inp_idx][iidx] == True: - for k in xrange(len(connection_pattern)): + for k in range(len(connection_pattern)): if connection_pattern[k][jidx]: connection_pattern[k][iidx] = True return connection_pattern @@ -1483,7 +1483,7 @@ consider_constant=wrt, disconnected_inputs='ignore', return_disconnected='None') - gmp = dict(zip(wrt, grads)) + gmp = dict(list(zip(wrt, grads))) rval = [gmp.get(p, None) for p in diff_inputs] return rval dC_dinps_t = [None for inp in diff_inputs] @@ -1525,13 +1525,13 @@ dC_dXt = safe_new(dC_douts[idx][0]) dC_dXts.append(dC_dXt) _dC_dinps_t = compute_gradient(Xt, dC_dXt) - for jdx in xrange(len(_dC_dinps_t)): + for jdx in range(len(_dC_dinps_t)): if dC_dinps_t[jdx] is None: dC_dinps_t[jdx] = _dC_dinps_t[jdx] elif _dC_dinps_t[jdx]: dC_dinps_t[jdx] += _dC_dinps_t[jdx] # mask inputs that get no gradients - for dx in xrange(len(dC_dinps_t)): + for dx in range(len(dC_dinps_t)): if not dC_dinps_t[dx]: dC_dinps_t[dx] = tensor.zeros_like(diff_inputs[dx]) else: @@ -1561,7 +1561,7 @@ # Construct scan op # Seqs outer_inp_seqs = [x[::-1] for x in inputs[1:1 + self.n_seqs]] - for idx in xrange(self.n_mit_mot + self.n_mit_sot): + for idx in range(self.n_mit_mot + self.n_mit_sot): mintap = numpy.min(self.tap_array[idx]) maxtap = numpy.max(self.tap_array[idx]) if idx < self.n_mit_mot: @@ -1626,7 +1626,7 @@ n_mitmot_outs = 0 n_mitmot_inps = 0 - for idx in xrange(self.n_mit_mot): + for idx in range(self.n_mit_mot): if isinstance(dC_douts[idx].type, DisconnectedType): out = outs[idx] outer_inp_mitmot.append(tensor.zeros_like(out)) @@ -1636,13 +1636,13 @@ mitmot_out_taps.append([]) undefined = False disconnected = True - for jdx in xrange(len(self.mit_mot_out_slices[idx])): + for jdx in range(len(self.mit_mot_out_slices[idx])): inner_inp_mitmot.append(dC_dXts[out_pos]) mitmot_inp_taps[idx].append(-self.mit_mot_out_slices[idx][jdx]) n_mitmot_inps += 1 out_pos += 1 - for jdx in xrange(len(self.tap_array[idx])): + for jdx in range(len(self.tap_array[idx])): inner_inp_mitmot.append(dC_dXtm1s[ins_pos - self.n_seqs]) inner_out_mitmot.append(dC_dinps_t[ins_pos]) if not disconnected_dC_dinps_t[ins_pos]: @@ -1665,7 +1665,7 @@ type_outs.append('connected') offset = self.n_mit_mot - for idx in xrange(self.n_mit_sot): + for idx in range(self.n_mit_sot): mitmot_inp_taps.append([]) mitmot_out_taps.append([]) outer_inp_mitmot.append(dC_douts[idx + offset][::-1]) @@ -1676,7 +1676,7 @@ undefined = False disconnected = True mitmot_inp_taps[idx + offset].append(0) - for jdx in xrange(len(self.tap_array[idx_tap])): + for jdx in range(len(self.tap_array[idx_tap])): inner_inp_mitmot.append(dC_dXtm1s[ins_pos - self.n_seqs]) inner_out_mitmot.append(dC_dinps_t[ins_pos]) mitmot_inp_taps[idx + offset].append( @@ -1699,7 +1699,7 @@ type_outs.append('connected') offset += self.n_mit_sot - for idx in xrange(self.n_sit_sot): + for idx in range(self.n_sit_sot): mitmot_inp_taps.append([0, 1]) mitmot_out_taps.append([1]) undefined = False @@ -1759,14 +1759,14 @@ inner_inp_sitsot = dC_dXtm1s[ins_pos - self.n_seqs:] outer_inp_sitsot = [ tensor.zeros([grad_steps + 1] + - [x.shape[i] for i in xrange(x.ndim)], + [x.shape[i] for i in range(x.ndim)], dtype=y.dtype) for y, x in zip(inner_inp_sitsot, self.outer_non_seqs(inputs))] n_sitsot_outs = len(outer_inp_sitsot) new_tap_array = mitmot_inp_taps + [[-1] for k in - xrange(n_sitsot_outs)] + range(n_sitsot_outs)] info = OrderedDict() info['n_seqs'] = len(outer_inp_seqs) @@ -1793,7 +1793,7 @@ outer_inp_seqs + outer_inp_mitmot + outer_inp_sitsot + - [inputs[0] for x in xrange(n_nit_sot)] + + [inputs[0] for x in range(n_nit_sot)] + RefactoringTool: Refactored ./theano/scan_module/scan.py self.outer_shared(inputs) + self.outer_non_seqs(inputs)) @@ -1846,7 +1846,7 @@ start = len(gradients) node = outs[0].owner - for idx in xrange(self.n_shared_outs): + for idx in range(self.n_shared_outs): disconnected = True connected_flags = self.connection_pattern(node)[idx + start] for dC_dout, connected in zip(dC_douts, connected_flags): @@ -1862,7 +1862,7 @@ start = len(gradients) gradients += [DisconnectedType()() - for x in xrange(self.n_nit_sot)] + for x in range(self.n_nit_sot)] begin = end end = begin + n_sitsot_outs @@ -1884,9 +1884,9 @@ # from a computational point of view # The gradients of scan are computed replacing Disconnected with 0, # because through the recurrence they can become nonzero - for idx in xrange(len(gradients)): + for idx in range(len(gradients)): disconnected = True - for kdx in xrange(len(node.outputs)): + for kdx in range(len(node.outputs)): if connection_pattern[idx][kdx] and \ not isinstance(dC_douts[kdx].type, DisconnectedType): disconnected = False @@ -2119,16 +2119,16 @@ other_time): # Scan overhead profile if any([isinstance(node.op, Scan) and v > 0 for (_, node), v in - apply_time.items()]): - print - print 'Scan overhead:' + list(apply_time.items())]): + print() + print('Scan overhead:') print (' _{') total_super_scan_time = 0 total_scan_fct_time = 0 total_scan_op_time = 0 - for (_, node), v in apply_time.items(): + for (_, node), v in list(apply_time.items()): if isinstance(node.op, Scan): if v > 0: scan_fct_time = node.op.mode_instance.fn_time @@ -2136,18 +2136,18 @@ total_super_scan_time += v total_scan_fct_time += scan_fct_time total_scan_op_time += scan_op_time - print ' %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( + print(' %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( v, scan_fct_time, scan_op_time, scan_fct_time / v * 100, - scan_op_time / v * 100), node + scan_op_time / v * 100), node) else: - print (' The node took 0s, so we can not ' - 'compute the overhead'), node - print ' total %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( + print((' The node took 0s, so we can not ' + 'compute the overhead'), node) + print(' total %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( total_super_scan_time, total_scan_fct_time, total_scan_op_time, total_scan_fct_time / total_super_scan_time * 100, - total_scan_op_time / total_super_scan_time * 100) + total_scan_op_time / total_super_scan_time * 100)) --- ./theano/scan_module/scan.py (original) +++ ./theano/scan_module/scan.py (refactored) @@ -379,7 +379,7 @@ return_steps = OrderedDict() # wrap sequences in a dictionary if they are not already dictionaries - for i in xrange(n_seqs): + for i in range(n_seqs): if not isinstance(seqs[i], dict): seqs[i] = OrderedDict([('input', seqs[i]), ('taps', [0])]) elif seqs[i].get('taps', None): @@ -389,7 +389,7 @@ seqs[i]['taps'] = [0] # wrap outputs info in a dictionary if they are not already in one - for i in xrange(n_outs): + for i in range(n_outs): if outs_info[i] is not None: if isinstance(outs_info[i], dict): # DEPRECATED : @@ -469,7 +469,7 @@ try: nw_slice.tag.test_value = gof.Op._get_test_value( _seq_val_slice) - except AttributeError, e: + except AttributeError as e: if config.compute_test_value != 'ignore': # No need to print a warning or raise an error now, # it will be done when fn will be called. @@ -599,7 +599,7 @@ if config.compute_test_value != 'off': try: arg.tag.test_value = gof.Op._get_test_value(actual_arg) - except AttributeError, e: + except AttributeError as e: if config.compute_test_value != 'ignore': # No need to print a warning or raise an error now, # it will be done when fn will be called. @@ -659,7 +659,7 @@ try: nw_slice.tag.test_value = gof.Op._get_test_value( _init_out_var_slice) - except AttributeError, e: + except AttributeError as e: if config.compute_test_value != 'ignore': # No need to print a warning or raise an error now, # it will be done when fn will be called. @@ -687,9 +687,9 @@ max_mit_sot = numpy.max([-1] + mit_sot_rightOrder) + 1 max_sit_sot = numpy.max([-1] + sit_sot_rightOrder) + 1 n_elems = numpy.max([max_mit_sot, max_sit_sot]) - _ordered_args = [[] for x in xrange(n_elems)] + _ordered_args = [[] for x in range(n_elems)] offset = 0 - for idx in xrange(n_mit_sot): + for idx in range(n_mit_sot): n_inputs = len(mit_sot_tap_array[idx]) if n_fixed_steps in [1, -1]: _ordered_args[mit_sot_rightOrder[idx]] = \ @@ -699,7 +699,7 @@ mit_sot_inner_inputs[offset:offset + n_inputs] offset += n_inputs - for idx in xrange(n_sit_sot): + for idx in range(n_sit_sot): if n_fixed_steps in [1, -1]: _ordered_args[sit_sot_rightOrder[idx]] = \ [sit_sot_inner_slices[idx]] @@ -778,9 +778,9 @@ # as non sequences at the end of our args fake_nonseqs = [x.type() for x in non_seqs] fake_outputs = scan_utils.clone(outputs, - replace=OrderedDict(zip(non_seqs, - fake_nonseqs))) - all_inputs = itertools.ifilter( + replace=OrderedDict(list(zip(non_seqs, + fake_nonseqs)))) + all_inputs = filter( lambda x: (isinstance(x, gof.Variable) and not isinstance(x, SharedVariable) and not isinstance(x, gof.Constant)), @@ -825,7 +825,7 @@ n_outs = len(dummy_f.maker.outputs) if as_while: n_outs = n_outs - 1 - outs_info = [OrderedDict() for x in xrange(n_outs)] + outs_info = [OrderedDict() for x in range(n_outs)] ## Step 5.1 Outputs with taps different then -1 @@ -902,7 +902,7 @@ if (not isinstance(arg, SharedVariable) and not isinstance(arg, tensor.Constant))] - givens.update(OrderedDict(zip(other_scan_args, other_inner_args))) + givens.update(OrderedDict(list(zip(other_scan_args, other_inner_args)))) other_shared_scan_args = [arg.variable for arg in dummy_f.maker.expanded_inputs if (isinstance(arg.variable, SharedVariable) and @@ -911,8 +911,8 @@ in dummy_f.maker.expanded_inputs if (isinstance(arg.variable, SharedVariable) and RefactoringTool: No changes to ./theano/scan_module/__init__.py RefactoringTool: No changes to ./theano/scalar/tests/test_basic_sympy.py RefactoringTool: No changes to ./theano/scalar/tests/test_basic.py RefactoringTool: Refactored ./theano/scalar/sharedvar.py RefactoringTool: No changes to ./theano/scalar/basic_sympy.py RefactoringTool: Refactored ./theano/scalar/basic_scipy.py RefactoringTool: Refactored ./theano/scalar/basic.py not arg.update)] - givens.update(OrderedDict(zip(other_shared_scan_args, - other_shared_inner_args))) + givens.update(OrderedDict(list(zip(other_shared_scan_args, + other_shared_inner_args)))) ## ### Step 6. Re-order the outputs and clone them replacing things @@ -945,7 +945,7 @@ # variables are put on GPU right aways >:| , new_givens = OrderedDict() - for w, w_copy in givens.iteritems(): + for w, w_copy in givens.items(): if (isinstance(w.type, cuda.CudaNdarrayType) and isinstance(w_copy.type, tensor.TensorType)): for o in inner_outs: @@ -961,7 +961,7 @@ ### Step 7. Create the Scan Op ## - tap_array = mit_sot_tap_array + [[-1] for x in xrange(n_sit_sot)] + tap_array = mit_sot_tap_array + [[-1] for x in range(n_sit_sot)] info = OrderedDict() info['tap_array'] = tap_array @@ -991,7 +991,7 @@ mit_sot_scan_inputs + sit_sot_scan_inputs + shared_scan_inputs + - [actual_n_steps for x in xrange(n_nit_sot)] + + [actual_n_steps for x in range(n_nit_sot)] + other_shared_scan_args + other_scan_args) @@ -1037,7 +1037,7 @@ offsets) offset += n_mit_sot - offsets = [1 for x in xrange(n_sit_sot)] + offsets = [1 for x in range(n_sit_sot)] sit_sot_outs = remove_dimensions( scan_outs[offset:offset + n_sit_sot], sit_sot_return_steps, --- ./theano/scalar/sharedvar.py (original) +++ ./theano/scalar/sharedvar.py (refactored) @@ -23,7 +23,7 @@ import numpy from theano.compile import SharedVariable -from basic import Scalar, _scalar_py_operators +from .basic import Scalar, _scalar_py_operators class ScalarSharedVariable(_scalar_py_operators, SharedVariable): pass --- ./theano/scalar/basic_scipy.py (original) +++ ./theano/scalar/basic_scipy.py (refactored) @@ -171,7 +171,9 @@ else: super(Gamma, self).impl(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme, xxx_todo_changeme1): + (x, ) = xxx_todo_changeme + (gz, ) = xxx_todo_changeme1 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -182,7 +184,9 @@ return gz * gamma(x) * psi(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme2, xxx_todo_changeme3, sub): + (x, ) = xxx_todo_changeme2 + (z, ) = xxx_todo_changeme3 if node.inputs[0].type in float_types: return """%(z)s = tgamma(%(x)s);""" % locals() raise NotImplementedError('only floating point is implemented') --- ./theano/scalar/basic.py (original) +++ ./theano/scalar/basic.py (refactored) @@ -15,7 +15,7 @@ import math import warnings from copy import copy -from itertools import imap + from textwrap import dedent import numpy @@ -150,7 +150,7 @@ raise TypeError('Value cannot accurately be converted to dtype' ' (%s) and allow_downcast is not True' % self.dtype) - except Exception, e: + except Exception as e: raise TypeError("Could not convert %s (value=%s) to %s" % ( type(data), data, self.dtype), e) @@ -854,7 +854,7 @@ if hasattr(self, 'name') and self.name: return self.name else: - param = [(k, v) for k, v in self.__dict__.items() + param = [(k, v) for k, v in list(self.__dict__.items()) if k not in ["name", "_op_use_c_code"]] if param: return "%s{%s}" % (self.__class__.__name__, @@ -887,7 +887,9 @@ amd_float32 = None amd_float64 = None - def c_code_contiguous(self, node, name, (x, ), (z, ), sub): + def c_code_contiguous(self, node, name, xxx_todo_changeme, xxx_todo_changeme1, sub): + (x, ) = xxx_todo_changeme + (z, ) = xxx_todo_changeme1 if (not theano.config.lib.amdlibm or # We compare the dtype AND the broadcast flag # as this function do not broadcast @@ -960,7 +962,9 @@ # built-in < don't support complex return numpy.less(x, y) - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme2, xxx_todo_changeme3, sub): + (x, y) = xxx_todo_changeme2 + (z, ) = xxx_todo_changeme3 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = (%(x)s < %(y)s);" % locals() @@ -976,7 +980,9 @@ # built-in > don't support complex return numpy.greater(x, y) - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme4, xxx_todo_changeme5, sub): + (x, y) = xxx_todo_changeme4 + (z, ) = xxx_todo_changeme5 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = (%(x)s > %(y)s);" % locals() @@ -992,7 +998,9 @@ # built-in <= don't support complex return numpy.less_equal(x, y) - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme6, xxx_todo_changeme7, sub): + (x, y) = xxx_todo_changeme6 + (z, ) = xxx_todo_changeme7 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = (%(x)s <= %(y)s);" % locals() @@ -1008,7 +1016,9 @@ # built-in >= don't support complex return numpy.greater_equal(x, y) - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme8, xxx_todo_changeme9, sub): + (x, y) = xxx_todo_changeme8 + (z, ) = xxx_todo_changeme9 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = (%(x)s >= %(y)s);" % locals() @@ -1023,7 +1033,9 @@ def impl(self, x, y): return x == y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme10, xxx_todo_changeme11, sub): + (x, y) = xxx_todo_changeme10 + (z, ) = xxx_todo_changeme11 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = (%(x)s == %(y)s);" % locals() @@ -1038,7 +1050,9 @@ def impl(self, x, y): return x != y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme12, xxx_todo_changeme13, sub): + (x, y) = xxx_todo_changeme12 + (z, ) = xxx_todo_changeme13 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = (%(x)s != %(y)s);" % locals() @@ -1049,7 +1063,9 @@ def impl(self, x): return numpy.isnan(x) - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme14, xxx_todo_changeme15, sub): + (x, ) = xxx_todo_changeme14 + (z, ) = xxx_todo_changeme15 if node.inputs[0].type in complex_types: raise NotImplementedError() return "%(z)s = isnan(%(x)s);" % locals() @@ -1060,7 +1076,9 @@ def impl(self, x): return numpy.isinf(x) - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme16, xxx_todo_changeme17, sub): + (x, ) = xxx_todo_changeme16 + (z, ) = xxx_todo_changeme17 if node.inputs[0].type in complex_types: raise NotImplementedError() # Note that the C isinf returns -1 for -Inf and +1 for +Inf, while @@ -1088,7 +1106,9 @@ return False return True - def c_code(self, node, name, (x, low, hi), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme18, xxx_todo_changeme19, sub): + (x, low, hi) = xxx_todo_changeme18 + (z, ) = xxx_todo_changeme19 if self.openlow: cmp1 = '>' else: @@ -1107,7 +1127,9 @@ return ("%(z)s = %(x)s %(cmp1)s %(low)s &&" " %(x)s %(cmp2)s %(hi)s;" % locals()) - def grad(self, (x, low, hi), (gz, )): + def grad(self, xxx_todo_changeme20, xxx_todo_changeme21): + (x, low, hi) = xxx_todo_changeme20 + (gz, ) = xxx_todo_changeme21 return None, None, None inopenrange = InRange(True, True) inclosedrange = InRange(False, False) @@ -1124,10 +1146,14 @@ #backport #return ift if cond else iff - def c_code(self, node, name, (cond, ift, iff), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme22, xxx_todo_changeme23, sub): + (cond, ift, iff) = xxx_todo_changeme22 + (z, ) = xxx_todo_changeme23 return "%(z)s = %(cond)s ? %(ift)s : %(iff)s;" % locals() - def grad(self, (cond, ift, iff), (gz, )): + def grad(self, xxx_todo_changeme24, xxx_todo_changeme25): + (cond, ift, iff) = xxx_todo_changeme24 + (gz, ) = xxx_todo_changeme25 first_part = switch(cond, gz, 0.) second_part = switch(cond, 0., gz) @@ -1143,7 +1169,8 @@ return (condition_grad, first_part, second_part) - def output_types(self, (cond_t, ift_t, iff_t)): + def output_types(self, xxx_todo_changeme26): + (cond_t, ift_t, iff_t) = xxx_todo_changeme26 return upcast_out(ift_t, iff_t) switch = Switch() @@ -1187,7 +1214,9 @@ def impl(self, x, y): return x | y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme27, xxx_todo_changeme28, sub): + (x, y) = xxx_todo_changeme27 + (z, ) = xxx_todo_changeme28 return "%(z)s = (%(x)s | %(y)s);" % locals() or_ = OR() @@ -1200,7 +1229,9 @@ def impl(self, x, y): return x ^ y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme29, xxx_todo_changeme30, sub): + (x, y) = xxx_todo_changeme29 + (z, ) = xxx_todo_changeme30 return "%(z)s = (%(x)s ^ %(y)s);" % locals() xor = XOR() @@ -1213,7 +1244,9 @@ def impl(self, x, y): return x & y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme31, xxx_todo_changeme32, sub): + (x, y) = xxx_todo_changeme31 + (z, ) = xxx_todo_changeme32 return "%(z)s = (%(x)s & %(y)s);" % locals() and_ = AND() @@ -1222,7 +1255,9 @@ def impl(self, x): return ~x - def c_code(self, node, name, (x,), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme33, xxx_todo_changeme34, sub): + (x,) = xxx_todo_changeme33 + (z, ) = xxx_todo_changeme34 return "%(z)s = (~%(x)s);" % locals() invert = Invert() @@ -1238,14 +1273,18 @@ # The built-in max function don't support complex type return numpy.maximum(*inputs) - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme35, xxx_todo_changeme36, sub): + (x, y) = xxx_todo_changeme35 + (z, ) = xxx_todo_changeme36 if any([i.type in complex_types for i in node.inputs]): raise NotImplementedError() # Test for both y>x and x>=y to detect NaN return ('%(z)s = ((%(y)s)>(%(x)s)? (%(y)s): ' '((%(x)s)>=(%(y)s)? (%(x)s): nan("")));' % locals()) - def grad(self, (x, y), (gz, )): + def grad(self, xxx_todo_changeme37, xxx_todo_changeme38): + (x, y) = xxx_todo_changeme37 + (gz, ) = xxx_todo_changeme38 if gz.type in complex_types: # max is currently defined for complex_types, # but the gradient for complex is not. @@ -1272,13 +1311,17 @@ # The built-in min function don't support complex type return numpy.minimum(*inputs) - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme39, xxx_todo_changeme40, sub): + (x, y) = xxx_todo_changeme39 + (z, ) = xxx_todo_changeme40 if any([i.type in complex_types for i in node.inputs]): raise NotImplementedError() return ('%(z)s = ((%(y)s)<(%(x)s)? (%(y)s): ' '((%(x)s)<=(%(y)s)? (%(x)s): nan("")));' % locals()) - def grad(self, (x, y), (gz, )): + def grad(self, xxx_todo_changeme41, xxx_todo_changeme42): + (x, y) = xxx_todo_changeme41 + (gz, ) = xxx_todo_changeme42 if gz.type in complex_types: # min is currently defined for complex_types, # but the gradient for complex is not. @@ -1302,13 +1345,15 @@ def impl(self, *inputs): return sum(inputs) - def c_code(self, node, name, inputs, (z, ), sub): + def c_code(self, node, name, inputs, xxx_todo_changeme43, sub): + (z, ) = xxx_todo_changeme43 if not inputs: return z + " = 0;" else: return z + " = " + " + ".join(inputs) + ";" - def grad(self, inputs, (gz, )): + def grad(self, inputs, xxx_todo_changeme44): + (gz, ) = xxx_todo_changeme44 if gz.type in complex_types: raise NotImplementedError() if self(*inputs).type in discrete_types: @@ -1338,13 +1383,15 @@ def impl(self, *inputs): return numpy.product(inputs) - def c_code(self, node, name, inputs, (z, ), sub): + def c_code(self, node, name, inputs, xxx_todo_changeme45, sub): + (z, ) = xxx_todo_changeme45 if not inputs: return z + " = 1;" else: return z + " = " + " * ".join(inputs) + ";" - def grad(self, inputs, (gz, )): + def grad(self, inputs, xxx_todo_changeme46): + (gz, ) = xxx_todo_changeme46 retval = [] # The following 3 lines verify that gz is complex when the @@ -1386,10 +1433,14 @@ def impl(self, x, y): return x - y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme47, xxx_todo_changeme48, sub): + (x, y) = xxx_todo_changeme47 + (z, ) = xxx_todo_changeme48 return "%(z)s = %(x)s - %(y)s;" % locals() - def grad(self, (x, y), (gz, )): + def grad(self, xxx_todo_changeme49, xxx_todo_changeme50): + (x, y) = xxx_todo_changeme49 + (gz, ) = xxx_todo_changeme50 if gz.type in complex_types: raise NotImplementedError() @@ -1466,8 +1517,10 @@ else: return x / y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme51, xxx_todo_changeme52, sub): # we generate good c code only when both are complex! + (x, y) = xxx_todo_changeme51 + (z, ) = xxx_todo_changeme52 if sum([node.inputs[0].type in complex_types, node.inputs[1].type in complex_types]) == 1: raise NotImplementedError('type not supported', type) @@ -1476,8 +1529,10 @@ return "%(z)s = ((double)%(x)s) / %(y)s;" % locals() return "%(z)s = %(x)s / %(y)s;" % locals() - def grad(self, (x, y), (gz, )): - + def grad(self, xxx_todo_changeme53, xxx_todo_changeme54): + + (x, y) = xxx_todo_changeme53 + (gz, ) = xxx_todo_changeme54 if x.type in complex_types: raise NotImplementedError() @@ -1516,16 +1571,18 @@ # of string formatting. return "#define THEANO_MACRO_MOD(x,y) (x % y)" - def c_code(self, node, name, (x, y), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme55, xxx_todo_changeme56, sub): + (x, y) = xxx_todo_changeme55 + (z,) = xxx_todo_changeme56 t = node.inputs[0].type.upcast(*[i.type for i in node.inputs[1:]]) - if t in imap(str, discrete_types): + if t in map(str, discrete_types): x_div_y_pp = '(%(x)s / %(y)s)' % locals() x_div_y_mp = '((-%(x)s) / %(y)s)' % locals() x_mod_y_mp = 'THEANO_MACRO_MOD((-%(x)s), %(y)s)' % locals() x_div_y_pm = '(%(x)s / (-%(y)s))' % locals() x_mod_y_pm = 'THEANO_MACRO_MOD(%(x)s, (-%(y)s))' % locals() x_div_y_mm = '((-%(x)s) / (-%(y)s))' % locals() - elif t in imap(str, float_types): + elif t in map(str, float_types): # We need to call different functions of math.h # depending on the type if t == 'float32': @@ -1604,38 +1661,38 @@ # of string formatting. return "#define THEANO_MACRO_MOD(x,y) (x % y)" - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme57, xxx_todo_changeme58, sub): """ We want the result to have the same sign as python, not the other implementation of mod. """ - # raise NotImplementedError("Unlike Python, C's modulo returns negative - # modulo on negative dividend (to implement)") + (x, y) = xxx_todo_changeme57 + (z, ) = xxx_todo_changeme58 t = node.inputs[0].type.upcast(*[i.type for i in node.inputs[1:]]) - if (str(t) in imap(str, discrete_types) or + if (str(t) in map(str, discrete_types) or t in ['uint8', 'int8', 'uint16', 'int16'] or t in ['uint32', 'int32', 'uint64', 'int64'] or t in discrete_types): # The above or's should not be needed anymore. However, for now we # keep them out of safety, and verify they are useless with an # assert. - assert str(t) in imap(str, discrete_types) + assert str(t) in map(str, discrete_types) x_mod_y = "THEANO_MACRO_MOD(%(x)s, %(y)s)" % locals() x_mod_ymm = "THEANO_MACRO_MOD(-%(x)s, -%(y)s)" % locals() x_mod_ypm = "THEANO_MACRO_MOD(%(x)s, -%(y)s)" % locals() x_mod_ymp = "THEANO_MACRO_MOD(-%(x)s, %(y)s)" % locals() - elif (str(t) in imap(str, float_types) or + elif (str(t) in map(str, float_types) or t in ['float32', 'float64'] or t in float_types): # The above or's should not be needed anymore. However, for now we # keep them out of safety, and verify they are useless with an # assert. - assert str(t) in imap(str, float_types) + assert str(t) in map(str, float_types) x_mod_y = "fmod(%(x)s,%(y)s)" % locals() x_mod_ymm = "fmod(-%(x)s,-%(y)s)" % locals() x_mod_ypm = "fmod(%(x)s,-%(y)s)" % locals() x_mod_ymp = "fmod(-%(x)s,%(y)s)" % locals() - elif str(t) in imap(str, complex_types): + elif str(t) in map(str, complex_types): raise self.complex_error else: raise NotImplementedError('type not supported', t) @@ -1654,7 +1711,9 @@ } """) % locals() - def grad(self, (x, y), (gz, )): + def grad(self, xxx_todo_changeme59, xxx_todo_changeme60): + (x, y) = xxx_todo_changeme59 + (gz, ) = xxx_todo_changeme60 return [x.zeros_like(dtype=theano.config.floatX), y.zeros_like(dtype=theano.config.floatX)] mod = Mod(upcast_out, name='mod') @@ -1664,13 +1723,17 @@ def impl(self, x, y): return x ** y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme61, xxx_todo_changeme62, sub): + (x, y) = xxx_todo_changeme61 + (z, ) = xxx_todo_changeme62 if (node.inputs[0].type in complex_types or node.inputs[1].type in complex_types): raise NotImplementedError('type not supported', type) return "%(z)s = pow(%(x)s, %(y)s);" % locals() - def grad(self, (x, y), (gz, )): + def grad(self, xxx_todo_changeme63, xxx_todo_changeme64): + (x, y) = xxx_todo_changeme63 + (gz, ) = xxx_todo_changeme64 if gz.type in complex_types: raise NotImplementedError() @@ -1684,7 +1747,9 @@ return (first_part, second_part) - def c_code_contiguous(self, node, name, (x, y), (z, ), sub): + def c_code_contiguous(self, node, name, xxx_todo_changeme65, xxx_todo_changeme66, sub): + (x, y) = xxx_todo_changeme65 + (z, ) = xxx_todo_changeme66 if not theano.config.lib.amdlibm: raise theano.gof.utils.MethodNotDefined() @@ -1738,10 +1803,14 @@ else: return x - def c_code(self, node, name, (x, min, max), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme67, xxx_todo_changeme68, sub): + (x, min, max) = xxx_todo_changeme67 + (z, ) = xxx_todo_changeme68 return "%(z)s = %(x)s < %(min)s ? %(min)s : %(x)s > %(max)s ? %(max)s : %(x)s;" % locals() - def grad(self, (x, mn, mx), (gz, )): + def grad(self, xxx_todo_changeme69, xxx_todo_changeme70): + (x, mn, mx) = xxx_todo_changeme69 + (gz, ) = xxx_todo_changeme70 assert gz.type not in complex_types gx = ((x > mn) & (x < mx)) * gz gmn = (x < mn) * gz @@ -1754,7 +1823,7 @@ return v.zeros_like().astype(config.floatX) return v - return map(handle_int, [gx, gmn, gmx]) + return list(map(handle_int, [gx, gmn, gmx])) # Don't allow complex even if numpy do # As there is no mathematical reason for this function on complex @@ -1765,7 +1834,9 @@ def impl(self, x, y): return y - def c_code(self, node, name, (x, y), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme71, xxx_todo_changeme72, sub): + (x, y) = xxx_todo_changeme71 + (z, ) = xxx_todo_changeme72 return "%(z)s = %(y)s;" % locals() def connection_pattern(self, node): @@ -1775,8 +1846,10 @@ return [[False], [True]] - def grad(self, (x, y), (gz, )): - + def grad(self, xxx_todo_changeme73, xxx_todo_changeme74): + + (x, y) = xxx_todo_changeme73 + (gz, ) = xxx_todo_changeme74 if y.type in continuous_types: # x is disconnected because the elements of x are not used return DisconnectedType()(), gz @@ -1794,10 +1867,14 @@ def impl(self, input): return input - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme75, xxx_todo_changeme76, sub): + (x, ) = xxx_todo_changeme75 + (z, ) = xxx_todo_changeme76 return "%(z)s = %(x)s;" % locals() - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme77, xxx_todo_changeme78): + (x, ) = xxx_todo_changeme77 + (gz, ) = xxx_todo_changeme78 if x.type in continuous_types: return gz, else: @@ -1820,10 +1897,14 @@ def impl(self, input): return self.ctor(input) - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme79, xxx_todo_changeme80, sub): + (x, ) = xxx_todo_changeme79 + (z, ) = xxx_todo_changeme80 return "%s = (%s)%s;" % (z, node.outputs[0].type.dtype_specs()[1], x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme81, xxx_todo_changeme82): + (x, ) = xxx_todo_changeme81 + (gz, ) = xxx_todo_changeme82 if self.o_type in continuous_types: return [gz] else: @@ -1893,7 +1974,9 @@ def impl(self, x): return numpy.abs(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme83, xxx_todo_changeme84): + (x, ) = xxx_todo_changeme83 + (gz, ) = xxx_todo_changeme84 if self(x).type in discrete_types: if x.type in discrete_types: return [x.zeros_like(dtype=theano.config.floatX)] @@ -1902,7 +1985,9 @@ return gz * x / abs(x), # formula works for complex and real - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme85, xxx_todo_changeme86, sub): + (x, ) = xxx_todo_changeme85 + (z, ) = xxx_todo_changeme86 type = node.inputs[0].type if type in int_types: return "%(z)s = abs(%(x)s);" % locals() @@ -1919,8 +2004,10 @@ #casting to output type is handled by filter return numpy.sign(x) - def grad(self, (x, ), (gz, )): - + def grad(self, xxx_todo_changeme87, xxx_todo_changeme88): + + (x, ) = xxx_todo_changeme87 + (gz, ) = xxx_todo_changeme88 rval = x.zeros_like() if rval.type.dtype in discrete_types: @@ -1928,9 +2015,11 @@ return [rval] - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme89, xxx_todo_changeme90, sub): #casting is done by compiler #TODO: use copysign + (x, ) = xxx_todo_changeme89 + (z, ) = xxx_todo_changeme90 type = node.inputs[0].type if type in float_types: return "%(z)s = (%(x)s >= 0) ? (%(x)s == 0) ? 0.0 : 1.0 : -1.0;" % locals() @@ -1951,7 +2040,9 @@ def impl(self, x): return numpy.ceil(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme91, xxx_todo_changeme92): + (x,) = xxx_todo_changeme91 + (gz,) = xxx_todo_changeme92 rval = x.zeros_like() if rval.type.dtype in discrete_types: @@ -1959,7 +2050,9 @@ return [rval] - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme93, xxx_todo_changeme94, sub): + (x,) = xxx_todo_changeme93 + (z,) = xxx_todo_changeme94 return "%(z)s = ceil(%(x)s);" % locals() ceil = Ceil(same_out_nocomplex, name='ceil') @@ -1968,7 +2061,9 @@ def impl(self, x): return numpy.floor(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme95, xxx_todo_changeme96): + (x,) = xxx_todo_changeme95 + (gz,) = xxx_todo_changeme96 rval = x.zeros_like() if rval.type.dtype in discrete_types: @@ -1976,7 +2071,9 @@ return [rval] - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme97, xxx_todo_changeme98, sub): + (x,) = xxx_todo_changeme97 + (z,) = xxx_todo_changeme98 return "%(z)s = floor(%(x)s);" % locals() floor = Floor(same_out_nocomplex, name='floor') @@ -1985,10 +2082,14 @@ def impl(self, x): return numpy.trunc(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme99, xxx_todo_changeme100): + (x,) = xxx_todo_changeme99 + (gz,) = xxx_todo_changeme100 return [x.zeros_like().astype(theano.config.floatX)] - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme101, xxx_todo_changeme102, sub): + (x,) = xxx_todo_changeme101 + (z,) = xxx_todo_changeme102 return "%(z)s = %(x)s >= 0? floor(%(x)s): -floor(-%(x)s);" % locals() trunc = Trunc(same_out_nocomplex, name='trunc') @@ -2003,7 +2104,9 @@ def impl(self, x): return numpy.round(x) - def c_code___(self, node, name, (x, ), (z, ), sub): + def c_code___(self, node, name, xxx_todo_changeme103, xxx_todo_changeme104, sub): + (x, ) = xxx_todo_changeme103 + (z, ) = xxx_todo_changeme104 typ = node.outputs[0].type.dtype if not typ in ['float32', 'float64']: Exception("The output should be float32 or float64") @@ -2088,7 +2191,9 @@ return round_half_away_from_zero_vec(x) - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme105, xxx_todo_changeme106, sub): + (x, ) = xxx_todo_changeme105 + (z, ) = xxx_todo_changeme106 if node.outputs[0].type.dtype in ['float32', 'float64']: return "%(z)s = round(%(x)s);" % locals() else: @@ -2100,7 +2205,9 @@ def impl(self, x): return -x - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme107, xxx_todo_changeme108): + (x,) = xxx_todo_changeme107 + (gz,) = xxx_todo_changeme108 if self(x).type in discrete_types: if x.type in discrete_types: return [x.zeros_like(dtype=theano.config.floatX)] @@ -2109,7 +2216,9 @@ return -gz, - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme109, xxx_todo_changeme110, sub): + (x,) = xxx_todo_changeme109 + (z,) = xxx_todo_changeme110 return "%(z)s = -%(x)s;" % locals() neg = Neg(same_out, name='neg') @@ -2119,7 +2228,9 @@ def impl(self, x): return 1.0 / x - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme111, xxx_todo_changeme112): + (x,) = xxx_todo_changeme111 + (gz,) = xxx_todo_changeme112 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2130,7 +2241,9 @@ return -gz / (x * x), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme113, xxx_todo_changeme114, sub): + (x,) = xxx_todo_changeme113 + (z,) = xxx_todo_changeme114 return "%(z)s = 1.0 / %(x)s;" % locals() inv = Inv(upgrade_to_float, name='inv') @@ -2143,7 +2256,9 @@ def impl(self, x): return numpy.log(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme115, xxx_todo_changeme116): + (x,) = xxx_todo_changeme115 + (gz,) = xxx_todo_changeme116 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2154,10 +2269,12 @@ return gz / x, - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme117, xxx_todo_changeme118, sub): #todo: the version using log2 seems to be very slightly faster # on some machines for some reason, check if it's worth switching #return "%(z)s = log2(%(x)s) * 0.69314718055994529;" % locals() + (x,) = xxx_todo_changeme117 + (z,) = xxx_todo_changeme118 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = log(%(x)s);" % locals() @@ -2172,7 +2289,9 @@ def impl(self, x): return numpy.log2(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme119, xxx_todo_changeme120): + (x,) = xxx_todo_changeme119 + (gz,) = xxx_todo_changeme120 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2183,7 +2302,9 @@ return gz / (x * math.log(2.0)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme121, xxx_todo_changeme122, sub): + (x, ) = xxx_todo_changeme121 + (z, ) = xxx_todo_changeme122 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = log2(%(x)s);" % locals() @@ -2198,7 +2319,9 @@ def impl(self, x): return numpy.log10(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme123, xxx_todo_changeme124): + (x,) = xxx_todo_changeme123 + (gz,) = xxx_todo_changeme124 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2209,7 +2332,9 @@ return gz / (x * numpy.log(10.0)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme125, xxx_todo_changeme126, sub): + (x, ) = xxx_todo_changeme125 + (z, ) = xxx_todo_changeme126 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = log10(%(x)s);" % locals() @@ -2221,7 +2346,9 @@ def impl(self, x): return numpy.log1p(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme127, xxx_todo_changeme128): + (x,) = xxx_todo_changeme127 + (gz,) = xxx_todo_changeme128 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2232,7 +2359,9 @@ return [gz / (1 + x)] - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme129, xxx_todo_changeme130, sub): + (x, ) = xxx_todo_changeme129 + (z, ) = xxx_todo_changeme130 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = log1p(%(x)s);" % locals() @@ -2246,7 +2375,9 @@ def impl(self, x): return numpy.exp(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme131, xxx_todo_changeme132): + (x, ) = xxx_todo_changeme131 + (gz, ) = xxx_todo_changeme132 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2257,7 +2388,9 @@ return gz * exp(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme133, xxx_todo_changeme134, sub): + (x, ) = xxx_todo_changeme133 + (z, ) = xxx_todo_changeme134 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = exp(%(x)s);" % locals() @@ -2268,7 +2401,9 @@ def impl(self, x): return numpy.exp2(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme135, xxx_todo_changeme136): + (x, ) = xxx_todo_changeme135 + (gz, ) = xxx_todo_changeme136 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2279,7 +2414,9 @@ return gz * exp2(x) * log(numpy.cast[x.type](2)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme137, xxx_todo_changeme138, sub): + (x, ) = xxx_todo_changeme137 + (z, ) = xxx_todo_changeme138 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = exp2(%(x)s);" % locals() @@ -2290,7 +2427,9 @@ def impl(self, x): return numpy.expm1(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme139, xxx_todo_changeme140): + (x, ) = xxx_todo_changeme139 + (gz, ) = xxx_todo_changeme140 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2301,7 +2440,9 @@ return gz * exp(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme141, xxx_todo_changeme142, sub): + (x, ) = xxx_todo_changeme141 + (z, ) = xxx_todo_changeme142 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = exp(%(x)s) - 1;" % locals() @@ -2312,7 +2453,9 @@ def impl(self, x): return x * x - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme143, xxx_todo_changeme144): + (x, ) = xxx_todo_changeme143 + (gz, ) = xxx_todo_changeme144 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2323,7 +2466,9 @@ return gz * x * 2, - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme145, xxx_todo_changeme146, sub): + (x, ) = xxx_todo_changeme145 + (z, ) = xxx_todo_changeme146 return "%(z)s = %(x)s * %(x)s;" % locals() sqr = Sqr(same_out, name='sqr') @@ -2332,7 +2477,9 @@ def impl(self, x): return numpy.sqrt(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme147, xxx_todo_changeme148): + (x,) = xxx_todo_changeme147 + (gz,) = xxx_todo_changeme148 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2343,7 +2490,9 @@ return (gz * 0.5) / sqrt(x), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme149, xxx_todo_changeme150, sub): + (x,) = xxx_todo_changeme149 + (z,) = xxx_todo_changeme150 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = sqrt(%(x)s);" % locals() @@ -2354,7 +2503,9 @@ def impl(self, x): return numpy.deg2rad(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme151, xxx_todo_changeme152): + (x,) = xxx_todo_changeme151 + (gz,) = xxx_todo_changeme152 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2365,7 +2516,9 @@ return gz * numpy.asarray(numpy.pi / 180, gz.type), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme153, xxx_todo_changeme154, sub): + (x,) = xxx_todo_changeme153 + (z,) = xxx_todo_changeme154 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = %(x)s * (M_PI / 180.0);" % locals() @@ -2376,7 +2529,9 @@ def impl(self, x): return numpy.rad2deg(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme155, xxx_todo_changeme156): + (x,) = xxx_todo_changeme155 + (gz,) = xxx_todo_changeme156 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2387,7 +2542,9 @@ return gz * numpy.asarray(180. / numpy.pi, gz.type), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme157, xxx_todo_changeme158, sub): + (x,) = xxx_todo_changeme157 + (z,) = xxx_todo_changeme158 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = %(x)s * (180.0 / M_PI);" % locals() @@ -2401,7 +2558,9 @@ def impl(self, x): return numpy.cos(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme159, xxx_todo_changeme160): + (x, ) = xxx_todo_changeme159 + (gz, ) = xxx_todo_changeme160 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2412,7 +2571,9 @@ return -gz * sin(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme161, xxx_todo_changeme162, sub): + (x, ) = xxx_todo_changeme161 + (z, ) = xxx_todo_changeme162 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = cos(%(x)s);" % locals() @@ -2423,7 +2584,9 @@ def impl(self, x): return numpy.arccos(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme163, xxx_todo_changeme164): + (x,) = xxx_todo_changeme163 + (gz,) = xxx_todo_changeme164 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2434,7 +2597,9 @@ return - gz / sqrt(numpy.cast[x.type](1) - sqr(x)), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme165, xxx_todo_changeme166, sub): + (x,) = xxx_todo_changeme165 + (z,) = xxx_todo_changeme166 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = acos(%(x)s);" % locals() @@ -2448,7 +2613,9 @@ def impl(self, x): return numpy.sin(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme167, xxx_todo_changeme168): + (x, ) = xxx_todo_changeme167 + (gz, ) = xxx_todo_changeme168 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2459,7 +2626,9 @@ return gz * cos(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme169, xxx_todo_changeme170, sub): + (x, ) = xxx_todo_changeme169 + (z, ) = xxx_todo_changeme170 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = sin(%(x)s);" % locals() @@ -2470,7 +2639,9 @@ def impl(self, x): return numpy.arcsin(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme171, xxx_todo_changeme172): + (x,) = xxx_todo_changeme171 + (gz,) = xxx_todo_changeme172 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2481,7 +2652,9 @@ return gz / sqrt(numpy.cast[x.type](1) - sqr(x)), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme173, xxx_todo_changeme174, sub): + (x,) = xxx_todo_changeme173 + (z,) = xxx_todo_changeme174 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = asin(%(x)s);" % locals() @@ -2492,7 +2665,9 @@ def impl(self, x): return numpy.tan(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme175, xxx_todo_changeme176): + (x,) = xxx_todo_changeme175 + (gz,) = xxx_todo_changeme176 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2503,7 +2678,9 @@ return gz / sqr(cos(x)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme177, xxx_todo_changeme178, sub): + (x, ) = xxx_todo_changeme177 + (z, ) = xxx_todo_changeme178 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = tan(%(x)s);" % locals() @@ -2514,7 +2691,9 @@ def impl(self, x): return numpy.arctan(x) - def grad(self, (x,), (gz,)): + def grad(self, xxx_todo_changeme179, xxx_todo_changeme180): + (x,) = xxx_todo_changeme179 + (gz,) = xxx_todo_changeme180 if gz.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2525,7 +2704,9 @@ return gz / (numpy.cast[x.type](1) + sqr(x)), - def c_code(self, node, name, (x,), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme181, xxx_todo_changeme182, sub): + (x,) = xxx_todo_changeme181 + (z,) = xxx_todo_changeme182 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = atan(%(x)s);" % locals() @@ -2536,7 +2717,9 @@ def impl(self, y, x): return numpy.arctan2(y, x) - def grad(self, (y, x), (gz,)): + def grad(self, xxx_todo_changeme183, xxx_todo_changeme184): + (y, x) = xxx_todo_changeme183 + (gz,) = xxx_todo_changeme184 if gz.type in complex_types: raise NotImplementedError() else: @@ -2556,7 +2739,9 @@ return [gz * x / (sqr(x) + sqr(y)), gz * neg(y) / (sqr(x) + sqr(y))] - def c_code(self, node, name, (y, x), (z,), sub): + def c_code(self, node, name, xxx_todo_changeme185, xxx_todo_changeme186, sub): + (y, x) = xxx_todo_changeme185 + (z,) = xxx_todo_changeme186 if (node.inputs[0].type in complex_types or node.inputs[1].type in complex_types): raise NotImplementedError('type not supported', type) @@ -2571,7 +2756,9 @@ def impl(self, x): return numpy.cosh(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme187, xxx_todo_changeme188): + (x, ) = xxx_todo_changeme187 + (gz, ) = xxx_todo_changeme188 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2582,7 +2769,9 @@ return gz * sinh(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme189, xxx_todo_changeme190, sub): + (x, ) = xxx_todo_changeme189 + (z, ) = xxx_todo_changeme190 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = cosh(%(x)s);" % locals() @@ -2593,7 +2782,9 @@ def impl(self, x): return numpy.arccosh(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme191, xxx_todo_changeme192): + (x, ) = xxx_todo_changeme191 + (gz, ) = xxx_todo_changeme192 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2604,7 +2795,9 @@ return gz / sqrt(sqr(x) - numpy.cast[x.type](1)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme193, xxx_todo_changeme194, sub): + (x, ) = xxx_todo_changeme193 + (z, ) = xxx_todo_changeme194 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = acosh(%(x)s);" % locals() @@ -2618,7 +2811,9 @@ def impl(self, x): return numpy.sinh(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme195, xxx_todo_changeme196): + (x, ) = xxx_todo_changeme195 + (gz, ) = xxx_todo_changeme196 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2629,7 +2824,9 @@ return gz * cosh(x), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme197, xxx_todo_changeme198, sub): + (x, ) = xxx_todo_changeme197 + (z, ) = xxx_todo_changeme198 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = sinh(%(x)s);" % locals() @@ -2640,7 +2837,9 @@ def impl(self, x): return numpy.arcsinh(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme199, xxx_todo_changeme200): + (x, ) = xxx_todo_changeme199 + (gz, ) = xxx_todo_changeme200 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2651,7 +2850,9 @@ return gz / sqrt(sqr(x) + numpy.cast[x.type](1)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme201, xxx_todo_changeme202, sub): + (x, ) = xxx_todo_changeme201 + (z, ) = xxx_todo_changeme202 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = asinh(%(x)s);" % locals() @@ -2666,7 +2867,9 @@ def impl(self, x): return numpy.tanh(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme203, xxx_todo_changeme204): + (x, ) = xxx_todo_changeme203 + (gz, ) = xxx_todo_changeme204 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2677,7 +2880,9 @@ return gz * (1 - sqr(tanh(x))), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme205, xxx_todo_changeme206, sub): + (x, ) = xxx_todo_changeme205 + (z, ) = xxx_todo_changeme206 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = tanh(%(x)s);" % locals() @@ -2688,7 +2893,9 @@ def impl(self, x): return numpy.arctanh(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme207, xxx_todo_changeme208): + (x, ) = xxx_todo_changeme207 + (gz, ) = xxx_todo_changeme208 if x.type in complex_types: raise NotImplementedError() if self(x).type in discrete_types: @@ -2699,7 +2906,9 @@ return gz / (numpy.cast[x.type](1) - sqr(x)), - def c_code(self, node, name, (x, ), (z, ), sub): + def c_code(self, node, name, xxx_todo_changeme209, xxx_todo_changeme210, sub): + (x, ) = xxx_todo_changeme209 + (z, ) = xxx_todo_changeme210 if node.inputs[0].type in complex_types: raise NotImplementedError('type not supported', type) return "%(z)s = atanh(%(x)s);" % locals() @@ -2711,7 +2920,9 @@ def impl(self, x): return numpy.real(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme211, xxx_todo_changeme212): + (x, ) = xxx_todo_changeme211 + (gz, ) = xxx_todo_changeme212 return [complex(gz, 0)] real = Real(real_out, name='real') @@ -2721,7 +2932,9 @@ def impl(self, x): return numpy.imag(x) - def grad(self, (x, ), (gz, )): + def grad(self, xxx_todo_changeme213, xxx_todo_changeme214): + (x, ) = xxx_todo_changeme213 + (gz, ) = xxx_todo_changeme214 if x.type in complex_types: return [complex(0, gz)] elif x.type in float_types: @@ -2735,7 +2948,7 @@ def impl(self, x): return numpy.angle(x) - def grad(self, (c, ), (gtheta, )): + def grad(self, xxx_todo_changeme215, xxx_todo_changeme216): # y = x.imag # r = sqrt(y**2 + x.real**2) # g = y/r @@ -2746,6 +2959,8 @@ # else: # theta = -numpy.arcsin(g)+numpy.pi + (c, ) = xxx_todo_changeme215 + (gtheta, ) = xxx_todo_changeme216 x = real(c) y = imag(c) r = abs(c) @@ -2780,7 +2995,9 @@ def impl(self, x, y): return numpy.complex(x, y) - def grad(self, (x, y), (gz,)): + def grad(self, xxx_todo_changeme217, xxx_todo_changeme218): + (x, y) = xxx_todo_changeme217 + (gz,) = xxx_todo_changeme218 return [cast(real(gz), x.type.dtype), cast(imag(gz), y.type.dtype)] complex = Complex(name='complex') @@ -2807,7 +3024,9 @@ else: return numpy.complex128(numpy.complex(x, y)) - def grad(self, (r, theta), (gz,)): + def grad(self, xxx_todo_changeme219, xxx_todo_changeme220): + (r, theta) = xxx_todo_changeme219 + (gz,) = xxx_todo_changeme220 gr = gz * complex_from_polar(1, theta) gtheta = gz * complex_from_polar(r, -theta) return [gr, gtheta] @@ -2842,10 +3061,10 @@ def init_c_code(self): """Return the C code for this Composite Op. """ subd = dict( - zip(self.fgraph.inputs, - ["%%(i%i)s" % i for i in xrange(len(self.fgraph.inputs))]) - + zip(self.fgraph.outputs, - ["%%(o%i)s" % i for i in xrange(len(self.fgraph.outputs))])) + list(zip(self.fgraph.inputs, + ["%%(i%i)s" % i for i in range(len(self.fgraph.inputs))])) + + list(zip(self.fgraph.outputs, + ["%%(o%i)s" % i for i in range(len(self.fgraph.outputs))]))) for orphan in self.fgraph.variables: # fgraph.orphans: if orphan.owner is None and orphan not in self.fgraph.inputs: @@ -2970,7 +3189,7 @@ assert len(inputs) == self.nin res = theano.compile.rebuild_collect_shared( self.outputs, - replace=dict(zip(self.inputs, inputs)), + replace=dict(list(zip(self.inputs, inputs))), rebuild_strict=False) # After rebuild_collect_shared, the Variable in inputs # are not necessarily in the graph represented by res. @@ -2985,7 +3204,7 @@ storage[0] = impl(inputs) def impl(self, *inputs): - output_storage = [[None] for i in xrange(self.nout)] + output_storagRefactoringTool: Refactored ./theano/scalar/__init__.py RefactoringTool: Refactored ./theano/sandbox/theano_object.py RefactoringTool: Refactored ./theano/sandbox/test_theano_object.py RefactoringTool: Refactored ./theano/sandbox/test_scan.py RefactoringTool: Refactored ./theano/sandbox/test_rng_mrg.py e = [[None] for i in range(self.nout)] self.perform(None, inputs, output_storage) return utils.to_return_values([storage[0] for storage in output_storage]) @@ -2994,10 +3213,10 @@ raise NotImplementedError("grad is not implemented for Composite") def c_code(self, node, nodename, inames, onames, sub): - d = dict(zip(["i%i" % i for i in xrange(len(inames))], - inames) + - zip(["o%i" % i for i in xrange(len(onames))], - onames), + d = dict(list(zip(["i%i" % i for i in range(len(inames))], + inames)) + + list(zip(["o%i" % i for i in range(len(onames))], + onames)), **sub) d['nodename'] = nodename if not 'id' in sub: --- ./theano/scalar/__init__.py (original) +++ ./theano/scalar/__init__.py (refactored) @@ -1,4 +1,4 @@ -from basic import * +from .basic import * -from basic_scipy import * +from .basic_scipy import * --- ./theano/sandbox/theano_object.py (original) +++ ./theano/sandbox/theano_object.py (refactored) @@ -168,10 +168,10 @@ if key not in cache: inputs = [a() for a in args_types] - print 'compiling', fn, 'for inputs', inputs + print('compiling', fn, 'for inputs', inputs) rval = fn(o_self, *inputs) - print 'compiling to compute outputs', rval.outputs + print('compiling to compute outputs', rval.outputs) if isinstance(rval.outputs, (tuple, list)): all_required_inputs = theano.gof.graph.inputs(rval.outputs) --- ./theano/sandbox/test_theano_object.py (original) +++ ./theano/sandbox/test_theano_object.py (refactored) @@ -1,11 +1,11 @@ -from theano_object import * +from .theano_object import * RUN_TESTS = False def run(TF): def deco(f): if TF and RUN_TESTS: - print 'running test', f.__name__ + print('running test', f.__name__) f() if RUN_TESTS: return f @@ -65,39 +65,39 @@ @run(False) def test_misc_prints(): MM = MyModule() - print MM - print 'add', MM.add(4) - print 'b', MM.value(MM.b) - print 'sub', MM.sub(45) - print 'b', MM.value(MM.b) - print MM.sub(23) - print MM.add(9) - print MM.add(19) - print 'b', MM.value(MM.b) - print 'a', MM.value(MM.a) + print(MM) + print('add', MM.add(4)) + print('b', MM.value(MM.b)) + print('sub', MM.sub(45)) + print('b', MM.value(MM.b)) + print(MM.sub(23)) + print(MM.add(9)) + print(MM.add(19)) + print('b', MM.value(MM.b)) + print('a', MM.value(MM.a)) MM.value_set(MM.a,6) MM.value_set(MM.b,6) - print MM.add(6) + print(MM.add(6)) try: MM.b = 5 - except Exception, e: - print e + except Exception as e: + print(e) MM.del_member(MM.b) try: - print 'b', MM.value(MM.b) - except Exception, e: - print e + print('b', MM.value(MM.b)) + except Exception as e: + print(e) MM.b = 'asdffd' try: - print 'b', MM.value(MM.b) - except Exception, e: - print e + print('b', MM.value(MM.b)) + except Exception as e: + print(e) try: - print 'b', MM.value(MM.b) - except Exception, e: - print 'E', e - print MM.b - print 'a', MM.value(MM.a) + print('b', MM.value(MM.b)) + except Exception as e: + print('E', e) + print(MM.b) + print('a', MM.value(MM.a)) --- ./theano/sandbox/test_scan.py (original) +++ ./theano/sandbox/test_scan.py (refactored) @@ -1,6 +1,6 @@ import theano import numpy -import scan +from . import scan def test_001(): --- ./theano/sandbox/test_rng_mrg.py (original) +++ ./theano/sandbox/test_rng_mrg.py (refactored) @@ -309,7 +309,7 @@ dt = 0.0 avg_var = 0.0 - for i in xrange(steps): + for i in range(steps): t0 = time.time() ival = f(*inputs) assert ival.shape == sample_sizRefactoringTool: Refactored ./theano/sandbox/test_neighbours.py RefactoringTool: No changes to ./theano/sandbox/test_neighbourhoods.py RefactoringTool: Refactored ./theano/sandbox/test_multinomial.py RefactoringTool: Refactored ./theano/sandbox/symbolic_module.py e @@ -637,7 +637,7 @@ dt = 0.0 avg_pvals = numpy.zeros(target_pvals.shape, dtype=config.floatX) - for i in xrange(steps): + for i in range(steps): t0 = time.time() ival = f() assert ival.shape == sample_size @@ -646,13 +646,13 @@ avg_pvals += ival avg_pvals /= steps - print 'random?[:10]\n', numpy.asarray(f()[:10]) - print prefix, 'mean', avg_pvals + print('random?[:10]\n', numpy.asarray(f()[:10])) + print(prefix, 'mean', avg_pvals) # < mean_rtol, 'bad mean? %s %s' % (str(avg_pvals), str(target_pvals)) - print numpy.mean(abs(avg_pvals - target_pvals)) - print prefix, 'time', dt - print prefix, 'elements', steps * numpy.prod(target_pvals.shape) - print prefix, 'samples/sec', steps * numpy.prod(target_pvals.shape) / dt + print(numpy.mean(abs(avg_pvals - target_pvals))) + print(prefix, 'time', dt) + print(prefix, 'elements', steps * numpy.prod(target_pvals.shape)) + print(prefix, 'samples/sec', steps * numpy.prod(target_pvals.shape) / dt) def test_multinomial(): --- ./theano/sandbox/test_neighbours.py (original) +++ ./theano/sandbox/test_neighbours.py (refactored) @@ -6,7 +6,7 @@ from theano import shared, function from theano.gof.python25 import any import theano.tensor as T -from neighbours import images2neibs, neibs2images, Images2Neibs +from .neighbours import images2neibs, neibs2images, Images2Neibs from theano.tests import unittest_tools --- ./theano/sandbox/test_multinomial.py (original) +++ ./theano/sandbox/test_multinomial.py (refactored) @@ -4,7 +4,7 @@ import theano from theano import config, function, tensor -import multinomial +from . import multinomial from theano.compile.mode import get_default_mode, predefined_linkers from theano.gof.python25 import any import theano.sandbox.cuda as cuda --- ./theano/sandbox/symbolic_module.py (original) +++ ./theano/sandbox/symbolic_module.py (refactored) @@ -21,15 +21,15 @@ return True return isinstance(v, theano.Variable) and not k.startswith('_') r = {} - for key, val in dct.items(): - if filter(key, val): + for key, val in list(dct.items()): + if list(filter(key, val)): r[key] = val return r build_graph_rval = cls.build_graph() if not isinstance(build_graph_rval, dict): raise TypeError('%s.build_graph did not return dictionary' % cls) dct = just_symbolic(build_graph_rval) - for key, val in dct.items(): + for key, val in list(dct.items()): #print ' adding class attribute', key if isinstance(val, theano.Variable) and val.name is None: val.name = key @@ -38,11 +38,8 @@ else: setattr(cls, key, val) -class SymbolicModule(object): +class SymbolicModule(object, metaclass=InitGraph): #installs class attributes from build_graph after declaration - __metaclass__ = InitGraph - - #if we call this function, it will return a new SymbolicModule def __new__(self, **kwargs): class SymMod(SymbolicModule): @staticmethod @@ -88,7 +85,7 @@ # this has the effect of creating new storage for these arguments # The common storage doesn't get messed with. inputs = [In(path_locals.get(name,name)) for name in args] - inputs.extend([v for k,v in common_inputs.items() if k not in args]) + inputs.extend([v for k,v in list(common_inputs.items()) if k not in args]) outputs = f() #print 'inputs', inputs #print 'outputs', outputs @@ -116,12 +113,12 @@ for s in modwalker(path_locals, val): yield s elif isinstance(val, dict): - for s in modwalker(path_locals, val.values()): + for s in modwalker(path_locals, list(val.values())): yield s elif issymbolicmodule(val): for s in modwalker(val.__dictRefactoringTool: Refactored ./theano/sandbox/solve.py __, [v for k,v in sym_items(val)]): yield s - elif isinstance(val, (basestring, int, float)): + elif isinstance(val, (str, int, float)): pass elif isinstance(val, theano.Variable): pass @@ -140,7 +137,7 @@ if isinstance(val, theano.Variable) and (val.owner is None) and (val not in inputs): inputs[val] = theano.In(val, value=theano.gof.Container(val, ['a'])) - assert len(inputs) == len([v for v in inputs.items()]) + assert len(inputs) == len([v for v in list(inputs.items())]) #Locate all the functions to compile, and compile them compiled_functions = {} @@ -172,7 +169,7 @@ reflected[thing] = cmod for key, val in sym_items(thing): setattr(CMod, key, reflect(val)) - elif isinstance(thing, (basestring, int, float)): + elif isinstance(thing, (str, int, float)): reflected[thing] = thing elif isinstance(thing, theano.Variable): if thing.owner is None: @@ -181,7 +178,7 @@ def setter(s, v): inputs[thing].value.storage[0] = v p = property(getter, setter) - print p + print(p) reflected[thing] = p else: reflected[thing] = None #TODO: how to reflect derived resuls? @@ -254,7 +251,7 @@ y = T.dmatrix() layers = [] _x = x - for i in xrange(n_hid_layers): + for i in range(n_hid_layers): layers.append(Layer(x=_x)) _x = layers[-1].y classif = LR(x=_x) @@ -264,7 +261,7 @@ rval = classif.params() for l in layers: rval.extend(l.params()) - print [id(r) for r in rval] + print([id(r) for r in rval]) return rval if 0: @@ -277,12 +274,12 @@ return locals() nnet = compile(NNet) -print nnet -print nnet.params() -print nnet.params.__dict__['finder'][NNet.layers[0].w] +print(nnet) +print(nnet.params()) +print(nnet.params.__dict__['finder'][NNet.layers[0].w]) nnet.params[NNet.layers[0].w] = [[6]] -print nnet.params() -print nnet.params() +print(nnet.params()) +print(nnet.params()) if 0: def deco(f): @@ -290,13 +287,13 @@ def __call__(self, *args, **kwargs): #return another SymbolicModule built like self def dummy(*dargs, **dkwargs): - print 'args', args, dargs - print 'kwargs', kwargs, dkwargs + print('args', args, dargs) + print('kwargs', kwargs, dkwargs) return f(*args, **kwargs) return deco(dummy) locals_dict = f() - for key, val in locals_dict.items(): + for key, val in list(locals_dict.items()): if isinstance(val, theano.Variable): try: kres = klass.KlassMember(val) @@ -336,7 +333,7 @@ ): hid = T.tanh(T.dot(x, w) + b) if top_part: - print 'top_part', top_part, 'kwargs', kwargs + print('top_part', top_part, 'kwargs', kwargs) top = top_part(x=hid, **kwargs) # SymbolicModule def params(): return top.params() + [w, b] else: @@ -344,12 +341,12 @@ return just_symbolic(locals()) if 0: - print 'logistic_regression', logistic_regression - print 'tanh_layer', tanh_layer - print 'nnet1', nnet1 + print('logistic_regression', logistic_regression) + print('tanh_layer', tanh_layer) + print('nnet1', nnet1) nnet1 = tanh_layer(logistic_regression) nnet2 = tanh_layer(nnet1) - print 'nnet2', nnet2 + print('nnet2', nnet2) if 0: class SymbolicModule(object): --- ./theano/sandbox/solve.py (original) +++ ./theano/sandbox/solve.py (refactored) @@ -38,7 +38,7 @@ output, = out ret=scipy.linalg.solRefactoringTool: No changes to ./theano/sandbox/softsign.py RefactoringTool: Refactored ./theano/sandbox/scan_module/tests/test_utils.py RefactoringTool: Refactored ./theano/sandbox/scan_module/tests/test_scan.py ve(A,b) if ret.dtype != node.outputs[0].dtype: - print >> sys.stderr, "WARNING: Solve.perform() required cast." + print("WARNING: Solve.perform() required cast.", file=sys.stderr) ret = theano._asarray(ret, dtype=node.outputs[0].dtype) output[0]=ret @@ -55,7 +55,7 @@ def test0(self): A=self.rng.randn(5,5) - b=numpy.array(range(5),dtype=float) + b=numpy.array(list(range(5)),dtype=float) x=scipy.linalg.solve(A,b) Ax = numpy.dot(A,x) are = tensor.numeric_grad.abs_rel_err(Ax, b) --- ./theano/sandbox/scan_module/tests/test_utils.py (original) +++ ./theano/sandbox/scan_module/tests/test_utils.py (refactored) @@ -1,4 +1,4 @@ -import cPickle +import pickle import numpy import unittest @@ -62,7 +62,7 @@ f_x = f(*pt) gx = [] # now iterate over the elements of x and call f on those + delta x - for i in xrange(len(pt)): + for i in range(len(pt)): if ndarray_mask[i]: # It is a ndarray that we can tweak if eps: @@ -72,7 +72,7 @@ if pt[i].ndim: _g = [] # it has several dimensions: - for pos in xrange(prod(pt[i].shape)): + for pos in range(prod(pt[i].shape)): t = pt[i].copy() t = t.flatten() t[pos] += _eps @@ -96,7 +96,7 @@ """Return the biggest relative error between g_pt and self.gx""" g_pt = [] - for i in xrange(len(_g_pt)): + for i in range(len(_g_pt)): if self.ndarray_mask[i]: g_pt.append(_g_pt[i]) elif isinstance(_g_pt[i], numpy.ndarray): --- ./theano/sandbox/scan_module/tests/test_scan.py (original) +++ ./theano/sandbox/scan_module/tests/test_scan.py (refactored) @@ -5,7 +5,7 @@ import sys import unittest -import cPickle +import pickle import numpy from numpy.testing import dec @@ -17,7 +17,7 @@ from theano.tests import unittest_tools as utt from numpy.testing.noseclasses import KnownFailureTest -from test_utils import * +from .test_utils import * import theano.sandbox.scan_module as scan_module from theano.sandbox.scan_module.scan_op import ScanOp @@ -60,7 +60,7 @@ rng = numpy.random.RandomState(utt.fetch_seed()) n_ins = len(inputs_info) - inputs = [tensor.matrix('u%d' % k) for k in xrange(n_ins)] + inputs = [tensor.matrix('u%d' % k) for k in range(n_ins)] scan_inputs = [] for inp, info in zip(inputs, inputs_info): scan_inputs.append(dict(input=inp, taps=[x['tap'] for x in @@ -79,11 +79,11 @@ scan_states.append( dict(initial=state, taps=[x['tap'] for x in info])) n_parameters = len(parameters_info) - parameters = [tensor.vector('p%d' % k) for k in xrange(n_parameters)] + parameters = [tensor.vector('p%d' % k) for k in range(n_parameters)] original_shared_values = [] shared_vars = [] - for k in xrange(n_shared_updates): + for k in range(n_shared_updates): data = rng.uniform(size=(4,)).astype(theano.config.floatX) original_shared_values.append(data) shared_vars.append(theano.shared(data, name='z%d' % k)) @@ -131,13 +131,13 @@ else: rval.append(arg + to_add) states_out = rval - pure_outs = [to_add ** 2 for x in xrange(n_outputs)] + pure_outs = [to_add ** 2 for x in range(n_outputs)] else: shared_outs = [sh * 5 for sh in shared_vars] states_out = [x for x in states_out] - pure_outs = [2 for x in xrange(n_outputs)] - return states_out + pure_outs, dict(zip(shared_vars, - shared_outs)) + pure_outs = [2 for x in range(n_outputs)] + return states_out + pure_outs, dict(list(zip(shared_vars, + shared_outs))) def execute_inner_graph(*args): """ @@ -186,10 +186,10 @@ parameters_vals = args[2 + n_ins + n_states:] out_mem_buffers = [numpy.zeros((nsteps, 4)) for k in - xrange(n_outputs)] + range(n_outputs)] shared_values = [x.copy() for x in original_shared_values] - for step in xrange(nsteps): + for step in range(nsteps): arg_pos = 0 to_add = None for in_info in inputs_info: @@ -250,10 +250,10 @@ all_nodes = my_f.maker.fgraph.toposort() assert len([x for x in all_nodes if isinstance(x.op, ScanOp)]) == 0 - print >>sys.stderr, ' n_steps', n_steps - print >>sys.stderr, ' go_backwards', go_backwards - - print >>sys.stderr, ' Scenario 1. Correct shape' + print(' n_steps', n_steps, file=sys.stderr) + print(' go_backwards', go_backwards, file=sys.stderr) + + print(' Scenario 1. Correct shape', file=sys.stderr) if n_steps is not None: _n_steps = n_steps else: @@ -281,9 +281,9 @@ data = numpy.arange(4) state_values.append(data) param_values = [rng.uniform(size=(4,)) for k in - xrange(n_parameters)] + range(n_parameters)] param_values = [numpy.arange(4) for k in - xrange(n_parameters)] + range(n_parameters)] for var, val in zip(shared_vars, original_shared_values): var.set_value(val) theano_outs = my_f(*(input_values + state_values + @@ -309,7 +309,7 @@ #import ipdb; ipdb.set_trace() raise # Scenario 2 : Loose fit (sequences longer then required) - print >>sys.stderr, ' Scenario 2. Loose shapes' + print(' Scenario 2. Loose shapes', file=sys.stderr) input_values = [] for pos, info in enumerate(inputs_info): taps = [x['tap'] for x in info] @@ -336,7 +336,7 @@ data = rng.uniform(size=(4,)) state_values.append(data) param_values = [rng.uniform(size=(4,)) for k in - xrange(n_parameters)] + range(n_parameters)] for var, val in zip(shared_vars, original_shared_values): var.set_value(val) theano_outs = my_f(*(input_values + state_values + @@ -355,7 +355,7 @@ for th_out, num_out in zip(shared_vars, numpy_shared): assert numpy.allclose(th_out.get_value(), num_out) # Scenario 3 : Less data then required - print >>sys.stderr, ' Scenario 2. Wrong shapes' + print(' Scenario 2. Wrong shapes', file=sys.stderr) input_values = [] for pos, info in enumerate(inputs_info): taps = [x['tap'] for x in info] @@ -373,7 +373,7 @@ data = rng.uniform(size=(offset - 1, 4)) state_values.append(data) param_values = [rng.uniform(size=(4,)) for k in - xrange(n_parameters)] + range(n_parameters)] for var, val in zip(shared_vars, original_shared_values): var.set_value(val) self.assertRaises(Exception, my_f, @@ -405,9 +405,9 @@ test_nb = 0 for n_ins in [1, 2]: # Randomly pick up 4*n_inRefactoringTool: Refactored ./theano/sandbox/scan_module/scan_utils.py s combinations of arguments - for k in xrange(4 * n_ins): + for k in range(4 * n_ins): inp = [] - for inp_nb in xrange(n_ins): + for inp_nb in range(n_ins): pos = rng.randint(len(possible_taps_use_pairs)) inp.append(possible_taps_use_pairs[pos]) @@ -429,9 +429,9 @@ dict(tap=-2, use=True)]] for n_ins in [1, 2]: # Randomly pick up 4*n_ins combinations of arguments - for k in xrange(4 * n_ins): + for k in range(4 * n_ins): state = [] - for state_nb in xrange(n_ins): + for state_nb in range(n_ins): pos = rng.randint(len(possible_taps_use_pairs)) state.append(possible_taps_use_pairs[pos]) all_states_info.append(state) @@ -447,18 +447,18 @@ return for n_outputs in [0, 1, 2]: for n_shared_updates in [0, 1, 2]: - for n_random_combinations in xrange(1): + for n_random_combinations in range(1): pos_inp = rng.randint(len(all_inputs_info)) pos_st = rng.randint(len(all_states_info)) pos_param = rng.randint(len(all_parameters_info)) - print >>sys.stderr - print >>sys.stderr, 'Test nb', test_nb - print >>sys.stderr, ' inputs', all_inputs_info[pos_inp] - print >>sys.stderr, ' states', all_states_info[pos_st] - print >>sys.stderr, ' parameters', \ - all_parameters_info[pos_param] - print >>sys.stderr, ' n_outputs', n_outputs - print >>sys.stderr, ' n_shared_updates', n_shared_updates + print(file=sys.stderr) + print('Test nb', test_nb, file=sys.stderr) + print(' inputs', all_inputs_info[pos_inp], file=sys.stderr) + print(' states', all_states_info[pos_st], file=sys.stderr) + print(' parameters', \ + all_parameters_info[pos_param], file=sys.stderr) + print(' n_outputs', n_outputs, file=sys.stderr) + print(' n_shared_updates', n_shared_updates, file=sys.stderr) test_nb += 1 self.new_run(inputs_info=all_inputs_info[pos_inp], states_info=all_states_info[pos_st], @@ -497,7 +497,7 @@ rng = numpy.random.RandomState(utt.fetch_seed()) state = rng.uniform() numpy_values = numpy.array([state * (2 ** (k + 1)) for k - in xrange(abs(n_steps))]) + in range(abs(n_steps))]) theano_values = my_f(state) assert numpy.allclose(numpy_values, theano_values) @@ -553,7 +553,7 @@ v_out = numpy.zeros((8,)) v_out[0] = _v_u[0] * W_in + v_x0 * W - for step in xrange(1, steps): + for step in range(1, steps): v_out[step] = _v_u[step] * W_in + v_out[step - 1] * W v_out = v_out[:steps] theano_values = my_f(v_u, v_x0, W_in, W) --- ./theano/sandbox/scan_module/scan_utils.py (original) +++ ./theano/sandbox/scan_module/scan_utils.py (refactored) @@ -15,7 +15,7 @@ import copy import logging -from itertools import izip + import numpy @@ -45,7 +45,7 @@ # Corner case that I might use in an optimization if size == 0: return tensor_var - shapes = [tensor_var.shape[x] for x in xrange(tensor_var.ndim)] + shapes = [tensor_var.shape[x] for x in range(tensor_var.ndim)] zeros_shape = [size + shapes[0]] + shapes[1:] empty = tensor.zeros(zeros_shape, dtype=tensor_var.dtype) @@ -307,7 +307,7 @@ # inside. We don't use the full ShapeFeature interface, but we # let it initialize itself with an empRefactoringTool: Refactored ./theano/sandbox/scan_module/scan_op.py ty fgraph, otherwise we will # need to do it manually - for inp, inp_shp in izip(inputs, input_shapes): + for inp, inp_shp in zip(inputs, input_shapes): if inp_shp is not None and len(inp_shp) != inp.ndim: assert len(inp_shp) == inp.ndim @@ -315,7 +315,7 @@ shape_feature.on_attach(theano.gof.FunctionGraph([], [])) # Initialize shape_of with the input shapes - for inp, inp_shp in izip(inputs, input_shapes): + for inp, inp_shp in zip(inputs, input_shapes): shape_feature.set_shape(inp, inp_shp) def local_traverse(out): @@ -367,7 +367,7 @@ inputs = gof.graph.inputs([y]) ins_shapes = [] for inp in inputs: - in_shape = [inp.shape[k] for k in xrange(inp.ndim)] + in_shape = [inp.shape[k] for k in range(inp.ndim)] ins_shapes.append(in_shape) shape = infer_shape([y], inputs, ins_shapes)[0] return tensor.zeros([T, ] + shape, dtype=y.dtype) @@ -412,7 +412,7 @@ pos = index % membuffer.shape[0] if outputs[0] is membuffer: membuffer = membuffer.copy() - print pos + print(pos) out[0][:membuffer.shape[0] - pos] = membuffer[pos:] out[0][membuffer.shape[0] - pos:] = membuffer[:pos] --- ./theano/sandbox/scan_module/scan_op.py (original) +++ ./theano/sandbox/scan_module/scan_op.py (refactored) @@ -13,7 +13,7 @@ __contact__ = "Razvan Pascanu " import logging -from itertools import izip + import numpy @@ -56,7 +56,7 @@ self.hash_inner_graph = options['hash_inner_graph'] # --Construct the destroy map-- if self.inplace: - for idx in xrange(len(outputs)): + for idx in range(len(outputs)): self.destroy_map[idx] = [idx + 1] # --Decide on the default mode-- mode_instance = compile.mode.get_mode(self.mode) @@ -100,18 +100,18 @@ for arg in diff_args: if len(getattr(self, arg)) != len(getattr(other, arg)): return False - for x, y in izip(self.inputs, other.inputs): + for x, y in zip(self.inputs, other.inputs): if x.type != y.type: return False - for x, y in izip(self.lengths, other.lengths): + for x, y in zip(self.lengths, other.lengths): if x.type != y.type: return False s_ins = [self.index] + self.inputs + self.lengths + self.switches o_ins = [other.index] + other.inputs + other.lengths + other.switches - givens = dict(izip(s_ins, o_ins)) + givens = dict(zip(s_ins, o_ins)) # This part might be slow - for x, y in izip(self.outputs, other.outputs): + for x, y in zip(self.outputs, other.outputs): if not gof.graph.is_same_graph(x, y, givens=givens): return False return True @@ -134,7 +134,7 @@ def __hash__(self): rval = hash(type(self)) ^ self.hash_inner_graph - for val in self.options.values(): + for val in list(self.options.values()): if isinstance(val, (list, tuple)): for el in val: rval = rval ^ el @@ -143,12 +143,12 @@ return rval def infer_shape(self, node, input_shapes): - for inp, inp_shp in izip(node.inputs, input_shapes): + for inp, inp_shp in zip(node.inputs, input_shapes): assert inp_shp is None or len(inp_shp) == inp.type.ndim n_outs = len(self.outputs) if self.as_repeatUntil is not None: return [(Shape_i(0)(o),) + x[1:] for o, x - in izip(node.outputs, input_shapes[1: n_outs + 1])] + in zip(node.outputs, input_shapes[1: n_outs + 1])] else: return input_shapes[1: n_outs + 1] @@ -191,7 +191,7 @@ def fake_shared(var): val = 0 - for dim in xrange(var.ndim): + for dim in range(var.ndim): val = [val] val = numpy.asarray(val, dtype=var.dtype) return theano.shared(val, name=var.name) @@ -199,7 +199,7 @@ non_tensor_args = [] non_tensor_buffers = [] aux_buffers = [] - for mem_buf, var in izip(aux_membuffers, aux_inputs): + for mem_buf, var in zip(aux_membuffers, aux_inputs): if mem_buf[0] is not None: givens[var] = theano.shared(mem_buf[0], name=var.name, borrow=True) @@ -215,7 +215,7 @@ updates = {} state_buffers = [] n_numeric_values = len(self.lengths) - for pos in xrange(n_numeric_values): + for pos in range(n_numeric_values): var = base_inputs[pos] mem_buf = base_buffers[pos] expr = self.outputs[pos] @@ -274,19 +274,19 @@ while cont and pos < node_input_storage[0][0]: extra_args = [x[0] for x in non_numeric_states_bufs] rvals = self.fn(*(fix_args + extra_args)) - for buf, rval in izip(non_numeric_states_bufs, rvals): + for buf, rval in zip(non_numeric_states_bufs, rvals): buf[0] = rval cont = rvals[-1] pos = pos + 1 # We need to trim the outputs if they are longer - for pos in xrange(n_numeric_values): + for pos in range(n_numeric_values): buf = state_buffers[pos][2][0] mintap = self.mintaps[pos] if buf.shape[0] > pos + self.mintaps[pos]: node_output_storage[pos][0] = buf[:pos + mintap] else: node_output_storage[pos][0] = buf - for out_buf, in_buf in izip( + for out_buf, in_buf in zip( node_output_storage[n_numeric_values:], non_numeric_states_bufs): out_buf[0] = in_buf[0] @@ -315,16 +315,16 @@ self.index.set_value(numpy.int64(0)) # grab fixed arguments fix_args = [x[0] for x in non_tensor_buffers] - for dx in xrange(node_input_storage[0][0]): + for dx in range(node_input_storage[0][0]): extra_args = [x[0] for x in non_numeric_states_bufs] rvals = self.fn(*(fix_args + extra_args)) - for buf, rval in izip(non_numeric_states_bufs, rvals): + for buf, rval in zip(non_numeric_states_bufs, rvals): buf[0] = rval - for pos in xrange(n_numeric_values): + for pos in range(n_numeric_values): buf = state_buffers[pos][0].get_value(borrow=True) mintap = self.mintaps[pos] node_output_storage[pos][0] = buf - for out_buf, in_buf in izip( + for out_buf, in_buf in zip( node_output_storage[n_numeric_values:], non_numeric_states_bufs): out_buf[0] = in_buf[0] @@ -354,16 +354,16 @@ other_time): # Scan overhead profile if any([isinstance(node.op, Scan) and v > 0 for (_, node), v in - apply_time.items()]): - print - print 'Scan overhead:' + list(apply_time.items())]): + print() + print('Scan overhead:') print (' ') total_super_scan_time = 0 total_scan_fct_time = 0 total_scan_op_time = 0 - for (_, node), v in apply_time.items(): + for (_, node), v in list(apply_time.items()): if isinstance(node.op, Scan): if v > 0: scan_fct_time = node.op.mode_instance.fn_time @@ -371,13 +RefactoringTool: Refactored ./theano/sandbox/scan_module/scan.py RefactoringTool: Refactored ./theano/sandbox/scan_module/__init__.py RefactoringTool: Refactored ./theano/sandbox/scan.py 371,13 @@ total_super_scan_time += v total_scan_fct_time += scan_fct_time total_scan_op_time += scan_op_time - print ' %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( + print(' %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( v, scan_fct_time, scan_op_time, - scan_fct_time / v * 100, scan_op_time / v * 100), node + scan_fct_time / v * 100, scan_op_time / v * 100), node) else: - print (' The node took 0s, so we can not compute the ' - 'overhead'), node - print ' total %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( + print((' The node took 0s, so we can not compute the ' + 'overhead'), node) + print(' total %5.1fs %5.1fs %5.1fs %5.1f%% %5.1f%%' % ( total_super_scan_time, total_scan_fct_time, total_scan_op_time, total_scan_fct_time / total_super_scan_time * 100, - total_scan_op_time / total_super_scan_time * 100) + total_scan_op_time / total_super_scan_time * 100)) --- ./theano/sandbox/scan_module/scan.py (original) +++ ./theano/sandbox/scan_module/scan.py (refactored) @@ -42,7 +42,7 @@ __contact__ = "Razvan Pascanu " -from itertools import izip + import logging import numpy @@ -53,8 +53,8 @@ from theano.scalar.sharedvar import shared as scalar_shared from theano.compile.pfunc import rebuild_collect_shared -import scan_op -import scan_utils +from . import scan_op +from . import scan_utils # Logging function for sending warning or info _logger = logging.getLogger('theano.scan_module.scan') @@ -519,17 +519,17 @@ scan_outputs_update_rules = scan_utils.to_list(local_op(*scan_inputs)) # 5.5 Collect outputs and add permutation object scan_outputs = [] - for pos in xrange(len(states_and_outputs)): + for pos in range(len(states_and_outputs)): out = scan_utils.ScanPermutation(mintaps[pos])( scan_outputs_update_rules[pos], t) scan_outputs.append(out[mintaps[pos]:]) # 5.6 Construct updates dictionary update_rules = scan_outputs_update_rules[len(states_and_outputs):] updates = {} - for v, u in izip(original_numeric_shared_variables, + for v, u in zip(original_numeric_shared_variables, update_rules[:len(additional_input_states)]): updates[v] = u[-1] - for v, u in izip(original_non_numeric_shared_variables, + for v, u in zip(original_non_numeric_shared_variables, update_rules[len(additional_input_states):]): updates[v] = u # Step 5.7 We are done and can return everything back to the user --- ./theano/sandbox/scan_module/__init__.py (original) +++ ./theano/sandbox/scan_module/__init__.py (refactored) @@ -38,4 +38,4 @@ __copyright__ = "(c) 2010, Universite de Montreal" __contact__ = "Razvan Pascanu " -from scan import scan +from .scan import scan --- ./theano/sandbox/scan.py (original) +++ ./theano/sandbox/scan.py (refactored) @@ -151,7 +151,7 @@ return_steps = OrderedDict() # wrap outputs info in a dictionary if they are not already in one - for i in xrange(n_outs): + for i in range(n_outs): if outs_info[i] is not None: if not isinstance(outs_info[i], dict): # by default any output has a tap value of -1 @@ -208,7 +208,7 @@ try: nw_slice.tag.test_value = gof.Op._get_test_value( _seq_val_slice) - except AttributeError, e: + except AttributeError as e: if config.compute_test_value != 'ignore': # No need to print a warning or raise an error now, # it will be done when fn will be called. @@ -283,7 +283,7 @@ if config.compute_test_value != 'off': try: arg.tag.test_value = gof.Op._get_test_value(actual_arg) - except AttributeError, e: + except AttributeError as e: if config.compute_test_value != 'ignore': # No need to print a warning or raise an error now, # it will be done when fn will be called. @@ -335,7 +335,7 @@ try: nw_slice.tag.test_value = gof.Op._get_test_value( _init_out_var_slice) - except AttributeError, e: + except AttributeError as e: if config.compute_test_value != 'ignore': # No need to print a warning or raise an error now, # it will be done when fn will be called. @@ -362,9 +362,9 @@ max_mit_sot = numpy.max([-1] + mit_sot_rightOrder) + 1 max_sit_sot = numpy.max([-1] + sit_sot_rightOrder) + 1 n_elems = numpy.max([max_mit_sot, max_sit_sot]) - _ordered_args = [[] for x in xrange(n_elems)] + _ordered_args = [[] for x in range(n_elems)] offset = 0 - for idx in xrange(n_mit_sot): + for idx in range(n_mit_sot): n_inputs = len(mit_sot_tap_array[idx]) if n_fixed_steps == 1: _ordered_args[mit_sot_rightOrder[idx]] = \ @@ -374,7 +374,7 @@ mit_sot_inner_inputs[offset:offset + n_inputs] offset += n_inputs - for idx in xrange(n_sit_sot): + for idx in range(n_sit_sot): if n_fixed_steps == 1: _ordered_args[sit_sot_rightOrder[idx]] = \ [sit_sot_inner_slices[idx]] @@ -453,16 +453,15 @@ # extract still missing inputs (there still might be so) and add them # as non sequences at the end of our args fake_nonseqs = [x.type() for x in non_seqs] - fake_outputs = scan_utils.clone(outputs + updates.values(), - replace=dict(zip(non_seqs, - fake_nonseqs))) - all_inputs = itertools.ifilter( + fake_outputs = scan_utils.clone(outputs + list(updates.values()), + replace=dict(list(zip(non_seqs, + fake_nonseqs)))) + all_inputs = filter( lambda x: (isinstance(x, gof.Variable) and not isinstance(x, SharedVariable) and not isinstance(x, gof.Constant)), gof.graph.inputs(fake_outputs)) - extra_inputs = filter(lambda x: x not in args + fake_nonseqs, - all_inputs) + extra_inputs = [x for x in all_inputs if x not in args + fake_nonseqs] non_seqs += extra_inputs ## Note we do not use all_inputs directly since the order of variables ## in args is quite important @@ -508,7 +507,7 @@ n_outs = len(dummy_f.maker.outputs) if as_while: n_outs = n_outs - 1 - outs_info = [dict(steps=n_steps) for x in xrange(n_outs)] + outs_info = [dict(steps=n_steps) for x in range(n_outs)] ## Step 5.1 Outputs with taps different then -1 @@ -565,7 +564,7 @@ if (not isinstance(arg, SharedVariable) and not isinstance(arg, tensor.Constant))] - givens.update(dict(zip(other_scan_args, other_inner_args))) + givens.update(dict(list(zip(other_scan_args, other_inner_args)))) other_shared_scan_args = [arg.variable for arg in dummy_f.maker.expanded_inputs if (isinstance(arg.variable, SharedVariable) and @@ -574,8 +573,8 @@ in dummy_f.maker.expanded_inputs if (isinstance(arg.variable, SharedVariable) and not arg.update)] - givens.update(dict(zip(other_shared_scan_args, - other_shared_inner_args))) + givens.update(dict(list(zip(other_shared_scan_args, + other_shared_inner_argsRefactoringTool: Refactored ./theano/sandbox/rng_mrg.py RefactoringTool: No changes to ./theano/sandbox/neighbours.py RefactoringTool: Refactored ./theano/sandbox/neighbourhoods.py )))) ## ### Step 6. Re-order the outputs and clone them replacing things @@ -597,7 +596,7 @@ if condition is not None: inner_outs.append(condition) new_givens = OrderedDict() - for w, w_copy in givens.iteritems(): + for w, w_copy in givens.items(): new_givens[w] = w.type.filter_variable(w_copy) new_outs = scan_utils.clone(inner_outs, replace=new_givens) @@ -606,7 +605,7 @@ ### Step 7. Create the Scan Op ## - tap_array = mit_sot_tap_array + [[-1] for x in xrange(n_sit_sot)] + tap_array = mit_sot_tap_array + [[-1] for x in range(n_sit_sot)] info = OrderedDict() info['tap_array'] = tap_array @@ -662,7 +661,7 @@ mit_sot_outs = scan_outs[offset:offset + n_mit_sot] offset += n_mit_sot - offsets = [1 for x in xrange(n_sit_sot)] + offsets = [1 for x in range(n_sit_sot)] sit_sot_outs = scan_outs[offset:offset + n_sit_sot] offset += n_sit_sot --- ./theano/sandbox/rng_mrg.py (original) +++ ./theano/sandbox/rng_mrg.py (refactored) @@ -18,7 +18,7 @@ from theano.gof import local_optimizer from theano.gof.python25 import all, any -import multinomial +from . import multinomial from theano.sandbox.cuda import cuda_available, cuda_enabled, GpuOp if cuda_available: @@ -29,8 +29,8 @@ def matVecModM(A, s, m): # return (A * s) % m x = numpy.zeros_like(s) - for i in xrange(len(x)): - for j in xrange(len(s)): + for i in range(len(x)): + for j in range(len(s)): r = numpy.int32((numpy.int64(A[i][j]) * s[j] + x[i]) % m) if r >= 0: x[i] = r @@ -197,7 +197,7 @@ o_rstate, o_sample = out numpy_version = numpy.__version__.split('.') if not self.warned_numpy_version and int(numpy_version[0]) <= 1 and int(numpy_version[1]) <3 : - print "Warning: you must use numpy version 1.3.0 or higher with the python version of this op. Otherwise numpy leak memory. and numpy" + print("Warning: you must use numpy version 1.3.0 or higher with the python version of this op. Otherwise numpy leak memory. and numpy") self.warned_numpy_version = True n_elements = 1 @@ -215,7 +215,7 @@ err_orig = numpy.seterr(over='ignore') try: - for i in xrange(n_elements): + for i in range(n_elements): sample = mrg_next_value(rstate[i % n_streams], rstate[i % n_streams]) rval[i] = sample @@ -702,7 +702,7 @@ assert n_streams > 0 rval = numpy.zeros((n_streams, 6), dtype='int32') rval[0] = self.rstate - for i in xrange(1, n_streams): + for i in range(1, n_streams): rval[i] = ff_2p72(rval[i - 1]) if inc_rstate: self.inc_rstate() --- ./theano/sandbox/neighbourhoods.py (original) +++ ./theano/sandbox/neighbourhoods.py (refactored) @@ -12,7 +12,7 @@ from theano import gof, Op, tensor, Variable, Apply import numpy -import __builtin__ +import builtins class NeighbourhoodsFromImages(Op): def __init__(self, n_dims_before, dims_neighbourhoods, @@ -84,9 +84,9 @@ self.code_string, self.code = self.make_py_code() def _compute_neigh_strides(self): - neigh_strides = [1 for i in xrange(len(self.strides))] + neigh_strides = [1 for i in range(len(self.strides))] cur_stride = 1 - for i in xrange(len(self.strides)-1, -1, -1): + for i in range(len(self.strides)-1, -1, -1): neigh_strides[i] = cur_stride cur_stride *= self.dims_neighbourhoods[i] return neigh_strides @@ -115,7 +115,7 @@ def out_shape(self, input_shape): dims = list(input_shape[:self.n_dims_before]) - num_strides = [0 for i in xrange(len(self.strides))] + num_strides = [0 for i in range(len(self.strides))] neigh_flattened_dim = 1 for i, ds in enumerate(self.dims_neighbourhoods): cur_stride = self.strides[i] @@ -212,14 +212,14 @@ defRefactoringTool: No changes to ./theano/sandbox/multinomial.py RefactoringTool: Refactored ./theano/sandbox/minimal.py RefactoringTool: Refactored ./theano/sandbox/linalg/tests/test_linalg.py RefactoringTool: No changes to ./theano/sandbox/linalg/tests/test_kron.py RefactoringTool: Refactored ./theano/sandbox/linalg/ops.py make_py_code(self): code = self._py_outerloops() - for i in xrange(len(self.strides)): + for i in range(len(self.strides)): code += self._py_innerloop(i) code += self._py_assignment() - return code, __builtin__.compile(code, '', 'exec') + return code, builtins.compile(code, '', 'exec') def _py_outerloops(self): code_before = "" - for dim_idx in xrange(self.n_dims_before): + for dim_idx in range(self.n_dims_before): code_before += ('\t' * (dim_idx)) + \ "for outer_idx_%d in xrange(input_shape[%d]):\n" % \ (dim_idx, dim_idx) @@ -247,13 +247,13 @@ def _py_flattened_idx(self): return "+".join(["neigh_strides[%d]*neigh_idx_%d" % (i,i) \ - for i in xrange(len(self.strides))]) + for i in range(len(self.strides))]) def _py_assignment(self): input_idx = "".join(["outer_idx_%d," % (i,) \ - for i in xrange(self.n_dims_before)]) + for i in range(self.n_dims_before)]) input_idx += "".join(["dim_%d_offset+neigh_idx_%d," % \ - (i,i) for i in xrange(len(self.strides))]) + (i,i) for i in range(len(self.strides))]) out_idx = "".join(\ ["outer_idx_%d," % (i,) for i in \ range(self.n_dims_before)] + \ --- ./theano/sandbox/minimal.py (original) +++ ./theano/sandbox/minimal.py (refactored) @@ -34,9 +34,9 @@ # do what you want here, # but do not modify any of the arguments [inplace]. - print "perform got %i arguments" % len(inputs) + print("perform got %i arguments" % len(inputs)) - print "Max of input[0] is ", numpy.max(inputs[0]) + print("Max of input[0] is ", numpy.max(inputs[0])) # return some computed value. # do not return something that is aliased to one of the inputs. @@ -57,11 +57,11 @@ A=tensor.matrix() b=tensor.vector() - print 'building function' + print('building function') f = function([A, b], minimal(A, A, b, b, A)) - print 'built' + print('built') Aval=self.rng.randn(5,5) - bval=numpy.array(range(5),dtype=float) + bval=numpy.array(list(range(5)),dtype=float) f(Aval,bval) - print 'done' + print('done') --- ./theano/sandbox/linalg/tests/test_linalg.py (original) +++ ./theano/sandbox/linalg/tests/test_linalg.py (refactored) @@ -158,7 +158,7 @@ n = rng.randint(4) + 2 rs = [] xs = [] - for k in xrange(n): + for k in range(n): rs += [rng.randn(4, 4).astype(theano.config.floatX)] xs += [tensor.matrix()] sol = matrix_dot(*xs) @@ -531,7 +531,7 @@ def test_eval(self): A = theano.tensor.matrix(dtype=self.dtype) - self.assertEquals([e.eval({A: [[1]]}) for e in self.op(A)], + self.assertEqual([e.eval({A: [[1]]}) for e in self.op(A)], [[1.0], [[1.0]]]) x = [[0, 1], [1, 0]] w, v = [e.eval({A: x}) for e in self.op(A)] --- ./theano/sandbox/linalg/ops.py (original) +++ ./theano/sandbox/linalg/ops.py (refactored) @@ -153,7 +153,7 @@ def update_second_from_first(self, r0, r1): old_hints = self.hints[r0] new_hints = self.hints[r1] - for k, v in old_hints.items(): + for k, v in list(old_hints.items()): if k in new_hints and new_hints[k] is not v: raise NotImplementedError() if k not in new_hints: @@ -454,24 +454,24 @@ N = x.shape[0] if self.lower: F = numpy.tril(dz) - for k in xrange(N - 1, -1, -1): - for j in xrange(k + 1, N): - for i in xrange(j, N): + for k in range(N - 1, -1, -1): + for j in range(k + 1, N): + for i in range(j, N): F[i, k] -= F[i, j] * L[j, k] F[j, k] -= F[i, j] * L[i, k] - for j in xrange(k + 1, N): + for j in range(k + 1, N): F[j, k] /= L[k, k] F[k, k] -= L[j, k] * F[j, k] F[k, k] /= (2 * L[k, k]) else: F = numpy.triu(dz) M = N - 1 - for k in xrange(N - 1, -1, -1): - for j in xrange(k + 1, N): - for i in xrange(j, N): + for k in range(N - 1, -1, -1): + for j in range(k + 1, N): + for i in range(j, N): F[k, i] -= F[j, i] * L[k, j] F[k, j] -= F[j, i] * L[k, i] - for j in xrange(k + 1, N): + for j in range(k + 1, N): F[k, j] /= L[k, k] F[k, k] -= L[k, j] * F[k, j] F[k, k] /= (2 * L[k, k]) @@ -518,7 +518,9 @@ assert x.ndim == 2 return Apply(self, [x], [x.type()]) - def perform(self, node, (x,), (z, )): + def perform(self, node, xxx_todo_changeme, xxx_todo_changeme1): + (x,) = xxx_todo_changeme + (z, ) = xxx_todo_changeme1 try: if imported_scipy: z[0] = scipy.linalg.pinv(x).astype(x.dtype) @@ -567,7 +569,9 @@ assert x.ndim == 2 return Apply(self, [x], [x.type()]) - def perform(self, node, (x,), (z, )): + def perform(self, node, xxx_todo_changeme2, xxx_todo_changeme3): + (x,) = xxx_todo_changeme2 + (z, ) = xxx_todo_changeme3 try: z[0] = numpy.linalg.inv(x).astype(x.dtype) except numpy.linalg.LinAlgError: @@ -769,7 +773,9 @@ def grad(self, inputs, g_outputs): return [extract_diag(g_outputs[0])] - def perform(self, node, (x,), (z,)): + def perform(self, node, xxx_todo_changeme4, xxx_todo_changeme5): + (x,) = xxx_todo_changeme4 + (z,) = xxx_todo_changeme5 if x.ndim != 1: raise TypeError(x) z[0] = numpy.diag(x) @@ -808,11 +814,13 @@ o = theano.tensor.scalar(dtype=x.dtype) return Apply(self, [x], [o]) - def perform(self, node, (x,), (z, )): + def perform(self, node, xxx_todo_changeme6, xxx_todo_changeme7): + (x,) = xxx_todo_changeme6 + (z, ) = xxx_todo_changeme7 try: z[0] = numpy.asarray(numpy.linalg.det(x), dtype=x.dtype) except Exception: - print 'Failed to compute determinant', x + print('Failed to compute determinant', x) raise def grad(self, inputs, g_outputs): @@ -858,7 +866,7 @@ raise ValueError('spectral_radius_bound requires a strictly positive ' 'exponent', log2_exponent) XX = X - for i in xrange(log2_exponent): + for i in range(log2_exponent): XX = tensor.dot(XX, XX) return tensor.pow( trace(XX), @@ -927,7 +935,9 @@ v = theano.tensor.matrix(dtype=x.dtype) return Apply(self, [x], [w, v]) - def perform(self, node, (x,), (w, v)): + def perform(self, node, xxx_todo_changeme8, xxx_todo_changeme9): + (x,) = xxx_todo_changeme8 + (w, v) = xxx_todo_changeme9 try: w[0], v[0] = [z.astype(x.dtype) for z in self._numop(x)] except numpy.linalg.LinAlgError: @@ -985,7 +995,9 @@ v = theano.tensor.matrix(dtype=x.dtype) return Apply(self, [x], [w, v]) - def perform(self, node, (x,), (w, v)): + def perform(self, node, xxx_todo_changeme10, xxx_todo_changeme11): + (x,) = xxx_todo_changeme10 + (w, v) = xxx_todo_changeme11 try: w[0], v[0] = self._numop(x, self.UPLO) except numpy.linalg.LinAlgError: @@ -1054,7 +1066,7 @@ return 'EighGrad{%s}' % self.UPLO def make_node(self, x, w, v, gw, gv): - x, w, v, gw, gv = map(as_tensor_variable, (x, w, v, gw, gv)) + x, w, v, gw, gv = list(map(as_tensor_variable, (x, w, v, gw, gv))) assert x.ndim == 2 assert w.ndimRefactoringTool: Refactored ./theano/sandbox/linalg/kron.py RefactoringTool: Refactored ./theano/sandbox/linalg/__init__.py RefactoringTool: Refactored ./theano/sandbox/gpuarray/type.py RefactoringTool: No changes to ./theano/sandbox/gpuarray/tests/test_type.py RefactoringTool: No changes to ./theano/sandbox/gpuarray/tests/test_subtensor.py RefactoringTool: No changes to ./theano/sandbox/gpuarray/tests/test_opt.py RefactoringTool: No changes to ./theano/sandbox/gpuarray/tests/test_elemwise.py RefactoringTool: No changes to ./theano/sandbox/gpuarray/tests/test_blas.py RefactoringTool: Refactored ./theano/sandbox/gpuarray/tests/test_basic_ops.py == 1 assert v.ndim == 2 @@ -1075,9 +1087,9 @@ outer = numpy.outer G = lambda n: sum(v[:, m] * V.T[n].dot(v[:, m]) / (w[n] - w[m]) - for m in xrange(N) if m != n) + for m in range(N) if m != n) g = sum(outer(v[:, n], v[:, n] * W[n] + G(n)) - for n in xrange(N)) + for n in range(N)) # Numpy's eigh(a, 'L') (eigh(a, 'U')) is a function of tril(a) # (triu(a)) only. This means that partial derivative of --- ./theano/sandbox/linalg/kron.py (original) +++ ./theano/sandbox/linalg/kron.py (refactored) @@ -23,7 +23,7 @@ o = tensor.outer(a, b) o = o.reshape(tensor.concatenate((a.shape, b.shape)), a.ndim + b.ndim) - shf = o.dimshuffle(0, 2, 1, * range(3, o.ndim)) + shf = o.dimshuffle(0, 2, 1, * list(range(3, o.ndim))) if shf.ndim == 3: shf = o.dimshuffle(1, 0, 2) o = shf.flatten() --- ./theano/sandbox/linalg/__init__.py (original) +++ ./theano/sandbox/linalg/__init__.py (refactored) @@ -1,6 +1,6 @@ -from kron import kron -from ops import (cholesky, matrix_inverse, solve, +from .kron import kron +from .ops import (cholesky, matrix_inverse, solve, diag, extract_diag, alloc_diag, det, psd, eig, eigh, trace, spectral_radius_bound) --- ./theano/sandbox/gpuarray/type.py (original) +++ ./theano/sandbox/gpuarray/type.py (refactored) @@ -206,7 +206,7 @@ class _operators(_tensor_py_operators): def _as_TensorVariable(self): - from basic_ops import host_from_gpu + from .basic_ops import host_from_gpu return host_from_gpu(self) def _as_GpuArrayVariable(self): --- ./theano/sandbox/gpuarray/tests/test_basic_ops.py (original) +++ ./theano/sandbox/gpuarray/tests/test_basic_ops.py (refactored) @@ -1,5 +1,5 @@ import unittest -from itertools import izip + from copy import copy, deepcopy import numpy @@ -59,7 +59,7 @@ def wrapper(): try: f() - except Exception, e: + except Exception as e: if isinstance(e, EClass): raise KnownFailureTest(msg, e) raise @@ -92,7 +92,7 @@ dtype = kwargs.pop('dtype', theano.config.floatX) cls = kwargs.pop('cls', None) if len(kwargs) != 0: - raise TypeError('Unexpected argument %s', kwargs.keys()[0]) + raise TypeError('Unexpected argument %s', list(kwargs.keys())[0]) return gpuarray.array(r, dtype=dtype, cls=cls) @@ -121,7 +121,7 @@ if skip: raise SkipTest(skip) - for testname, inputs in cases.items(): + for testname, inputs in list(cases.items()): self.run_case(testname, inputs) def run_case(self, testname, inputs): @@ -131,7 +131,7 @@ try: node_ref = safe_make_node(self.op, *inputs_ref) node_tst = safe_make_node(self.op, *inputs_tst) - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occured while making " "a node with inputs %s") % (self.gpu_op, testname, inputs) @@ -141,7 +141,7 @@ try: f_ref = inplace_func([], node_ref.outputs, mode=mode_nogpu) f_tst = inplace_func([], node_tst.outputs, mode=mode_gpu) - except Exception, exc: + except Exception as exc: err_msg = ("Test %s::%s: Error occured while trying to " "make a Function") % (self.gpu_op, testname) exc.args += (err_msg,) @@ -152,12 +152,12 @@ ref_e = None try: expecteds = f_ref() - except Exception, exc: + except Exception as exc: ref_e = exc try: variables = f_tst() - except Exception, exc: + except Exception RefactoringTool: Refactored ./theano/sandbox/gpuarray/subtensor.py RefactoringTool: Refactored ./theano/sandbox/gpuarray/opt.py RefactoringTool: Refactored ./theano/sandbox/gpuarray/elemwise.py as exc: if ref_e is None: err_msg = ("Test %s::%s: exception when calling the " "Function") % (self.gpu_op, testname) @@ -177,7 +177,7 @@ raise for i, (variable, expected) in \ - enumerate(izip(variables, expecteds)): + enumerate(zip(variables, expecteds)): if variable.dtype != expected.dtype or \ variable.shape != expected.shape or \ not TensorType.values_eq_approx(variable, @@ -188,7 +188,7 @@ self.op, testname, i, inputs, expected, expected.dtype, variable, variable.dtype)) - for description, check in self.checks.items(): + for description, check in list(self.checks.items()): if not check(inputs, variables): self.fail(("Test %s::%s: Failed check: %s " "(inputs were %s, ouputs were %s)") % --- ./theano/sandbox/gpuarray/subtensor.py (original) +++ ./theano/sandbox/gpuarray/subtensor.py (refactored) @@ -1,4 +1,4 @@ -import StringIO +import io import numpy @@ -88,8 +88,8 @@ if (!%(out)s) { %(fail)s } """ % dict(out=outputs[0], inp=inp, fail=sub['fail']) - sio = StringIO.StringIO() - print >> sio, """ + sio = io.StringIO() + print(""" ssize_t starts[%(sz)s]; ssize_t stops[%(sz)s]; ssize_t steps[%(sz)s]; @@ -100,7 +100,7 @@ PyErr_SetString(PyExc_IndexError, "invalid index"); %(fail)s } - """ % dict(sz=len(idx_list), inp=inp, fail=sub['fail']) + """ % dict(sz=len(idx_list), inp=inp, fail=sub['fail']), file=sio) def fix_idx(idx): if idx is None: @@ -117,7 +117,7 @@ start, start_n = fix_idx(idx.start) stop, stop_n = fix_idx(idx.stop) step, step_n = fix_idx(idx.step) - print >>sio, """ + print(""" starts[%(i)s] = %(start)s; stops[%(i)s] = %(stop)s; steps[%(i)s] = %(step)s; @@ -128,7 +128,7 @@ } """ % dict(i=i, start=start, stop=stop, step=step, start_n=start_n, stop_n=stop_n, step_n=step_n, - fail=sub['fail'], inp=inp) + fail=sub['fail'], inp=inp), file=sio) else: if isinstance(idx, gof.Type): start = indices.pop(0) @@ -136,19 +136,19 @@ start = idx else: assert 0, idx - print >>sio, """ + print(""" cur = %(start)s; if (cur < 0) cur += %(inp)s->ga.dimensions[%(i)s]; starts[%(i)s] = cur; steps[%(i)s] = 0; - """ % dict(i=i, start=start, fail=sub['fail'], inp=inp) + """ % dict(i=i, start=start, fail=sub['fail'], inp=inp), file=sio) - print >>sio, """ + print(""" Py_XDECREF(%(out)s); %(out)s = pygpu_index(%(inp)s, starts, stops, steps); if (!%(out)s) { %(fail)s } -""" % dict(name=name, fail=sub['fail'], inp=inp, out=outputs[0]) +""" % dict(name=name, fail=sub['fail'], inp=inp, out=outputs[0]), file=sio) return sio.getvalue() --- ./theano/sandbox/gpuarray/opt.py (original) +++ ./theano/sandbox/gpuarray/opt.py (refactored) @@ -99,7 +99,7 @@ new_input = host_from_gpu(gpu_from_host(input)) fgraph.replace_validate(input, new_input, "InputToGpuOptimizer") - except TypeError, e: + except TypeError as e: # This could fail if the inputs are not TensorTypes pass --- ./theano/sandbox/gpuarray/elemwise.py (original) +++ ./theano/sandbox/gpuarray/elemwise.py (reRefactoringTool: Refactored ./theano/sandbox/gpuarray/blas.py RefactoringTool: Refactored ./theano/sandbox/gpuarray/basic_ops.py RefactoringTool: Refactored ./theano/sandbox/gpuarray/__init__.py RefactoringTool: Refactored ./theano/sandbox/fourier.py RefactoringTool: Refactored ./theano/sandbox/downsample.py RefactoringTool: Refactored ./theano/sandbox/debug.py factored) @@ -1,5 +1,5 @@ import copy -from itertools import izip + import numpy from theano import Op, Apply, scalar, config @@ -151,7 +151,7 @@ node._cache_elemwise_k = self.generate_kernel(node, "kcode") out_shape = [] - for values in izip(*[input.shape for input in inputs]): + for values in zip(*[input.shape for input in inputs]): if any(v == 0 for v in values): # All non-broadcasted dimensions should be zero assert max(values) <= 1 @@ -161,7 +161,7 @@ out_shape = tuple(out_shape) args = copy.copy(inputs) - for n, (stor, out) in enumerate(izip(output_storage, node.outputs)): + for n, (stor, out) in enumerate(zip(output_storage, node.outputs)): if n in self.inplace_pattern: stor[0] = inputs[self.inplace_pattern[n]] else: --- ./theano/sandbox/gpuarray/blas.py (original) +++ ./theano/sandbox/gpuarray/blas.py (refactored) @@ -6,7 +6,7 @@ try: import pygpu from pygpu import blas -except ImportError, e: +except ImportError as e: # To make sure theano is importable pass --- ./theano/sandbox/gpuarray/basic_ops.py (original) +++ ./theano/sandbox/gpuarray/basic_ops.py (refactored) @@ -19,7 +19,7 @@ except ImportError: pass -from type import GpuArrayType +from .type import GpuArrayType def as_gpuarray_variable(x): @@ -718,7 +718,7 @@ return [out_shape] def grad(self, inp, grads): - return [grad_undefined(self, i, inp[i]) for i in xrange(3)] + return [grad_undefined(self, i, inp[i]) for i in range(3)] def __eq__(self, other): return type(self) == type(other) and self.dtype == other.dtype --- ./theano/sandbox/gpuarray/__init__.py (original) +++ ./theano/sandbox/gpuarray/__init__.py (refactored) @@ -26,9 +26,9 @@ in_c_key=True) # This is for documentation not to depend on the availability of pygpu -from type import (GpuArrayType, GpuArrayVariable, GpuArrayConstant, +from .type import (GpuArrayType, GpuArrayVariable, GpuArrayConstant, GpuArraySharedVariable, gpuarray_shared_constructor) -import opt +from . import opt def init_dev(dev): --- ./theano/sandbox/fourier.py (original) +++ ./theano/sandbox/fourier.py (refactored) @@ -111,7 +111,7 @@ rval = numpy.zeros((rows, cols)) col_range = numpy.arange(cols) scale = numpy.sqrt(2.0/cols) - for i in xrange(rows): + for i in range(rows): rval[i] = numpy.cos(i * (col_range*2+1)/(2.0 * cols) * numpy.pi) * scale if unitary: --- ./theano/sandbox/downsample.py (original) +++ ./theano/sandbox/downsample.py (refactored) @@ -1,5 +1,5 @@ import sys -print >> sys.stderr, "DEPRECATION: theano.sandbox.downsample is deprecated. Use theano.tensor.signal.downsample instead." +print("DEPRECATION: theano.sandbox.downsample is deprecated. Use theano.tensor.signal.downsample instead.", file=sys.stderr) from theano.tensor.signal.downsample import * --- ./theano/sandbox/debug.py (original) +++ ./theano/sandbox/debug.py (refactored) @@ -66,7 +66,7 @@ for r in node.outputs: try: r.type.filter(r.value, strict = True) - except TypeError, e: + except TypeError as e: exc_type, exc_value, exc_trace = sys.exc_info() exc = DebugException(e, "The output %s was filled with data with the wrong type using linker " \ ("%s. This happened at step %i of the program." % (r, linker, i)) + \ @@ -79,7 +79,7 @@ exc.node = node exc.thunk = thunk exc.linker = linker - raise DebugException, exc, exc_trace + raise DebugException(exc).with_traceback(exc_trace) def compare_variables(self, i, node, *thunks): thunk0 = thunks[0] @@ -133,7 +133,7 @@ self.store_value(i, node, *thunks) for f in self.debug_post: RefactoringTool: Refactored ./theano/sandbox/cuda/var.py RefactoringTool: Refactored ./theano/sandbox/cuda/type.py f(i, node, *thunks) - except Exception, e: + except Exception as e: exc_type, exc_value, exc_trace = sys.exc_info() if isinstance(e, DebugException): raise @@ -144,15 +144,15 @@ exc.step = i exc.node = node exc.thunks = thunks - raise DebugException, exc, exc_trace + raise DebugException(exc).with_traceback(exc_trace) def print_info(i, node, *thunks): - print "step %i, node %s" % (i, node) + print("step %i, node %s" % (i, node)) def print_from(i, node, *thunks): - print "parents:", ", ".join(str(input.step) for input in node.inputs) + print("parents:", ", ".join(str(input.step) for input in node.inputs)) def print_input_shapes(i, node, *thunks): shapes = [] @@ -161,13 +161,13 @@ shapes.append(str(input.value.shape)) else: shapes.append('N/A') - print "input shapes:", ", ".join(shapes) + print("input shapes:", ", ".join(shapes)) def print_input_types(i, node, *thunks): - print "input types:", ", ".join(str(type(input.value)) for input in node.inputs) + print("input types:", ", ".join(str(type(input.value)) for input in node.inputs)) def print_sep(i, node, *thunks): - print "===================================" + print("===================================") import numpy def numpy_compare(a, b, tolerance = 1e-6): --- ./theano/sandbox/cuda/var.py (original) +++ ./theano/sandbox/cuda/var.py (refactored) @@ -158,11 +158,11 @@ if broadcastable is None: broadcastable = (False,) * len(value.shape) type = CudaNdarrayType(broadcastable=broadcastable) - print "trying to return?" + print("trying to return?") try: rval = CudaNdarraySharedVariable(type=type, value=_value, name=name, strict=strict) - except Exception, e: - print "ERROR", e + except Exception as e: + print("ERROR", e) raise return rval @@ -200,8 +200,8 @@ try: rval = CudaNdarraySharedVariable(type=type, value=deviceval, name=name, strict=strict) - except Exception, e: - print "ERROR", e + except Exception as e: + print("ERROR", e) raise rval.get_value_return_ndarray = get_value_return_ndarray --- ./theano/sandbox/cuda/type.py (original) +++ ./theano/sandbox/cuda/type.py (refactored) @@ -1,7 +1,7 @@ """Provide CudaNdarrayType """ import os -import copy_reg +import copyreg import numpy @@ -277,7 +277,7 @@ sio = StringIO() fail = sub['fail'] nd = self.ndim - print >> sio, """ + print(""" assert(py_%(name)s->ob_refcnt >= 2); // There should be at least one ref from the container object, // and one ref from the local scope. @@ -295,10 +295,10 @@ %(fail)s; } //std::cerr << "c_extract " << %(name)s << " nd check passed\\n"; - """ % locals() + """ % locals(), file=sio) for i, b in enumerate(self.broadcastable): if b: - print >> sio, """ + print(""" if (CudaNdarray_HOST_DIMS(%(name)s)[%(i)s] != 1) { PyErr_Format(PyExc_RuntimeError, @@ -320,8 +320,8 @@ %(fail)s; } //std::cerr << "c_extract " << %(name)s << "bcast check %(i)s passed\\n"; - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" assert(%(name)s); Py_INCREF(py_%(name)s); } @@ -340,7 +340,7 @@ %(fail)s; } //std::cerr << "c_extract done " << %(name)s << '\\n'; - """ % locals() + """ % locals(), file=sio) #print sio.getvalue() return sio.getvalue() @@ -483,7 +483,7 @@ # the situation. def CudaNdarray_unpickler(npa): return cuda.CudaNdarray(npa) -copy_reg.constructor(CudaNdarray_unpickler) +copyreg.constructor(CudaNdarray_unpickler) def CudaNdaRefactoringTool: Refactored ./theano/sandbox/cuda/tests/walltime.py RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_viewop.py RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_var.py RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_tensor_op.py RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_rng_curand.py RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_opt.py RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_nvcc_compiler.py RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_nnet.py rray_pickler(cnda): @@ -491,5 +491,5 @@ # In case cuda is not imported. if cuda is not None: - copy_reg.pickle(cuda.CudaNdarray, CudaNdarray_pickler, + copyreg.pickle(cuda.CudaNdarray, CudaNdarray_pickler, CudaNdarray_unpickler) --- ./theano/sandbox/cuda/tests/walltime.py (original) +++ ./theano/sandbox/cuda/tests/walltime.py (refactored) @@ -8,23 +8,23 @@ def compare_fns(fns, input, reps=10): times = {} - for implname, impl in fns.iteritems(): + for implname, impl in fns.items(): try: - print 'TOPOSORT', implname + print('TOPOSORT', implname) for i, n in enumerate(impl.maker.fgraph.toposort()): - print i, n + print(i, n) except Exception: pass t0 = time.time() - for i in xrange(reps): + for i in range(reps): impl(input) dt = time.time() - t0 times[implname] = dt return times def showtimes(times): - for impl, dt in times.iteritems(): - print impl, dt + for impl, dt in times.items(): + print(impl, dt) def cmp_sigmoids(shape): def numpy_sigmoid(input): --- ./theano/sandbox/cuda/tests/test_rng_curand.py (original) +++ ./theano/sandbox/cuda/tests/test_rng_curand.py (refactored) @@ -177,8 +177,8 @@ for f in mrg_u, crn_u, mrg_n, crn_n: # don't time the first call, it has some startup cost - print 'DEBUGPRINT' - print '----------' + print('DEBUGPRINT') + print('----------') theano.printing.debugprint(f) for i in range(100): --- ./theano/sandbox/cuda/tests/test_opt.py (original) +++ ./theano/sandbox/cuda/tests/test_opt.py (refactored) @@ -12,6 +12,7 @@ from theano.tests import unittest_tools as utt import theano.sandbox.cuda as cuda +from functools import reduce if cuda.cuda_available == False: raise SkipTest('Optional package cuda disabled') @@ -328,7 +329,7 @@ f = pfunc([b, c], [a + b + c], mode=mode_with_gpu) topo = f.maker.fgraph.toposort() for i, node in enumerate(topo): - print >> sys.stdout, i, node + print(i, node, file=sys.stdout) assert len(topo) == 4 assert isinstance(topo[2].op.scalar_op, theano.scalar.basic.Composite) #let debugmode catch errors @@ -364,7 +365,7 @@ f = theano.function([X,Y], Z, mode=mode_with_gpu) packed, = f.maker.fgraph.inputs[1].clients client, idx = packed - print client + print(client) assert isinstance(client.op, tensor.Elemwise) assert isinstance(client.op.scalar_op, theano.scalar.Cast) packed ,= client.outputs[0].clients --- ./theano/sandbox/cuda/tests/test_nnet.py (original) +++ ./theano/sandbox/cuda/tests/test_nnet.py (refactored) @@ -146,17 +146,17 @@ scaled_err = numpy.minimum(abs_err / atol, rel_err / rtol) max_i = scaled_err.argmax() - print 'max err index:', max_i, max_i / batch_size, - print max_i % batch_size, max_i / n_out, max_i & n_out - print 'At that index:' - print 'err:', scaled_err.flatten()[max_i] - print 'absolute error:', abs_err.flatten()[max_i] - print 'relative error:', rel_err.flatten()[max_i] - print 'cpu_out:', cpu_out.flatten()[max_i] - print 'gpu_out:', gpu_out.flatten()[max_i] - print 'softmax_output_value:', softmax_output_value.flatten()[max_i] - print 'dnll_value:', dnll_value[max_i / n_out] - print 'y_idx_value:', y_idx_value[max_i / n_out] + print('max err index:', max_i, max_i / batch_size, end=' ') + print(max_i % batch_size, max_i / n_out, max_i & n_out) + print('At that index:') + print('err:', scaled_err.flatten()[max_i]) + print('absolute error:', abs_err.flatten()[max_i]) + print('relative error:', rel_err.flatten()[max_i]) + print('cpu_out:', cpu_out.flatten()[max_i]) + print('gpu_out:', gpu_out.flatten()[max_i]) + print('softmax_output_value:', softmax_output_value.flatten()[max_i]) + print('dnll_value:', dnlRefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_neighbours.py RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_mlp.py l_value[max_i / n_out]) + print('y_idx_value:', y_idx_value[max_i / n_out]) assert False, "numpy.allclose(cpu_out, gpu_out, rtol=%s, atol=%s)" % ( rtol, atol) --- ./theano/sandbox/cuda/tests/test_mlp.py (original) +++ ./theano/sandbox/cuda/tests/test_mlp.py (refactored) @@ -1,7 +1,7 @@ import copy import logging import time -from itertools import izip + from nose.plugins.skip import SkipTest import numpy @@ -59,14 +59,14 @@ def print_mode(mode): - if mode is not None and isinstance(mode, (theano.compile.ProfileMode,)): + if mode is not None and isinstance(mode, theano.compile.ProfileMode): mode.print_summary() def print_diff_mode(a, b): if (a is not None and - isinstance(a, (theano.compile.ProfileMode,)) and - isinstance(b, (theano.compile.ProfileMode,))): + isinstance(a, theano.compile.ProfileMode) and + isinstance(b, theano.compile.ProfileMode)): a.print_diff_summary(b) @@ -96,7 +96,7 @@ out = tensor.tanh(tensor.dot(hid, v) + c) loss = tensor.sum(0.5 * (out - y) ** 2 * lr) if 0: - print 'loss type', loss.type + print('loss type', loss.type) params = [w, b, v, c] gparams = tensor.grad(loss, params) @@ -105,11 +105,11 @@ #print 'building pfunc ...' train = pfunc([x, y, lr], [loss], mode=mode, - updates=[(p, p - g) for p, g in izip(params, gparams)]) + updates=[(p, p - g) for p, g in zip(params, gparams)]) if 0: for i, n in enumerate(train.maker.fgraph.toposort()): - print i, n + print(i, n) xval = my_rand(n_batch, n_in) yval = my_rand(n_batch, n_out) @@ -117,7 +117,7 @@ t0 = time.time() rval = [] - for i in xrange(n_train): + for i in range(n_train): rval.append(train(xval, yval, lr)) dt = time.time() - t0 @@ -210,7 +210,7 @@ yval = my_rand(n_batch, n_out) lr = theano._asarray(0.01, dtype='float32') - for i in xrange(n_train): + for i in range(n_train): rval = train(xval, yval, lr) #print 'training done' print_mode(mode) @@ -301,7 +301,7 @@ xval = my_rand(*shape_img) yval = my_rand(n_batch, n_out) # int32 make all 0... lr = theano._asarray(0.01, dtype='float32') - for i in xrange(n_train): + for i in range(n_train): rval = train(xval, yval, lr) print_mode(mode) @@ -328,7 +328,7 @@ isize1 = isize isize2 = isize - if isinstance(isize, (tuple, )): + if isinstance(isize, tuple): isize1 = isize[0] isize2 = isize[1] @@ -432,16 +432,16 @@ rvals = my_zeros(n_train) t0 = time.time() - for i in xrange(n_train): + for i in range(n_train): rvals[i] = train(xval, yval, lr)[0] t1 = time.time() print_mode(mode) if pickle and isinstance(mode, theano.compile.ProfileMode): import pickle - print "BEGIN %s profile mode dump" % device - print pickle.dumps(mode) - print "END %s profile mode dump" % device + print("BEGIN %s profile mode dump" % device) + print(pickle.dumps(mode)) + print("END %s profile mode dump" % device) #print "%s time: %.3f" % (device, t1-t0) #print "estimated time for one pass through MNIST with %s: %f" % ( @@ -542,12 +542,12 @@ # Compare results if (verbose or not numpy.allclose(rval_cpu, rval_gpu, rtol=1e-5, atol=float_atol)): - print "At batch:", i + 1 - print "CPU:", rval_cpu - print "GPU:", rval_gpu - print "abs diff:", numpy.absolute(rval_gpu - rval_cpu) - print "rel diff:", numpy.absolute(( - rval_gpu - rval_cpu) / rval_gpu) + print("At batch:", i + 1) + print("CPU:", rval_cpu) + print("GPU:", rval_gpu) + print("abs diff:", numpy.absolute(rval_gpu - rval_cpu)) + print("rel diff:", numpy.absolute(( + RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_memory.py rval_gpu - rval_cpu) / rval_gpu)) if not ignore_error: assert numpy.allclose(rval_cpu, rval_gpu, @@ -564,14 +564,14 @@ if pickle: if isinstance(cpu_mode, theano.compile.ProfileMode): import pickle - print "BEGIN CPU profile mode dump" - print pickle.dumps(cpu_mode) - print "END CPU profile mode dump" + print("BEGIN CPU profile mode dump") + print(pickle.dumps(cpu_mode)) + print("END CPU profile mode dump") if isinstance(gpu_mode, theano.compile.ProfileMode): import pickle - print "BEGIN GPU profile mode dump" - print pickle.dumps(gpu_mode) - print "END GPU profile mode dump" + print("BEGIN GPU profile mode dump") + print(pickle.dumps(gpu_mode)) + print("END GPU profile mode dump") #print "CPU time: %.3f, GPU time: %.3f, speed up %f" % ( # (time_cpu, time_gpu, time_cpu/time_gpu)) --- ./theano/sandbox/cuda/tests/test_memory.py (original) +++ ./theano/sandbox/cuda/tests/test_memory.py (refactored) @@ -70,42 +70,42 @@ # more_alloc1 if after the first compilation, more_alloc2 after the second. for dtype, more_alloc1, more_alloc2 in [("float32", 1, 4), ("float64", 0, 0)]: - print dtype + print(dtype) test_params = np.asarray(np.random.randn(np.prod(shapes)), dtype) some_vector = tensor.vector('some_vector', dtype=dtype) some_matrix = some_vector.reshape(shapes) mem1 = freemem() - print "Before shared variable", mem1 + print("Before shared variable", mem1) variables = cuda.shared_constructor(np.ones((shapes[1],), dtype='float32')) derp = tensor.sum(tensor.dot(some_matrix[:shapes[0]], variables)) - print "Shared took ", np.prod(variables.get_value( + print("Shared took ", np.prod(variables.get_value( borrow=True, - return_internal_type=True).shape) * 4 / 1024, "kB" + return_internal_type=True).shape) * 4 / 1024, "kB") mem2 = freemem() - print "Before compilation", mem2 + print("Before compilation", mem2) mem2_1 = freemem(extra_alloc=more_alloc1) mem2_2 = freemem(extra_alloc=more_alloc2) obj = theano.function([some_vector], derp, mode=mode_with_gpu) mem3 = freemem() - print "After function compilation 1", mem3 + print("After function compilation 1", mem3) assert mem2_1 == mem3, (mem2_1, mem3) grad_derp = tensor.grad(derp, some_vector) grad = theano.function([some_vector], grad_derp, mode=mode_with_gpu) mem4 = freemem() - print "After function compilation 2", mem4 + print("After function compilation 2", mem4) assert mem2_2 == mem4, (mem2_2, mem4) for i in range(3): obj(test_params) - print "After function evaluation 1", freemem() + print("After function evaluation 1", freemem()) assert mem2_2 == freemem(), (mem2_2, freemem()) grad(test_params) - print "After function evaluation 2", freemem() + print("After function evaluation 2", freemem()) assert mem2_2 == freemem(), (mem2_2, freemem()) del obj @@ -113,11 +113,11 @@ #assert mem2 == freemem(), (mem2, freemem()) del grad - print "After deleting function 2", freemem() + print("After deleting function 2", freemem()) assert mem2 == freemem(), (mem2, freemem()) del derp, variables, grad_derp - print "After deleting shared variable and ref to it", freemem() + print("After deleting shared variable and ref to it", freemem()) assert mem1 == freemem(), (mem1, freemem()) @@ -137,7 +137,7 @@ # more_alloc1 if after the first compilation, more_alloc2 after the second. RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_gradient.py RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_driver.py RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_cuda_ndarray.py for dtype, more_alloc1 in [("float32", 2), ("float64", 0)]: - print dtype + print(dtype) test_params = np.asarray(np.random.randn(np.prod(shapes)), dtype) some_vector = tensor.vector('some_vector', dtype=dtype) @@ -145,39 +145,39 @@ branch_select = tensor.iscalar() mem1 = freemem() - print "Before shared variable", mem1 + print("Before shared variable", mem1) variables = cuda.shared_constructor(np.ones((shapes[1],), dtype='float32')) derp = tensor.sum(tensor.dot(some_matrix[:shapes[0]], variables)) derp = ifelse.IfElse(1)(branch_select, derp, some_matrix[:shapes[0]].sum()) derp += 1 - print "Shared took ", np.prod(variables.get_value( + print("Shared took ", np.prod(variables.get_value( borrow=True, - return_internal_type=True).shape) * 4 / 1024, "kB" + return_internal_type=True).shape) * 4 / 1024, "kB") mem2 = freemem() - print "Before compilation", mem2 + print("Before compilation", mem2) mem2_1 = freemem(extra_alloc=more_alloc1) obj = theano.function([some_vector, branch_select], derp, mode=mode_with_gpu) #theano.printing.debugprint(obj, print_type=True) mem3 = freemem() - print "After function compilation 1", mem3 + print("After function compilation 1", mem3) assert mem2_1 == mem3, (mem2_1, mem3) for i in range(3): obj(test_params, 1) - print "After function evaluation branch true", freemem() + print("After function evaluation branch true", freemem()) assert mem2_1 == freemem(), (mem2_1, freemem()) obj(test_params, 0) - print "After function evaluation branch false", freemem() + print("After function evaluation branch false", freemem()) assert mem2_1 == freemem(), (mem2_1, freemem()) del obj - print "After deleting function 1", freemem() + print("After deleting function 1", freemem()) assert mem2 == freemem(), (mem2, freemem()) del derp, variables - print "After deleting shared variable and ref to it", freemem() + print("After deleting shared variable and ref to it", freemem()) assert mem1 == freemem(), (mem1, freemem()) --- ./theano/sandbox/cuda/tests/test_cuda_ndarray.py (original) +++ ./theano/sandbox/cuda/tests/test_cuda_ndarray.py (refactored) @@ -461,7 +461,7 @@ try: bb = b.reshape(shape_2) - except Exception, ValueError: + except Exception as ValueError: return assert False @@ -509,7 +509,7 @@ offset = 0 b_strides = b._strides - for i in xrange(len(b.shape)): + for i in range(len(b.shape)): offset += (b.shape[i]-1) * b_strides[i] v._set_stride(i, -b_strides[i]) @@ -566,8 +566,8 @@ def _cmp(x,y): assert x.shape == y.shape if not numpy.all(x == y): - print x - print y + print(x) + print(y) assert numpy.all(x == y) def _cmpf(x,*y): @@ -746,7 +746,7 @@ # attempt to assign the ndarray b with setitem _a[:,1,1] = _b assert False - except ValueError, e: + except ValueError as e: #print e assert True @@ -755,7 +755,7 @@ # attempt to assign the ndarray b with setitem _a[1,1,:] = b assert False - except ValueError, e: + except ValueError as e: #print e assert True @@ -772,7 +772,7 @@ # attempt to assign the ndarray b with setitem _a[:,:,1] = _b assert False - except ValueError, e: + except ValueError as e: #print e assert True @@ -781,7 +781,7 @@ # attempt to assign the ndarray b with setitem _a[1,:,:] = RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py b assert False - except ValueError, e: + except ValueError as e: #print e assert True @@ -798,7 +798,7 @@ # attempt to assign the ndarray b with setitem _a[1,:,:] = b assert False - except TypeError, e: + except TypeError as e: #print e assert True @@ -933,7 +933,7 @@ _a[0, :, :] = mat #a[0, :, :] = mat #assert numpy.allclose(numpy.asarray(_a), a) - except ValueError, e: + except ValueError as e: pass #test direct transfert from numpy with broadcast @@ -983,7 +983,7 @@ # Test that the 'base' attribute of a CudaNdarray is the one # built initially, not an intermediate one. a = cuda_ndarray.CudaNdarray.zeros((3,4,5)) - for i in xrange(5): + for i in range(5): b = a[:] assert b.base is a --- ./theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py (original) +++ ./theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py (refactored) @@ -55,10 +55,10 @@ img.shape[2] - kern.shape[2] + 1, img.shape[3] - kern.shape[3] + 1) out = numpy.zeros(outshp, dtype='float32') - for b in xrange(out.shape[0]): - for k in xrange(out.shape[1]): - for rr in xrange(out.shape[2]): - for cc in xrange(out.shape[3]): + for b in range(out.shape[0]): + for k in range(out.shape[1]): + for rr in range(out.shape[2]): + for cc in range(out.shape[3]): #rr, cc is the upper-left corner of img patches imgpatch = img[b, :, rr:rr + kern.shape[2], cc:cc + kern.shape[3]] @@ -109,9 +109,9 @@ img.shape[2] + kern.shape[2] - 1, img.shape[3] + kern.shape[3] - 1) out = numpy.zeros(outshp, dtype='float32') - for b in xrange(out.shape[0]): - for k in xrange(out.shape[1]): - for s in xrange(img.shape[1]): + for b in range(out.shape[0]): + for k in range(out.shape[1]): + for s in range(img.shape[1]): out[b, k, :, :] += convolve2d(img[b, s, :, :], kern[k, s, :, :], mode) @@ -119,7 +119,7 @@ def _params_allgood_header(): - print "ishape kshape #Mflops CPU Mflops GPU Mflops Speedup" + print("ishape kshape #Mflops CPU Mflops GPU Mflops Speedup") def _params_allgood(ishape, kshape, mode, subsample=(1, 1), img_stride=(1, 1), @@ -189,14 +189,14 @@ assert (numpy.asarray(gpuval) == numpy.asarray(gpuval2)).all() gpuval = numpy.asarray(gpuval) if gpuval.shape != cpuval.shape: - print >> sys.stdout, "ERROR: shape mismatch", - print >> sys.stdout, gpuval.shape, cpuval.shape + print("ERROR: shape mismatch", end=' ', file=sys.stdout) + print(gpuval.shape, cpuval.shape, file=sys.stdout) rval = False if rval: rval = numpy.allclose(cpuval, gpuval, rtol=rtol) assert numpy.all(numpy.isfinite(gpuval)) - except NotImplementedError, e: - print >> sys.stdout, '_params_allgood Failed allclose', e + except NotImplementedError as e: + print('_params_allgood Failed allclose', e, file=sys.stdout) rval = False if (t2 is not None): @@ -209,38 +209,38 @@ cpu_mflops = approx_fp / (t1 - t0) gpu_mflops = approx_fp / (t2 - t1) if verbose > 0: - print >> sys.stdout, '%15s' % str(ishape), '%15s' % str(kshape), - print >> sys.stdout, '%12.5f %7.2f %7.2f %7.1f' % (approx_fp, - cpu_mflops, gpu_mflops, (t1 - t0) / (t2 - t1)) + print('%15s' % str(ishape), '%15s' % str(kshape), end=' ', file=sys.stdout) + print('%12.5f %7.2f %7.2f %7.1f' % (approx_fp, + cpu_mflops, gpu_mflops, (t1 - t0) / (t2 - t1)), file=sys.stdout) if not rval: - print >> sys.stdout, ('test_' + mode + ' id=' + str(id) + + RefactoringTool: No changes to ./theano/sandbox/cuda/tests/test_blas.py RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_bench_loopfusion.py print(('test_' + mode + ' id=' + str(id) + ' FAILED for ishape, kshape, mode, subsample,' + ' img_stride, kern_stride, version', ishape, kshape, mode, subsample, img_stride, kern_stride, - version) + version), file=sys.stdout) diff = cpuval - gpuval diffabs = numpy.absolute(diff) pr_diff = diffabs / numpy.absolute(cpuval) nb_close = (diffabs <= (atol + rtol * numpy.absolute(gpuval))).sum() - print "max absolute diff:", (diffabs.max(), "avg abs diff:", - numpy.average(diffabs)) - print "median abs diff:", (numpy.median(diffabs), "nb close:", - nb_close, "/", diff.size) - print "max relatif diff:", (pr_diff.max(), "avg rel diff:", - numpy.average(pr_diff)) + print("max absolute diff:", (diffabs.max(), "avg abs diff:", + numpy.average(diffabs))) + print("median abs diff:", (numpy.median(diffabs), "nb close:", + nb_close, "/", diff.size)) + print("max relatif diff:", (pr_diff.max(), "avg rel diff:", + numpy.average(pr_diff))) if not rval and print_ != False: if npy_img.shape[0] > 5: - print "img", npy_img[0] - print "kern", npy_kern[0] - print "gpu", gpuval[0][0] - print "cpu", cpuval[0][0] - print "diff", diff[0][0] + print("img", npy_img[0]) + print("kern", npy_kern[0]) + print("gpu", gpuval[0][0]) + print("cpu", cpuval[0][0]) + print("diff", diff[0][0]) else: - print "img", npy_img - print "kern", npy_kern - print "gpu", gpuval - print "cpu", cpuval - print "diff", diff + print("img", npy_img) + print("kern", npy_kern) + print("gpu", gpuval) + print("cpu", cpuval) + print("diff", diff) return rval @@ -273,9 +273,9 @@ print_=print_, rtol=rtol, ones=ones) - except Exception, e: - print ver, id, (ishape, kshape, subshape, istride, kstride) - print e + except Exception as e: + print(ver, id, (ishape, kshape, subshape, istride, kstride)) + print(e) pass if not ret: failed_version.add(ver) @@ -283,11 +283,11 @@ nb_failed += 1 nb_tests += 1 if nb_failed > 0: - print "nb_failed", nb_failed, "on", nb_tests, - print "failed_version", failed_version, "failed_id", failed_id + print("nb_failed", nb_failed, "on", nb_tests, end=' ') + print("failed_version", failed_version, "failed_id", failed_id) assert nb_failed == 0, nb_failed else: - print 'Executed', nb_tests, 'different shapes' + print('Executed', nb_tests, 'different shapes') def get_basic_shapes(): @@ -801,8 +801,8 @@ gpuval = cuda_ndarray.conv(img, kern, mode, subsample) t2 = time.time() gpuval = numpy.asarray(gpuval) - print gpuval - print cpuval + print(gpuval) + print(cpuval) def benchmark(): --- ./theano/sandbox/cuda/tests/test_bench_loopfusion.py (original) +++ ./theano/sandbox/cuda/tests/test_bench_loopfusion.py (refactored) @@ -9,7 +9,7 @@ # so state is ignored # since this job is not restartable, channel is also ignored -import logging, StringIO, time, sys +import logging, io, time, sys import numpy @@ -74,12 +74,12 @@ if use_softmax_w: w = shared_uniform(low=-.1, high=.1, size=(n_out, n_terms), name='Kouh2008::w') w_sm = theano.tensor.nnet.softmax(w) - w_list = [w_sm[:,i] for i in xrange(n_terms)] + RefactoringTool: Refactored ./theano/sandbox/cuda/tests/test_basic_ops.py w_list = [w_sm[:,i] for i in range(n_terms)] w_l1 = abs(w).sum() w_l2_sqr = (w**2).sum() else: w_list = [shared_uniform(low=-2.0/n_terms, high=2.0/n_terms, size=(n_out,), name='w_%i'%i) - for i in xrange(n_terms)] + for i in range(n_terms)] w_l1 = sum(abs(wi).sum() for wi in w_list) w_l2_sqr = sum((wi**2).sum() for wi in w_list) @@ -158,15 +158,15 @@ return _shared_uniform(rng, low, high, size, dtype, name) f_list = [shared_uniform(low=-2.0/numpy.sqrt(n_in), high=2.0/numpy.sqrt(n_in), size=(n_in, n_out), name='f_%i'%i) - for i in xrange(n_terms)] + for i in range(n_terms)] b_list = [shared_uniform(low=0, high=.01, size=(n_out,), name='b_%i'%i) - for i in xrange(n_terms)] + for i in range(n_terms)] #x_list = [theano._asarray(eps, dtype=dtype)+softplus(tensor.dot(input, f_list[i])) for i in xrange(n_terms)] filter_range = theano._asarray(filter_range, dtype=dtype) half_filter_range = theano._asarray(filter_range/2, dtype=dtype) x_list = [theano._asarray(filter_range + eps, dtype=dtype)+half_filter_range *softsign(tensor.dot(input, f_list[i]) + - b_list[i]) for i in xrange(n_terms)] + b_list[i]) for i in range(n_terms)] rval = cls.new_expbounds(rng, x_list, n_out, dtype=dtype, params=f_list + b_list, exponent_range=exponent_range) @@ -202,10 +202,10 @@ def pixel_range(x): return 255 * (x - x.min()) / (x.max() - x.min() + eps) - for r in xrange(rows): + for r in range(rows): out_r_low = r*(row_gap + filter_shape[0]) out_r_high = out_r_low + filter_shape[0] - for c in xrange(cols): + for c in range(cols): out_c_low = c*(col_gap + filter_shape[1]) out_c_high = out_c_low + filter_shape[1] out_tile = out_array[out_r_low:out_r_high, out_c_low:out_c_high,:] @@ -218,14 +218,14 @@ if w_col < w.shape[1]: #filters after the 3rd do not get rendered, but are skipped over. # there are only 3 colour channels. - for i in xrange(min(self.n_E_quadratic,3)): + for i in range(min(self.n_E_quadratic,3)): out_tile[:,:,i] = pixel_range(w[:,w_col+i]).reshape(filter_shape) w_col += self.n_E_quadratic if c % 3 == 2: # S filters if w_col < w.shape[1]: #filters after the 3rd do not get rendered, but are skipped over. # there are only 3 colour channels. - for i in xrange(min(self.n_S_quadratic,3)): + for i in range(min(self.n_S_quadratic,3)): out_tile[:,:,2-i] = pixel_range(w[:,w_col+i]).reshape(filter_shape) w_col += self.n_S_quadratic return Image.fromarray(out_array, 'RGB') @@ -307,7 +307,7 @@ assert cost.type.ndim == 0 - print layer.params + print(layer.params) gparams = theano.tensor.grad(cost, layer.params) updates = [(p, p - s_lr*gp) for p, gp in zip(layer.params, gparams)] @@ -319,5 +319,5 @@ dtype=conf.dtype2, ) yval = numpy.arange(conf.ft_batchsize) - for i in xrange(n_iter): + for i in range(n_iter): train_nll(xval, yval, conf.lr) --- ./theano/sandbox/cuda/tests/test_basic_ops.py (original) +++ ./theano/sandbox/cuda/tests/test_basic_ops.py (refactored) @@ -146,7 +146,7 @@ f_caused_value_error = False try: f_out = f(val) - except ValueError, e: + except ValueError as e: exc = e f_caused_value_error = True except NotImplementedError: @@ RefactoringTool: No changes to ./theano/sandbox/cuda/rng_curand.py RefactoringTool: Refactored ./theano/sandbox/cuda/opt.py -158,23 +158,23 @@ f2_caused_value_error = False try: f2_out = f2(val) - except ValueError, e: + except ValueError as e: exc2 = e f2_caused_value_error = True if f_caused_value_error != f2_caused_value_error: if f_caused_value_error: - print 'f caused this value error:' - print exc + print('f caused this value error:') + print(exc) else: - print 'f did not raise a value error, but should have' + print('f did not raise a value error, but should have') if f2_caused_value_error: - print 'f2 caused this value error:' - print exc2 + print('f2 caused this value error:') + print(exc2) else: - print 'f should not have raised a value error' - print 'shape was: ', shape - print 'pattern was: ', pattern + print('f should not have raised a value error') + print('shape was: ', shape) + print('pattern was: ', pattern) assert False try: @@ -204,7 +204,7 @@ pat = tensor_pattern_to_gpu_pattern(shape, pattern) a = tensor.TensorType('float32', (False,) * len(shape))() - dim_pattern = range(len(shape)) + dim_pattern = list(range(len(shape))) dim_pattern[0] = 1 dim_pattern[1] = 0 a = a.dimshuffle(dim_pattern) @@ -349,7 +349,7 @@ f = pfunc([b], [], updates=[(a, a + b)], mode=mode_with_gpu) #check that we work inplace. - assert f.maker.fgraph.toposort()[1].op.destroy_map.items() == [(0, [0])] + assert list(f.maker.fgraph.toposort()[1].op.destroy_map.items()) == [(0, [0])] a0 = a.get_value() * 1.0 f(numpy.ones((4, 4), dtype='float32')) @@ -951,9 +951,9 @@ # The variable fast is used to set the member perform_using_take of # the Op. It is only useful for testing that we use the fast # version when we should. Users should not use it. - for shape, idx, fast in [((70000,), range(70000), True), - ((70000, 5), range(70000), True), - ((70000, 2, 3), range(70000), True), + for shape, idx, fast in [((70000,), list(range(70000)), True), + ((70000, 5), list(range(70000)), True), + ((70000, 2, 3), list(range(70000)), True), ((1025, 1025), [5, 10], True), ((3, 1025, 1026), [1, 2], True), ((1025, 67000), [5, 10], True), @@ -1080,11 +1080,11 @@ for nb_dim in [2, 3, 4, 5]: shapes = [rng.randint(1, 5) for i in range(nb_dim)] args = [numpy.cast['float32'](rng.randn(*shapes)) - for arg in xrange(0, num_args)] + for arg in range(0, num_args)] symb_args = [theano.tensor.TensorType('float32', (False,)*nb_dim)() - for arg in xrange(0, num_args)] + for arg in range(0, num_args)] outputs = [] @@ -1252,7 +1252,7 @@ f = theano.function([vec], var[vec], mode=mode_with_gpu) for i in range(100): f(idx) - print "ProfileMode with batch size", batch_size + print("ProfileMode with batch size", batch_size) mode_with_gpu.print_summary() if __name__ == '__main__': --- ./theano/sandbox/cuda/opt.py (original) +++ ./theano/sandbox/cuda/opt.py (refactored) @@ -1,4 +1,5 @@ import logging +from functools import reduce _logger = logging.getLogger('theano.sandbox.cuda.opt') import copy @@ -623,8 +624,7 @@ RefactoringTool: Refactored ./theano/sandbox/cuda/nvcc_compiler.py if rval.type == node.outputs[0].type: return [rval] else: - print >> sys.stderr, \ - "WARNING: local_gpu_careduce got type wrong" + print("WARNING: local_gpu_careduce got type wrong", file=sys.stderr) return None else: @@ -640,7 +640,7 @@ new_in_shp = [x_shape[0]] new_mask = [reduce_mask[0]] - for i in xrange(1, x.type.ndim): + for i in range(1, x.type.ndim): if reduce_mask[i] == reduce_mask[i - 1]: new_in_shp[-1] *= x_shape[i] else: @@ -663,8 +663,7 @@ if unreshaped_reduce.type == node.outputs[0].type: return [unreshaped_reduce] else: - print >> sys.stderr, \ - "WARNING: local_gpu_careduce got type wrong" + print("WARNING: local_gpu_careduce got type wrong", file=sys.stderr) return None return False @@ -1220,7 +1219,7 @@ assert int_size == gpu_int_size del gpu_int_size del t - except Exception, e: + except Exception as e: _logger.warning(("Optimization Warning: " "Got the following error, but we can ignore it. " "This could cause less GpuElemwise fused together.\n" @@ -1284,7 +1283,7 @@ return False while len(node.inputs) > max_nb_inputs: inner_op = [] - for i in xrange(0, + for i in range(0, len(node.inputs), max_nb_inputs): inner_op.append(node.op(*node.inputs[i: i + max_nb_inputs])) @@ -1530,8 +1529,8 @@ scan_outs = [safe_to_gpu(x) for x in thescan.outputs] scan_outs = scan_utils.clone( scan_outs, - replace=zip(thescan.inputs, - [safe_to_cpu(x) for x in scan_ins])) + replace=list(zip(thescan.inputs, + [safe_to_cpu(x) for x in scan_ins]))) # We need to construct the hash here, because scan # __init__ does not know about cuda ndarray and can not # handle graphs with inputs being Cuda Ndarrays @@ -1578,8 +1577,8 @@ scan_outs = [safe_to_gpu(x) for x in thescan.outputs] scan_outs = scan_utils.clone( scan_outs, - replace=zip(thescan.inputs, - [safe_to_cpu(x) for x in scan_ins])) + replace=list(zip(thescan.inputs, + [safe_to_cpu(x) for x in scan_ins]))) # We need to construct the hash here, because scan # __init__ does not know about cuda ndarray and can not --- ./theano/sandbox/cuda/nvcc_compiler.py (original) +++ ./theano/sandbox/cuda/nvcc_compiler.py (refactored) @@ -1,4 +1,4 @@ -import commands +import subprocess import distutils import logging import os @@ -271,7 +271,7 @@ # On the mac, nvcc is not able to link using -framework # Python, so we have manually add the correct library and # paths - darwin_python_lib = commands.getoutput('python-config --ldflags') + darwin_python_lib = subprocess.getoutput('python-config --ldflags') else: # sometimes, the linker cannot find -lpython so we need to tell it # explicitly where it is located @@ -359,7 +359,7 @@ cmd.pop(indexof) # Remove -framework cmd.pop(indexof) # Remove argument to -framework cmd.extend(newarg) - except ValueError, e: + except ValueError as e: done = True # Remove "-u Symbol" arguments, since thRefactoringTool: Refactored ./theano/sandbox/cuda/nnet.py RefactoringTool: No changes to ./theano/sandbox/cuda/neighbours.py RefactoringTool: No changes to ./theano/sandbox/cuda/kernel_codegen.py RefactoringTool: Refactored ./theano/sandbox/cuda/elemwise.py ey are usually not @@ -372,7 +372,7 @@ indexof = cmd.index('-u') cmd.pop(indexof) # Remove -u cmd.pop(indexof) # Remove argument to -u - except ValueError, e: + except ValueError as e: done = True # Fix for MacOS X. @@ -411,8 +411,8 @@ if p.returncode: for i, l in enumerate(src_code.split('\n')): - print >> sys.stderr, i + 1, l - print >> sys.stderr, '===============================' + print(i + 1, l, file=sys.stderr) + print('===============================', file=sys.stderr) # filter the output from the compiler for l in nvcc_stderr.split('\n'): if not l: @@ -426,17 +426,17 @@ continue except Exception: pass - print >> sys.stderr, l - print nvcc_stdout - print cmd + print(l, file=sys.stderr) + print(nvcc_stdout) + print(cmd) raise Exception('nvcc return status', p.returncode, 'for cmd', ' '.join(cmd)) elif config.cmodule.compilation_warning and nvcc_stdout: - print nvcc_stdout + print(nvcc_stdout) if nvcc_stdout: # this doesn't happen to my knowledge - print >> sys.stderr, "DEBUG: nvcc STDOUT", nvcc_stdout + print("DEBUG: nvcc STDOUT", nvcc_stdout, file=sys.stderr) if py_module: #touch the __init__ file --- ./theano/sandbox/cuda/nnet.py (original) +++ ./theano/sandbox/cuda/nnet.py (refactored) @@ -94,7 +94,7 @@ classname = self.__class__.__name__ fail = sub['fail'] sio = StringIO() - print >> sio, """ + print(""" if (%(y_idx)s->nd != 1) { PyErr_SetString(PyExc_ValueError, "y_idx not 1d tensor"); @@ -206,7 +206,7 @@ %(fail)s; } } - """ % locals() + """ % locals(), file=sio) return sio.getvalue() def c_code_cache_version(self): --- ./theano/sandbox/cuda/elemwise.py (original) +++ ./theano/sandbox/cuda/elemwise.py (refactored) @@ -78,57 +78,57 @@ #print 'C_SRC_KERNEL', sio.getvalue() for ipos, i in enumerate(node.inputs): - print >> sio, "// Input ", ipos, str(i.type) + print("// Input ", ipos, str(i.type), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, "// Output ", ipos, str(i.type) - print >> sio, "static __global__ void kernel_%s_%s_%s(unsigned int numEls" % ( - self.scalar_op.__class__.__name__, nodename, nd) + print("// Output ", ipos, str(i.type), file=sio) + print("static __global__ void kernel_%s_%s_%s(unsigned int numEls" % ( + self.scalar_op.__class__.__name__, nodename, nd), file=sio) if (nd): - print >> sio, "\t,", ", ".join("const int dim%i" % i - for i in xrange(nd)) + print("\t,", ", ".join("const int dim%i" % i + for i in range(nd)), file=sio) #declare inputs for ipos, i in enumerate(node.inputs): s = ", ".join(["const float * i%i_data" % ipos] + - ["int i%i_str_%i" % (ipos, d) for d in xrange(nd)]) - print >> sio, "\t,", s + ["int i%i_str_%i" % (ipos, d) for d in range(nd)]) + print("\t,", s, file=sio) #declare outputs for ipos, i in enumerate(node.outputs): s = ", ".join(["float * o%i_data" % ipos] + - ["int o%i_str_%i" % (ipos, d) for d in xrange(nd)]) - print >> sio, "\t,", s + ["int o%i_str_%i" % (ipos, d) for d in range(nd)]) + print("\t,", s, file=sio) #print >> sio, "\t,", ", ".join("int o%i_str_%i" % (ipos, d) for d in xrange(nd)) #print >> sio, "\t,", "float * o%i_data" % ipos - print >> sio, "\t)\n{" - print >> sio, " const int idx = blockIdx.x * blockDim.x + threadIdx.x;" - print >> sio, " const int numThreads = blockDim.x * gridDim.x;" + print("\t)\n{", file=sio) + print(" const int idx = blockIdx.x * blockDim.x + threadIdx.x;", file=sio) + print(" const int numThreads = blockDim.x * gridDim.x;", file=sio) # For each input that is a scalar which has been broadcasted to a tensor, # load it into a local variable for ipos, i in enumerate(node.inputs): if _logical_scalar(i): - print >> sio, " const float ii_i%i_value = i%i_data[0];" % (ipos, ipos) + print(" const float ii_i%i_value = i%i_data[0];" % (ipos, ipos), file=sio) #loop over the elements to be treated by this kernel call - print >> sio, " for (int i = idx; i < numEls; i += numThreads) {" + print(" for (int i = idx; i < numEls; i += numThreads) {", file=sio) # calculate the data pointers for all arguments - print >> sio, " int ii = i;" + print(" int ii = i;", file=sio) for ipos, i in enumerate(node.inputs): if not _logical_scalar(i): - print >> sio, " const float * ii_i%i_data = i%i_data;" % (ipos, ipos) + print(" const float * ii_i%i_data = i%i_data;" % (ipos, ipos), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, " float * ii_o%i_data = o%i_data;" % (ipos, ipos) - for d in xrange(nd-1, -1, -1): + print(" float * ii_o%i_data = o%i_data;" % (ipos, ipos), file=sio) + for d in range(nd-1, -1, -1): if d > 0: - print >> sio, " int pos%i = ii %% dim%i;" %(d, d) - print >> sio, " ii = ii / dim%i;" %d + print(" int pos%i = ii %% dim%i;" %(d, d), file=sio) + print(" ii = ii / dim%i;" %d, file=sio) else: - print >> sio, " int pos%i = ii;" %d + print(" int pos%i = ii;" %d, file=sio) for ipos, i in enumerate(node.inputs): if not _logical_scalar(i): - print >> sio, " ii_i%i_data += pos%i * i%i_str_%i;" % (ipos, d, ipos, d) + print(" ii_i%i_data += pos%i * i%i_str_%i;" % (ipos, d, ipos, d), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, " ii_o%i_data += pos%i * o%i_str_%i;" % (ipos, d, ipos, d) + print(" ii_o%i_data += pos%i * o%i_str_%i;" % (ipos, d, ipos, d), file=sio) # perform the scalar operation on the input and output references #TODO: What if the scalar_op needs support_code?? @@ -142,13 +142,13 @@ get_str_list_logical_scalar(node), ['ii_o%i_data[0]' % ipos for ipos, i in enumerate(node.outputs)], sub=dict(fail='return;')) # TODO: set a failure code somehow!!! - print >> sio, " ", task_code - print >> sio, " }" + print(" ", task_code, file=sio) + print(" }", file=sio) #indent = " "*(4*d+7) #for ipos, i in enumerate(node.inputs): #print >> sio, indent, "const float * i%i" % ipos, '= i%i_data', '' - print >> sio, "}" + print("}", file=sio) #print sio.getvalue() return sio.getvalue() @@ -187,44 +187,44 @@ if nd in (4,): # print some leading comments to make the code easier to read for ipos, i in enumerate(node.inputs): - print >> sio, "// Input ", ipos, str(i.type) + print("// Input ", ipos, str(i.type), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, "// Output ", ipos, str(i.type) - print >> sio, "static __global__ void kernel_%s_%s_%s(unsigned int numEls" %( + print("// Output ", ipos, str(i.type), file=sio) + print("static __global__ void kernel_%s_%s_%s(unsigned int numEls" %( self.scalar_op.__class__.__name__, nodename, - 'tiling%i'%nd) + 'tiling%i'%nd), file=sio) if (nd): - print >> sio, "\t,", ", ".join("const int dim%i" % i for i in xrange(nd)) + print("\t,", ", ".join("const int dim%i" % i for i in range(nd)), file=sio) #declare inputs for ipos, i in enumerate(node.inputs): - s = ", ".join(["const float * i%i_data" % ipos] + list("int i%i_str_%i" % (ipos, d) for d in xrange(nd))) - print >> sio, "\t,", s + s = ", ".join(["const float * i%i_data" % ipos] + list("int i%i_str_%i" % (ipos, d) for d in range(nd))) + print("\t,", s, file=sio) #declare outputs for ipos, i in enumerate(node.outputs): - s = ", ".join(["float * o%i_data" % ipos] + list("int o%i_str_%i" % (ipos, d) for d in xrange(nd))) - print >> sio, "\t,", s + s = ", ".join(["float * o%i_data" % ipos] + list("int o%i_str_%i" % (ipos, d) for d in range(nd))) + print("\t,", s, file=sio) #print >> sio, "\t,", ", ".join("int o%i_str_%i" % (ipos, d) for d in xrange(nd)) #print >> sio, "\t,", "float * o%i_data" % ipos - print >> sio, "\t)\n{" + print("\t)\n{", file=sio) # For each input that is a scalar which has been broadcasted to a tensor, # load it into a local variable - print >> sio, " __shared__ float value0[%i];" % len(node.inputs) - print >> sio, " __shared__ int shared_dims[%(nd)s];" % locals() + print(" __shared__ float value0[%i];" % len(node.inputs), file=sio) + print(" __shared__ int shared_dims[%(nd)s];" % locals(), file=sio) #print >> sio, " __shared__ int shared_i_str[%(n_in)s][%(nd)s]" - print >> sio, " if ((threadIdx.x == 0) && (threadIdx.y == 0)) {" + print(" if ((threadIdx.x == 0) && (threadIdx.y == 0)) {", file=sio) for ipos, i in enumerate(node.inputs): if _logical_scalar(i): - print >> sio, " value0[%i] = i%i_data[0];" % (ipos, ipos) - for ipos in xrange(nd): - print >> sio, " shared_dims[%i] = dim%i;" % (ipos, ipos) - print >> sio, " }" - print >> sio, " __syncthreads();" + print(" value0[%i] = i%i_data[0];" % (ipos, ipos), file=sio) + for ipos in range(nd): + print(" shared_dims[%i] = dim%i;" % (ipos, ipos), file=sio) + print(" }", file=sio) + print(" __syncthreads();", file=sio) if (nd == 4): - print >> sio, """ + print(""" for (int pos0 = blockIdx.x; pos0 < shared_dims[0]; pos0 += gridDim.x) { for (int pos1 = blockIdx.y; pos1 < shared_dims[1]; pos1 += gridDim.y) @@ -235,21 +235,21 @@ //for (int pos3 = threadIdx.y; pos3 < shared_dims[3]; pos3 += blockDim.y) for (int pos3 = threadIdx.x; pos3 < shared_dims[3]; pos3 += blockDim.x) { - """ + """, file=sio) else: raise NotImplementedError() for ipos, i in enumerate(node.inputs): if not _logical_scalar(i): - print >> sio, " const float * ii_i%i_data = i%i_data;" % (ipos, ipos) + print(" const float * ii_i%i_data = i%i_data;" % (ipos, ipos), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, " float * ii_o%i_data = o%i_data;" % (ipos, ipos) - for d in xrange(nd): + print(" float * ii_o%i_data = o%i_data;" % (ipos, ipos), file=sio) + for d in range(nd): for ipos, i in enumerate(node.inputs): if not _logical_scalar(i): - print >> sio, " ii_i%i_data += pos%i * i%i_str_%i;" % (ipos, d, ipos, d) + print(" ii_i%i_data += pos%i * i%i_str_%i;" % (ipos, d, ipos, d), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, " ii_o%i_data += pos%i * o%i_str_%i;" % (ipos, d, ipos, d) + print(" ii_o%i_data += pos%i * o%i_str_%i;" % (ipos, d, ipos, d), file=sio) # perform the scalar operation on the input and output references #TODO: What if the scalar_op needs support_code?? @@ -261,9 +261,9 @@ , get_str_list_logical_scalar(node, value_str='value0[%i]') , ['ii_o%i_data[0]'%ipos for ipos, i in enumerate(node.outputs)] , sub=dict(fail='return;')) #TODO: set a failure code somehow!!! - print >> sio, " ", task_code - - print >> sio, " }" * nd + print(" ", task_code, file=sio) + + print(" }" * nd, file=sio) #TODO: insert runtime stride checks that select the best loop order either here, or in # the host code that launched the kernel (host code probably better spot) @@ -271,9 +271,9 @@ #indent = " "*(4*d+7) #for ipos, i in enumerate(node.inputs): #print >> sio, indent, "const float * i%i" % ipos, '= i%i_data', '' - print >> sio, "}" - - print sio.getvalue() + print("}", file=sio) + + print(sio.getvalue()) return sio.getvalue() def c_src_kernel_tiling_less_registers(self, node, nodename): @@ -289,26 +289,26 @@ # print some leading comments to make the code easier to read for ipos, i in enumerate(node.inputs): - print >> sio, "// Input ", ipos, str(i.type) + print("// Input ", ipos, str(i.type), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, "// Output ", ipos, str(i.type) - print >> sio, "static __global__ void kernel_%s_%s_%s(unsigned int numEls" %( + print("// Output ", ipos, str(i.type), file=sio) + print("static __global__ void kernel_%s_%s_%s(unsigned int numEls" %( self.scalar_op.__class__.__name__, nodename, - 'tiling%i_less_registers'%nd) + 'tiling%i_less_registers'%nd), file=sio) if (nd): - print >> sio, "\t,", ", ".join("const int dim%i" % i for i in xrange(nd)) + print("\t,", ", ".join("const int dim%i" % i for i in range(nd)), file=sio) #declare inputs for ipos, i in enumerate(node.inputs): - s = ", ".join(["const float * i%i_data_0" % ipos] + list("int i%i_str_%i" % (ipos, d) for d in xrange(nd))) - print >> sio, "\t,", s + s = ", ".join(["const float * i%i_data_0" % ipos] + list("int i%i_str_%i" % (ipos, d) for d in range(nd))) + print("\t,", s, file=sio) #declare outputs for ipos, i in enumerate(node.outputs): - s = ", ".join(["float * o%i_data_0" % ipos] + list("int o%i_str_%i" % (ipos, d) for d in xrange(nd))) - print >> sio, "\t,", s + s = ", ".join(["float * o%i_data_0" % ipos] + list("int o%i_str_%i" % (ipos, d) for d in range(nd))) + print("\t,", s, file=sio) #print >> sio, "\t,", ", ".join("int o%i_str_%i" % (ipos, d) for d in xrange(nd)) #print >> sio, "\t,", "float * o%i_data" % ipos - print >> sio, "\t)\n{" + print("\t)\n{", file=sio) # TODO: Setting these to true makes the function fail SOMETIMES. I don't know why yet. use_shared_stride = False @@ -316,7 +316,7 @@ def decl_limits(nd): if use_shared_limits: - print >> sio, "__shared__ float * limits[%(nd)s];" % locals() + print("__shared__ float * limits[%(nd)s];" % locals(), file=sio) def stride(io, p, d): if use_shared_stride: @@ -332,71 +332,71 @@ def decl_shared_stride(nin, nout, nd): if not use_shared_stride: return - print >> sio, """ + print(""" __shared__ int si_str[%(nin)s][%(nd)s]; __shared__ int so_str[%(nout)s][%(nd)s]; if ((threadIdx.x == 0) && (threadIdx.y == 0)) { - """ % locals() - for i in xrange(nin): - for d in xrange(nd): - print >> sio, "si_str[%(i)s][%(d)s] = i%(i)s_str_%(d)s;" %locals() - for i in xrange(n_out): - for d in xrange(nd): - print >> sio, "so_str[%(i)s][%(d)s] = o%(i)s_str_%(d)s;" %locals() - print >> sio, "} __syncthreads();" + """ % locals(), file=sio) + for i in range(nin): + for d in range(nd): + print("si_str[%(i)s][%(d)s] = i%(i)s_str_%(d)s;" %locals(), file=sio) + for i in range(n_out): + for d in range(nd): + print("so_str[%(i)s][%(d)s] = o%(i)s_str_%(d)s;" %locals(), file=sio) + print("} __syncthreads();", file=sio) def calc_limit(d): s = stride('o', 0, d) lname = limits(d) if use_shared_limits: - print >> sio, "if ((threadIdx.x == 0) && (threadIdx.y == 0)) {" + print("if ((threadIdx.x == 0) && (threadIdx.y == 0)) {", file=sio) if d == 0: - print >> sio, "%(lname)s = o0_data_0 + dim%(d)s * %(s)s;" % locals() + print("%(lname)s = o0_data_0 + dim%(d)s * %(s)s;" % locals(), file=sio) else: dm1 = d - 1 - print >> sio, "%(lname)s = o0_data_%(dm1)s + dim%(d)s * %(s)s;" % locals() - print >> sio, "} __syncthreads();" + print("%(lname)s = o0_data_%(dm1)s + dim%(d)s * %(s)s;" % locals(), file=sio) + print("} __syncthreads();", file=sio) else: if d == 0: - print >> sio, "const float * %(lname)s = o0_data_0 + dim%(d)s * %(s)s;" % locals() + print("const float * %(lname)s = o0_data_0 + dim%(d)s * %(s)s;" % locals(), file=sio) else: dm1 = d - 1 - print >> sio, "const float * %(lname)s = o0_data_%(dm1)s + dim%(d)s * %(s)s;" % locals() + print("const float * %(lname)s = o0_data_%(dm1)s + dim%(d)s * %(s)s;" % locals(), file=sio) def decl_ptrs(d, offset): dm1 = d - 1 assert dm1 >= 0 - for i in xrange(n_in): + for i in range(n_in): s = stride('i', i, d) - print >> sio, "const float * i%(i)s_data_%(d)s = i%(i)s_data_%(dm1)s + %(offset)s * %(s)s;" %locals() - for i in xrange(n_out): + print("const float * i%(i)s_data_%(d)s = i%(i)s_data_%(dm1)s + %(offset)s * %(s)s;" %locals(), file=sio) + for i in range(n_out): s = stride('o', i, d) - print >> sio, "float * o%(i)s_data_%(d)s = o%(i)s_data_%(dm1)s + %(offset)s * %(s)s;" %locals() + print("float * o%(i)s_data_%(d)s = o%(i)s_data_%(dm1)s + %(offset)s * %(s)s;" %locals(), file=sio) def inc_ptrs(d, amt): - for i in xrange(n_in): + for i in range(n_in): s = stride('i', i, d) - print >> sio, "i%(i)s_data_%(d)s += %(amt)s * %(s)s;" %locals() - for i in xrange(n_out): + print("i%(i)s_data_%(d)s += %(amt)s * %(s)s;" %locals(), file=sio) + for i in range(n_out): s = stride('o', i, d) - print >> sio, "o%(i)s_data_%(d)s += %(amt)s * %(s)s;" %locals() + print("o%(i)s_data_%(d)s += %(amt)s * %(s)s;" %locals(), file=sio) def while_limit(d): lname = limits(d) - print >> sio, "while (o0_data_%(d)s < %(lname)s) { " % locals() + print("while (o0_data_%(d)s < %(lname)s) { " % locals(), file=sio) def end_while(d): - print >> sio, "}" + print("}", file=sio) def task_code(d): - print >> sio, self.scalar_op.c_code( + print(self.scalar_op.c_code( Apply(self.scalar_op, [scalar.Scalar(dtype = input.type.dtype)() for input in node.inputs], [scalar.Scalar(dtype = output.type.dtype)() for output in node.outputs]) , nodename + '_scalar_' , ['i%i_data_%i[0]'%(ipos,d) for ipos, i in enumerate(node.inputs)] , ['o%i_data_%i[0]'%(ipos,d) for ipos, i in enumerate(node.outputs)] - , sub=dict(fail='return;')) #TODO: set a failure code somehow!!! + , sub=dict(fail='return;')), file=sio) #TODO: set a failure code somehow!!! if nd == 4: decl_shared_stride(n_in, n_out, nd) @@ -427,8 +427,8 @@ inc_ptrs(0, 'gridDim.x') end_while(0) - print >> sio, "}" - print sio.getvalue() + print("}", file=sio) + print(sio.getvalue()) return sio.getvalue() def c_src_kernel_Ccontiguous(self, node, nodename): @@ -437,29 +437,29 @@ #print 'C_SRC_KERNEL', sio.getvalue() for ipos, i in enumerate(node.inputs): - print >> sio, "// Input ", ipos, str(i.type) + print("// Input ", ipos, str(i.type), file=sio) for ipos, i in enumerate(node.outputs): - print >> sio, "// Output ", ipos, str(i.type) - print >> sio, "static __global__ void kernel_%s_%s_Ccontiguous (unsigned int numEls" %(self.scalar_op.__class__.__name__,nodename) + print("// Output ", ipos, str(i.type), file=sio) + print("static __global__ void kernel_%s_%s_Ccontiguous (unsigned int numEls" %(self.scalar_op.__class__.__name__,nodename), file=sio) #declare inputs for ipos, i in enumerate(node.inputs): - print >> sio, "\t,", "const float * i%i_data" % ipos + print("\t,", "const float * i%i_data" % ipos, file=sio) #declare outputs for ipos, i in enumerate(node.outputs): - print >> sio, "\t,", "float * o%i_data" % ipos - print >> sio, "\t)\n{" - print >> sio, " const int idx = blockIdx.x * blockDim.x + threadIdx.x;" - print >> sio, " const int numThreads = blockDim.x * gridDim.x;" + print("\t,", "float * o%i_data" % ipos, file=sio) + print("\t)\n{", file=sio) + print(" const int idx = blockIdx.x * blockDim.x + threadIdx.x;", file=sio) + print(" const int numThreads = blockDim.x * gridDim.x;", file=sio) # For each input that is a scalar which has been broadcasted to a tensor, # load it into a local variable for ipos, i in enumerate(node.inputs): if _logical_scalar(i): - print >> sio, " const float ii_i%i_value = i%i_data[0];" % (ipos, ipos) + print(" const float ii_i%i_value = i%i_data[0];" % (ipos, ipos), file=sio) #loop over the elements to be treated by this kernel call - print >> sio, " for (int i = idx; i < numEls; i += numThreads) {" + print(" for (int i = idx; i < numEls; i += numThreads) {", file=sio) # perform the scalar operation on the input and output references #TODO: What if the scalar_op needs support_code?? task_code = self.scalar_op.c_code( @@ -471,9 +471,9 @@ , get_str_list_logical_scalar(node, data_str='i%i_data[i]') , ['o%i_data[i]'%ipos for ipos, i in enumerate(node.outputs)] , sub=dict(fail='return;')) #TODO: set a failure code somehow!!! - print >> sio, " ", task_code - print >> sio, " }" - print >> sio, "}" + print(" ", task_code, file=sio) + print(" }", file=sio) + print("}", file=sio) #print sio.getvalue() return sio.getvalue() @@ -504,22 +504,22 @@ d = dict() #input_params and output_params go into the function declaration/definition input_params = ", ".join("const float * i%i_data, const int * i%i_str"%(ipos, ipos) - for ipos in xrange(len(node.inputs))) + for ipos in range(len(node.inputs))) output_params = ", ".join("float * o%i_data, const int * o%i_str"%(ipos, ipos) - for ipos in xrange(len(node.outputs))) + for ipos in range(len(node.outputs))) #input_args and output_args go into the recursive call. input_args = ", ".join("i%i_data, i%i_str"%(ipos, ipos) - for ipos in xrange(len(node.inputs))) + for ipos in range(len(node.inputs))) output_args = ", ".join("o%i_data, o%i_str"%(ipos, ipos) - for ipos in xrange(len(node.outputs))) - - prod_dims = '*'.join(["dims[%i]"%di for di in xrange(nd)]+['1']) + for ipos in range(len(node.outputs))) + + prod_dims = '*'.join(["dims[%i]"%di for di in range(nd)]+['1']) scalar_op=self.scalar_op.__class__.__name__ sio = StringIO() - print >> sio, """ + print(""" static void can_collapse_%(nodename)s(int nd, const int * dims, const int * strides, int collapse[]) { //can we collapse dims[i] and dims[i-1] @@ -529,84 +529,84 @@ }else collapse[i]=0; } } - """ %locals() - print >> sio, """ + """ %locals(), file=sio) + print(""" static int callkernel_%(nodename)s(unsigned int numEls, const int d, const int * dims, %(input_params)s, %(output_params)s) { numEls = %(prod_dims)s; - """ %locals() + """ %locals(), file=sio) if self.verbose: - print >> sio, """ + print(""" std::cerr << "calling kernel_%(scalar_op)s_%(nodename)s w numEls" << numEls << " dims"<< d << "\\n"; - """ %locals() - print >> sio, 'std::cerr << ' + " << ' ' << ".join(['" "']+list("dims[%i]"%di - for di in xrange(nd)) + ["'\\n';"]) + """ %locals(), file=sio) + print('std::cerr << ' + " << ' ' << ".join(['" "']+list("dims[%i]"%di + for di in range(nd)) + ["'\\n';"]), file=sio) if self.verbose>1: - for ipos in xrange(len(node.inputs)): - print >> sio, """ + for ipos in range(len(node.inputs)): + print(""" std::cerr << " %(ipos)s data strides" << """ %locals() + " << ' ' << ".join(["i%s_data"%ipos] - + list("i%s_str[%i]"%(ipos, di) for di in xrange(nd))) + ''' << "\\n"; ''' - - for ipos in xrange(len(node.outputs)): - print >> sio, """ + + list("i%s_str[%i]"%(ipos, di) for di in range(nd))) + ''' << "\\n"; ''', file=sio) + + for ipos in range(len(node.outputs)): + print(""" std::cerr << " %(ipos)s data strides" << """ %locals() + " << ' ' << ".join(["o%s_data"%ipos] - + list("o%s_str[%i]"%(ipos, di) for di in xrange(nd))) + ''' << "\\n"; ''' + + list("o%s_str[%i]"%(ipos, di) for di in range(nd))) + ''' << "\\n"; ''', file=sio) # collapse dimension that are broadcast in all inputs. # need to be done before contiguous collapse as it will break it. # do the dimensions and the strides if nd > 0: - print >> sio, "int local_dims[%(nd)s];" % locals() + print("int local_dims[%(nd)s];" % locals(), file=sio) else: - print >> sio, "int *local_dims=NULL;" + print("int *local_dims=NULL;", file=sio) if nb_inputs > 0 and nd > 0: - print >> sio, """ + print(""" int local_str[%(nb_inputs)s][%(nd)s]; int local_ostr[%(nb_outputs)s][%(nd)s]; - """ % locals() + """ % locals(), file=sio) else: - print >> sio, """ + print(""" int local_str[1][1]; int local_ostr[1][1]; - """ - print >> sio, """ + """, file=sio) + print(""" int nd_collapse = %(nd)s; for(int i=0;i<%(nd)s;i++){//init new dim local_dims[i]=dims[i]; } - """ % locals() - for ipos in xrange(len(node.inputs)): - print >> sio, """ + """ % locals(), file=sio) + for ipos in range(len(node.inputs)): + print(""" for(int i=0;i<%(nd)s;i++){//init new strides local_str[%(ipos)s][i]=i%(ipos)s_str[i]; } - """ % locals() - for ipos in xrange(len(node.outputs)): - print >> sio, """ + """ % locals(), file=sio) + for ipos in range(len(node.outputs)): + print(""" for(int i=0;i<%(nd)s;i++){//init new strides local_ostr[%(ipos)s][i]=o%(ipos)s_str[i]; } - """ % locals() + """ % locals(), file=sio) if self.verbose>2: - print >>sio, 'std::cerr <<"before broadcast collapse\\n";' - print >>sio, 'std::cerr<< "nd_collapse "<< nd_collapse << "\\n"; ' - print >> sio, 'std::cerr << "local_dims";' - for d in xrange(nd): - print >> sio, 'std::cerr << " " << local_dims[%(d)s]; ' % locals() - print >> sio, 'std::cerr << "\\n";' - - for ipos in xrange(len(node.inputs)): - print >> sio, 'std::cerr << " local_str inputs %(ipos)s: " <<'%locals() + \ - ' << " " << '.join(["local_str[%s][%s]"% (ipos, x) for x in xrange(nd)])+'<<"\\n";' - for ipos in xrange(len(node.outputs)): - print >> sio, 'std::cerr << " local_ostr inputs %(ipos)s: " <<'%locals() + \ - ' << " " << '.join(["local_ostr[%s][%s]"% (ipos, x) for x in xrange(nd)])+'<<"\\n";' - - print >> sio, """ + print('std::cerr <<"before broadcast collapse\\n";', file=sio) + print('std::cerr<< "nd_collapse "<< nd_collapse << "\\n"; ', file=sio) + print('std::cerr << "local_dims";', file=sio) + for d in range(nd): + print('std::cerr << " " << local_dims[%(d)s]; ' % locals(), file=sio) + print('std::cerr << "\\n";', file=sio) + + for ipos in range(len(node.inputs)): + print('std::cerr << " local_str inputs %(ipos)s: " <<'%locals() + \ + ' << " " << '.join(["local_str[%s][%s]"% (ipos, x) for x in range(nd)])+'<<"\\n";', file=sio) + for ipos in range(len(node.outputs)): + print('std::cerr << " local_ostr inputs %(ipos)s: " <<'%locals() + \ + ' << " " << '.join(["local_ostr[%s][%s]"% (ipos, x) for x in range(nd)])+'<<"\\n";', file=sio) + + print(""" for(int id=0;id2: - print >>sio, 'std::cerr <<"after broadcast collapse\\n";' - print >>sio, 'std::cerr<< "nd_collapse "<< nd_collapse << "\\n"; ' - print >> sio, 'std::cerr << "local_dims";' - for d in xrange(nd): - print >> sio, 'std::cerr << " " << local_dims[%(d)s]; '%locals() - print >> sio, 'std::cerr << "\\n";' - - for ipos in xrange(len(node.inputs)): - print >> sio, 'std::cerr << " local_str %(ipos)s: " <<'%locals()+' << " " << '.join(["local_str[%s][%s]"% (ipos, x) for x in xrange(nd)])+'<<"\\n";' - for ipos in xrange(len(node.outputs)): - print >> sio, 'std::cerr << " local_ostr %(ipos)s: " <<'%locals()+' << " " << '.join(["local_ostr[%s][%s]"% (ipos, x) for x in xrange(nd)])+'<<"\\n";' + print('std::cerr <<"after broadcast collapse\\n";', file=sio) + print('std::cerr<< "nd_collapse "<< nd_collapse << "\\n"; ', file=sio) + print('std::cerr << "local_dims";', file=sio) + for d in range(nd): + print('std::cerr << " " << local_dims[%(d)s]; '%locals(), file=sio) + print('std::cerr << "\\n";', file=sio) + + for ipos in range(len(node.inputs)): + print('std::cerr << " local_str %(ipos)s: " <<'%locals()+' << " " << '.join(["local_str[%s][%s]"% (ipos, x) for x in range(nd)])+'<<"\\n";', file=sio) + for ipos in range(len(node.outputs)): + print('std::cerr << " local_ostr %(ipos)s: " <<'%locals()+' << " " << '.join(["local_ostr[%s][%s]"% (ipos, x) for x in range(nd)])+'<<"\\n";', file=sio) # collapse contiguous dimensions (ignoring scalars, generic version(collapse any dimensions, right, left, middle)) # this is a good idea because we make less index calculation in the gpu. if nd > 0: - print >> sio, "int nd_collapse_[%(nd)s] = {"%locals() +','.join(['1' for x in xrange(nd)]) +"};" + print("int nd_collapse_[%(nd)s] = {"%locals() +','.join(['1' for x in range(nd)]) +"};", file=sio) else: - print >> sio, "int *nd_collapse_ = NULL;" - for ipos in xrange(len(node.inputs)): + print("int *nd_collapse_ = NULL;", file=sio) + for ipos in range(len(node.inputs)): if not _logical_scalar(node.inputs[ipos]): if nd > 0: - print >> sio, """ - int nd_collapse_%(ipos)s[%(nd)s] = {"""%locals() +','.join(['1' for x in xrange(nd)]) +"};" + print(""" + int nd_collapse_%(ipos)s[%(nd)s] = {"""%locals() +','.join(['1' for x in range(nd)]) +"};", file=sio) else: - print >> sio, """ - int *nd_collapse_%(ipos)s = NULL;"""%locals() - print >> sio, """ + print(""" + int *nd_collapse_%(ipos)s = NULL;"""%locals(), file=sio) + print(""" can_collapse_%(nodename)s(nd_collapse, local_dims, local_str[%(ipos)s], nd_collapse_%(ipos)s); for(int i=0;i1: - print >>sio, """ + print(""" std::cerr<< "nd_collapse_%(ipos)s "<< - """%locals() - print >>sio, ' << " " << '.join(["nd_collapse_%s[" % ipos +str(i)+"]" for i in xrange(nd)]) - print >>sio, '<< "\\n";' + """%locals(), file=sio) + print(' << " " << '.join(["nd_collapse_%s[" % ipos +str(i)+"]" for i in range(nd)]), file=sio) + print('<< "\\n";', file=sio) # update the local stride. - for ipos in xrange(len(node.inputs)): - print >> sio, """ + for ipos in range(len(node.inputs)): + print(""" for(int i=nd_collapse-1;i>0;i--){ if(nd_collapse_[i]==1){ local_str[%(ipos)s][i-1]=local_str[%(ipos)s][i];//set new strides @@ -685,11 +685,11 @@ local_str[%(ipos)s][j-1]=local_str[%(ipos)s][j]; } } - """%locals() - - - for ipos in xrange(len(node.outputs)): - print >> sio, """ + """%locals(), file=sio) + + + for ipos in range(len(node.outputs)): + print(""" for(int i=nd_collapse-1;i>0;i--){ if(nd_collapse_[i]==1){ local_ostr[%(ipos)s][i-1]=local_ostr[%(ipos)s][i];//set new strides @@ -697,10 +697,10 @@ local_ostr[%(ipos)s][j-1]=local_ostr[%(ipos)s][j]; } } - """%locals() + """%locals(), file=sio) # update the local dims. - print >> sio, """ + print(""" for(int i=nd_collapse-1;i>0;i--){ if(nd_collapse_[i]==1){ local_dims[i-1]*=local_dims[i];//set new dims @@ -708,45 +708,45 @@ local_dims[j-1]=local_dims[j]; } } - """%locals() + """%locals(), file=sio) #update the new number of dim - print >> sio, """ + print(""" for(int i=1, end=nd_collapse;i0: - print >> sio," && "," && ".join(l) - print >> sio,"""){nd_collapse=0;} """ + print(" && "," && ".join(l), file=sio) + print("""){nd_collapse=0;} """, file=sio) if self.verbose: - print >> sio, 'std::cerr <<"after can_collapse\\n";' - print >> sio, """std::cerr << "nd_collapse " << nd_collapse << "\\n"; """ %locals() + print('std::cerr <<"after can_collapse\\n";', file=sio) + print("""std::cerr << "nd_collapse " << nd_collapse << "\\n"; """ %locals(), file=sio) if self.verbose>1: - for d in xrange(nd): - print >> sio, 'std::cerr << " " << local_dims[%(d)s]; '%locals() - print >> sio, 'std::cerr << "\\n";' - - for ipos in xrange(len(node.inputs)): - print >> sio, 'std::cerr << " local_str %(ipos)s: " <<'%locals()+' << " " << '.join(["local_str[%s][%s]"%(ipos, x) for x in xrange(nd)])+'<<"\\n";' - for ipos in xrange(len(node.outputs)): - print >> sio, 'std::cerr << " local_ostr %(ipos)s: " <<'%locals()+' << " " << '.join(["local_ostr[%s][%s]"%(ipos, x) for x in xrange(nd)])+'<<"\\n";' + for d in range(nd): + print('std::cerr << " " << local_dims[%(d)s]; '%locals(), file=sio) + print('std::cerr << "\\n";', file=sio) + + for ipos in range(len(node.inputs)): + print('std::cerr << " local_str %(ipos)s: " <<'%locals()+' << " " << '.join(["local_str[%s][%s]"%(ipos, x) for x in range(nd)])+'<<"\\n";', file=sio) + for ipos in range(len(node.outputs)): + print('std::cerr << " local_ostr %(ipos)s: " <<'%locals()+' << " " << '.join(["local_ostr[%s][%s]"%(ipos, x) for x in range(nd)])+'<<"\\n";', file=sio) def launch_Ccontiguous(nodename, scalar_op, sync=True): kernel_call_args = ["numEls"] - for ipos in xrange(len(node.inputs)): + for ipos in range(len(node.inputs)): kernel_call_args.append("i%i_data"%ipos) - for ipos in xrange(len(node.outputs)): + for ipos in range(len(node.outputs)): kernel_call_args.append("o%i_data"%ipos) kernel_call_args = ", ".join(kernel_call_args) verb="" if self.verbose: verb='std::cerr << " Running ccontiguous version\\n";' - print >> sio, """ + print(""" //first use at least a full warp int threads_per_block = std::min(numEls, (unsigned int)32); //WARP SIZE @@ -759,9 +759,9 @@ kernel_%(scalar_op)s_%(nodename)s_Ccontiguous<<>>(%(kernel_call_args)s); //std::cerr << "calling callkernel returned\\n"; - """ %locals() + """ %locals(), file=sio) if sync: - print >> sio, """ + print(""" CNDA_THREAD_SYNC; cudaError_t err = cudaGetLastError(); if( cudaSuccess != err) @@ -775,33 +775,33 @@ } %(verb)s return 0; - """ %locals() + """ %locals(), file=sio) else: - print >> sio, " return 0; " %locals() + print(" return 0; " %locals(), file=sio) def launch_General(nodename, scalar_op, force_nd, sync=True): # kernel_call_args are used to invoke the cuda kernel local="local_" kernel_call_args = ["numEls"] - kernel_call_args.extend(local+"dims[%i]"%di for di in xrange(force_nd)) - for ipos in xrange(len(node.inputs)): - kernel_call_args+=["i%i_data"%ipos] + list(local+"str[%i][%i]"%(ipos, di) for di in xrange(force_nd)) + kernel_call_args.extend(local+"dims[%i]"%di for di in range(force_nd)) + for ipos in range(len(node.inputs)): + kernel_call_args+=["i%i_data"%ipos] + list(local+"str[%i][%i]"%(ipos, di) for di in range(force_nd)) #strides = ", ".join("i%i_str[%i]"%(ipos, di) for di in xrange(force_nd)) #kernel_call_args.append( "%s, i%i_data" % (strides, ipos)) - for ipos in xrange(len(node.outputs)): - kernel_call_args+=["o%i_data"%ipos] + list(local+"ostr[%i][%i]"%(ipos, di) for di in xrange(force_nd)) + for ipos in range(len(node.outputs)): + kernel_call_args+=["o%i_data"%ipos] + list(local+"ostr[%i][%i]"%(ipos, di) for di in range(force_nd)) #strides = ", ".join("o%i_str[%i]"%(ipos, di) for di in xrange(force_nd)) #kernel_call_args.append( "%s, o%i_data" % (strides, ipos)) if self.verbose: - print >> sio, """ + print(""" std::cerr << " Running general version with %(force_nd)s dims\\n"; - """%locals() - print >> sio, "std::cerr << "+ ' << " " << '.join(kernel_call_args)+' << "\\n";' + """%locals(), file=sio) + print("std::cerr << "+ ' << " " << '.join(kernel_call_args)+' << "\\n";', file=sio) #std::cerr << numEls << dims[0] << i0_data, i0_str[0] << o0_data, o0_str[0]\n; kernel_call_args = ", ".join(kernel_call_args) - print >> sio, """ + print(""" //first use at least a full warp int threads_per_block = std::min(numEls, (unsigned int)32); //WARP SIZE @@ -813,9 +813,9 @@ threads_per_block = std::min(numEls/n_blocks, (unsigned int)NUM_VECTOR_OP_THREADS_PER_BLOCK); kernel_%(scalar_op)s_%(nodename)s_%(force_nd)s<<>>(%(kernel_call_args)s); - """ %locals() + """ %locals(), file=sio) if sync: - print >> sio, """ + print(""" CNDA_THREAD_SYNC; cudaError_t err = cudaGetLastError(); if( cudaSuccess != err) @@ -828,22 +828,22 @@ } return 0; - """ %locals() + """ %locals(), file=sio) else: - print >> sio, " return 0; " %locals() - print >> sio, "if(numEls==0) return 0;" - print >> sio, "switch (nd_collapse==0?0:min(%(nd)s,nd_collapse)) {"%locals() - print >> sio, "case 0: {" + print(" return 0; " %locals(), file=sio) + print("if(numEls==0) return 0;", file=sio) + print("switch (nd_collapse==0?0:min(%(nd)s,nd_collapse)) {"%locals(), file=sio) + print("case 0: {", file=sio) launch_Ccontiguous(nodename, scalar_op, self.sync) - print >> sio, " } break;" - for i in xrange(1, nd+1): - print >> sio, "case "+str(i)+": {" + print(" } break;", file=sio) + for i in range(1, nd+1): + print("case "+str(i)+": {", file=sio) launch_General(nodename, scalar_op, i, self.sync) - print >> sio, " } break;" - - print >> sio, "}"#end case - print >> sio, "return -2;" # should not get to this point - print >> sio, "}"#end fct + print(" } break;", file=sio) + + print("}", file=sio)#end case + print("return -2;", file=sio) # should not get to this point + print("}", file=sio)#end fct #N.B. cudaGetLastError is called by c_code return sio.getvalue() @@ -855,7 +855,7 @@ #define INTMOD_POW2(a, b) (a & ((1<> sio, """ + print(""" //std::cerr << "C_CODE %(opname)s START\\n"; //standard elemwise size checks - """ % locals() + """ % locals(), file=sio) if nd > 0: - print >> sio, """ + print(""" int dims[%(nd)s] = {%(initial_dims)s}; - """ % locals() + """ % locals(), file=sio) else: - print >> sio, """ + print(""" int *dims = NULL; - """ + """, file=sio) #check that all inputs have valid dimensions emitted_inames = {} @@ -896,17 +896,17 @@ # with python 2.4 (at least), if a broadcastable pattern is made of # numpy.bool_ instead of bool, calling int() once is not enough. - broadcasts = map(int, map(int, node.inputs[id].broadcastable)) + broadcasts = list(map(int, list(map(int, node.inputs[id].broadcastable)))) broadcasts = ', '.join(map(str, broadcasts)) nd = node.inputs[id].ndim if nd > 0: - print >> sio, """ + print(""" int broadcasts_%(iname)s[%(nd)s] = {%(broadcasts)s}; - """ % locals() + """ % locals(), file=sio) else: - print >> sio, """ + print(""" int *broadcasts_%(iname)s = NULL; - """ % locals() + """ % locals(), file=sio) emitted_inames[iname] = node.inputs[id] #check that all inputs have valid dimensions @@ -914,7 +914,7 @@ for id, iname in enumerate(inputs): if iname in emitted_inames: continue - print >> sio, """ + print(""" //std::cerr << "C_CODE %(opname)s checking input %(iname)s\\n"; if (%(nd)s != %(iname)s->nd) { @@ -941,13 +941,13 @@ %(fail)s; } } - """ % locals() + """ % locals(), file=sio) emitted_inames[iname] = True #check that all outputs have valid dimensions for idx, oname in enumerate(outputs): - if idx not in self.inplace_pattern.keys(): - print >> sio, """ + if idx not in list(self.inplace_pattern.keys()): + print(""" for (int i = 0; (i< %(nd)s) && (%(oname)s); ++RefactoringTool: Refactored ./theano/sandbox/cuda/blas.py RefactoringTool: Refactored ./theano/sandbox/cuda/basic_ops.py i) { if (dims[i] != CudaNdarray_HOST_DIMS(%(oname)s)[i]) { @@ -978,11 +978,11 @@ } //std::cerr << "ELEMWISE NEW %(oname)s nd" << %(oname)s->nd << "\\n"; //std::cerr << "ELEMWISE NEW %(oname)s data" << %(oname)s->devdata << "\\n"; - """ % locals() + """ % locals(), file=sio) else: input_idx = self.inplace_pattern[idx] iname = inputs[input_idx] - print >> sio, """ + print(""" Py_XDECREF(%(oname)s); %(oname)s = %(iname)s; Py_INCREF(%(oname)s); @@ -1005,33 +1005,33 @@ } //std::cerr << "ELEMWISE NEW %(oname)s nd" << %(oname)s->nd << "\\n"; //std::cerr << "ELEMWISE NEW %(oname)s data" << %(oname)s->devdata << "\\n"; - """ % locals() - - print >> sio, """ + """ % locals(), file=sio) + + print(""" { //new block so that failure gotos don't skip over variable initialization //std::cerr << "calling callkernel\\n"; if (callkernel_%(nodename)s(1, 0, dims - """ % locals() + """ % locals(), file=sio) for iname in inputs: - print >> sio, """ + print(""" , CudaNdarray_DEV_DATA(%(iname)s), CudaNdarray_HOST_STRIDES(%(iname)s) - """ % locals() + """ % locals(), file=sio) for oname in outputs: - print >> sio, """ + print(""" , CudaNdarray_DEV_DATA(%(oname)s), CudaNdarray_HOST_STRIDES(%(oname)s) - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" )) { // error - """ + """, file=sio) for oname in outputs: - print >> sio, """ + print(""" Py_DECREF(%(oname)s); %(oname)s = NULL; - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" %(fail)s; } else // no error @@ -1039,7 +1039,7 @@ } } //std::cerr << "C_CODE %(opname)s END\\n"; - """ % locals() + """ % locals(), file=sio) #print sio.getvalue() return sio.getvalue() --- ./theano/sandbox/cuda/blas.py (original) +++ ./theano/sandbox/cuda/blas.py (refactored) @@ -7,6 +7,7 @@ from theano.compat.six import StringIO from theano.sandbox.cuda.type import CudaNdarrayType from theano.sandbox.cuda import GpuOp +from functools import reduce class GpuDot22(GpuOp): @@ -228,7 +229,7 @@ fail = sub['fail'] sio = StringIO() - print >> sio, """ + print(""" #define REAL float float %(name)s_a = (PyArray_TYPE(%(a)s) == NPY_FLOAT) @@ -288,7 +289,7 @@ { %(fail)s; } - """ + """, file=sio) return sio.getvalue() % locals() gpu_gemm_no_inplace = GpuGemm(inplace=False) @@ -343,7 +344,7 @@ fail = sub['fail'] sio = StringIO() - print >> sio, """ + print(""" float %(name)s_alpha = ((dtype_%(a)s*)(%(a)s->data))[0]; float %(name)s_beta = ((dtype_%(b)s*)(%(b)s->data))[0]; @@ -386,7 +387,7 @@ { %(fail)s; } - """ + """, file=sio) return sio.getvalue() % locals() gpu_gemv_no_inplace = GpuGemv(inplace=False) gpu_gemv_inplace = GpuGemv(inplace=True) @@ -440,7 +441,7 @@ fail = sub['fail'] sio = StringIO() - print >> sio, """ + print(""" float %(name)s_alpha = ((dtype_%(a)s*)(%(a)s->data))[0]; if (%(inplace)s @@ -491,7 +492,7 @@ { %(fail)s; } - """ + """, file=sio) return sio.getvalue() % locals() gpu_ger_no_inplace = GpuGer(inplace=False) gpu_ger_inplace = GpuGer(inplace=True) --- ./theano/sandbox/cuda/basic_ops.py (original) +++ ./theano/sandbox/cuda/basic_ops.py (refactored) @@ -189,7 +189,7 @@ self.scalar_op = scalar_op self.inplace_pattern = inplace_pattern - self.destroy_map = dict((o, [i]) for o, i in inplace_pattern.items()) + self.destroy_map = dict((o, [i]) for o, i in list(inplace_pattern.items())) self.sync = sync @@ -217,7 +217,7 @@ self.sync == other.sync) def _rehash(self): - items = self.inplace_pattern.items() + items = list(self.inplace_pattern.items()) items.sort() tuple_items = [k for k, v in items] for k, v in items: @@ -237,7 +237,7 @@ def __str__(self): if self.inplace_pattern: - items = self.inplace_pattern.items() + items = list(self.inplace_pattern.items()) items.sort() # We need to print the scalar_op, not only the its class name # to have the full definition of composite op. @@ -258,7 +258,7 @@ # output is broadcastable only along dimensions where all # inputs are broadcastable broadcastable = [] - for d in xrange(_inputs[0].type.ndim): + for d in range(_inputs[0].type.ndim): bcast_d = True for i in _inputs: if not i.type.broadcastable[d]: @@ -269,7 +269,7 @@ otype = CudaNdarrayType(broadcastable=broadcastable) assert self.nout > 0 - return Apply(self, _inputs, [otype() for o in xrange(self.nout)]) + return Apply(self, _inputs, [otype() for o in range(self.nout)]) def c_support_code(self, *args, **kwargs): return self.src_generator.c_support_code(*args, **kwargs) @@ -389,17 +389,17 @@ fail = sub['fail'] #check input - print >> sio, """ + print(""" if (%(input)s->nd != %(nd_in)s) { PyErr_Format(PyExc_TypeError, "required nd=%(nd_in)s, got nd=%%i", %(input)s->nd); %(fail)s; } - """ % locals() + """ % locals(), file=sio) #alloc an output - print >> sio, """ + print(""" if (%(res)s && (%(res)s->nd == %(nd_out)s)) { //re-use previously-allocated cnda @@ -424,9 +424,9 @@ } } } - """ % locals() - - print >> sio, """ + """ % locals(), file=sio) + + print(""" if (CudaNdarray_set_device_data(%(res)s, CudaNdarray_DEV_DATA(%(input)s), %(input)s)) @@ -436,7 +436,7 @@ %(res)s = NULL; %(fail)s; } - """ % locals() + """ % locals(), file=sio) #reassign the dimension and strides in the host pointers for i, o in enumerate(self.new_order): @@ -445,26 +445,26 @@ # the correct thing to do is to insert a run-time check # that the size in this dimension is 1 assert node.outputs[0].type.broadcastable[i] - print >> sio, """ + print(""" CudaNdarray_set_dim(%(res)s, %(i)s, 1); CudaNdarray_set_stride(%(res)s, %(i)s, 0); - """ % locals() + """ % locals(), file=sio) else: - print >> sio, """ + print(""" CudaNdarray_set_dim(%(res)s, %(i)s, CudaNdarray_HOST_DIMS(%(input)s)[%(o)s]); CudaNdarray_set_stride(%(res)s, %(i)s, CudaNdarray_HOST_STRIDES(%(input)s)[%(o)s]); - """ % locals() + """ % locals(), file=sio) for i, o in enumerate(self.new_order): - print >> sio, """ + print(""" //std::cerr << "GpuDimShuffle " << %(res)s << " str[%(i)s] = " << %(res)s->str[%(i)s] << "\\n"; - """ % locals() + """ % locals(), file=sio) # copy the host dims and stride -> device if 0: - print >> sio, """ + print(""" if (CudaNdarray_copy_structure_to_device(%(res)s)) { //err msg set @@ -472,21 +472,21 @@ %(res)s = NULL; %(fail)s; } - """ % locals() + """ % locals(), file=sio) if 0: # print full code to stdout - print '--------------------------------------' - print 'C_CODE' - print '' - print self - print "IN BROAD", self.input_broadcastable - print "NEW ORDER", self.new_order - print "SHUFFLE", self.shuffle - print "AUGMENT", self.augment - print '------------' - print '' - print sio.getvalue() - print '--------------------------------------' + print('--------------------------------------') + print('C_CODE') + print('') + print(self) + print("IN BROAD", self.input_broadcastable) + print("NEW ORDER", self.new_order) + print("SHUFFLE", self.shuffle) + print("AUGMENT", self.augment) + print('------------') + print('') + print(sio.getvalue()) + print('--------------------------------------') if 0: sys.exit() @@ -557,7 +557,7 @@ if (x.type.ndim != len(self.reduce_mask)): raise TypeError("x must have rank %i" % len(self.reduce_mask)) o_broadcast = [x.type.broadcastable[i] for i - in xrange(x.type.ndim) if not self.reduce_mask[i]] + in range(x.type.ndim) if not self.reduce_mask[i]] return Apply(self, [x], [CudaNdarrayType(o_broadcast)()]) """ @@ -597,8 +597,8 @@ name = 'fake_name' - inp = ['fake_input_name_%d' % i for i in xrange(len(inputs))] - out = ['fake_output_name_%d' % i for i in xrange(len(node.outputs))] + inp = ['fake_input_name_%d' % i for i in range(len(inputs))] + out = ['fake_output_name_%d' % i for i in range(len(node.outputs))] sub = {'fail': 'fake failure code'} @@ -622,65 +622,65 @@ fail = sub['fail'] #check input - print >> sio, """ + print(""" if (%(x)s->nd != %(nd_in)s) { PyErr_Format(PyExc_TypeError, "required nd=%(nd_in)s, got nd=%%i", %(x)s->nd); %(fail)s; } - """ % locals() + """ % locals(), file=sio) # It might be nice to use a property of the op class to do this, # but tensor.elemwise.CAReduce has this exact same check so I guess # this is OK to do if self.scalar_op in [scal.minimum, scal.maximum]: conds = ["(CudaNdarray_HOST_DIMS(%s)[%d] == 0)" % (x, i) - for i in xrange(nd_in) + for i in range(nd_in) if self.reduce_mask[i]] assert len(conds) > 0 cond = "(" + " || ".join(conds) + ")" - print >> sio, """ + print(""" if %(cond)s { PyErr_Format(PyExc_ValueError," tried to reduce a 0-length axis."); %(fail)s; } - """ %locals() + """ %locals(), file=sio) # # alloc an output if we need one # # check the basics of out output - print >> sio, """ + print(""" if ( !%(z)s || (%(z)s->nd != %(nd_out)s) - """ % locals() + """ % locals(), file=sio) #ensure that the output has the right non-reduced dimensions j = 0 - for i in xrange(nd_in): + for i in range(nd_in): if not self.reduce_mask[i]: - print >> sio, " || (CudaNdarray_HOST_DIMS(%(z)s)[%(j)s] != CudaNdarray_HOST_DIMS(%(x)s)[%(i)d]) " % locals() + print(" || (CudaNdarray_HOST_DIMS(%(z)s)[%(j)s] != CudaNdarray_HOST_DIMS(%(x)s)[%(i)d]) " % locals(), file=sio) j += 1 - print >> sio, """ + print(""" ) { - """ % locals() + """ % locals(), file=sio) if nd_out > 0: - print >> sio, "int new_dims[%(nd_out)s]; " % locals() + print("int new_dims[%(nd_out)s]; " % locals(), file=sio) else: - print >> sio, "int *new_dims=NULL; " + print("int *new_dims=NULL; ", file=sio) j = 0 - for i in xrange(nd_in): + for i in range(nd_in): if not self.reduce_mask[i]: - print >> sio, 'new_dims[%(j)s] = CudaNdarray_HOST_DIMS(%(x)s)[%(i)s];' % locals() + print('new_dims[%(j)s] = CudaNdarray_HOST_DIMS(%(x)s)[%(i)s];' % locals(), file=sio) j += 1 - print >> sio, """ + print(""" Py_XDECREF(%(z)s); %(z)s = (CudaNdarray*) CudaNdarray_NewDims(%(nd_out)s, new_dims); if (NULL == %(z)s) @@ -689,7 +689,7 @@ %(fail)s; } } - """ % locals() + """ % locals(), file=sio) # \begin bracket the reduction in a check that there is # actually work to do @@ -702,13 +702,13 @@ "GpuCAReduce not implemented when input shape is 0 for this scalar_op"); %(fail)s; """ % locals() - print >> sio, """ + print(""" if (CudaNdarray_SIZE(%(z)s) && ! CudaNdarray_SIZE(%(x)s)){ %(zero_shp)s; } else if (CudaNdarray_SIZE(%(z)s)) { - """ % locals() + """ % locals(), file=sio) # # Now perform the reduction @@ -718,20 +718,20 @@ #check if the tensor is ccontiguous, if true, use the c_code_reduce_ccontig code. #TODO: check if we are ccontiguous when we un-dimshuffle #TODO: if only some dims are ccontiguous, call version with less dims. - print >> sio, 'if(CudaNdarray_is_c_contiguous(%(x)s)){'%locals() + print('if(CudaNdarray_is_c_contiguous(%(x)s)){'%locals(), file=sio) self.c_code_reduce_ccontig(sio, node, name, x, z, fail) - print >> sio, "}else{" + print("}else{", file=sio) getattr(self, 'c_code_reduce_%s'%(''.join( str(i) for i in self.reduce_mask)))(sio, node, name, x, z, fail) - print >> sio, "}" + print("}", file=sio) else: getattr(self, 'c_code_reduce_%s'%(''.join( str(i) for i in self.reduce_mask)))(sio, node, name, x, z, fail) # \end bracket the reduction ... - print >> sio, """ - } - """ % locals() + print(""" + } + """ % locals(), file=sio) return sio.getvalue() @@ -771,7 +771,7 @@ shapes_data = ",".join(["CudaNdarray_HOST_DIMS(%s)[%d]" % (x, i) for i in range(node.inputs[0].ndim)]) - print >> sio, """ + print(""" if (verbose) printf("running kernel_reduce_%(pattern)s_%(name)s\\n"); int n_shared = sizeof(float) * n_threads.x * n_threads.y * n_threads.z; @@ -784,27 +784,27 @@ n_blocks.x,n_blocks.y, n_blocks.x*n_blocks.y, n_shared, %(shapes_data)s); kernel_reduce_%(pattern)s_%(name)s<<>>( - """ % locals() - for i in xrange(ndim): - print >> sio, """ + """ % locals(), file=sio) + for i in range(ndim): + print(""" CudaNdarray_HOST_DIMS(%(x)s)[%(i)s], - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" CudaNdarray_DEV_DATA(%(x)s) - """ % locals() - for i in xrange(ndim): - print >> sio, """ + """ % locals(), file=sio) + for i in range(ndim): + print(""" ,CudaNdarray_HOST_STRIDES(%(x)s)[%(i)s] - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" ,CudaNdarray_DEV_DATA(%(z)s) - """ % locals() - for i in xrange(nd_out): - print >> sio, """ + """ % locals(), file=sio) + for i in range(nd_out): + print(""" ,CudaNdarray_HOST_STRIDES(%(z)s)[%(i)s] - """ % locals() - - print >> sio, """ + """ % locals(), file=sio) + + print(""" ); CNDA_THREAD_SYNC; cudaError_t sts = cudaGetLastError(); @@ -824,7 +824,7 @@ %(shapes_data)s); %(fail)s; } - """ % locals() + """ % locals(), file=sio) return sio.getvalue() def _k_decl(self, node, nodename, pattern=None, @@ -858,28 +858,28 @@ pattern = ''.join(str(i) for i in reduce_mask) sio = StringIO() - print >> sio, """ + print(""" static __global__ void kernel_reduce_%(pattern)s_%(nodename)s( - """ % locals() - for i in xrange(ndim): - print >> sio, """ + """ % locals(), file=sio) + for i in range(ndim): + print(""" const int d%(i)s, - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" const float *A, - """ % locals() - for i in xrange(ndim): - print >> sio, """ + """ % locals(), file=sio) + for i in range(ndim): + print(""" const int sA%(i)s, - """ % locals() - print >> sio, """ + """ % locals(), file=sio) + print(""" float * Z - """ % locals() - for i in xrange(ndim - sum(reduce_mask)): - print >> sio, """ + """ % locals(), file=sio) + for i in range(ndim - sum(reduce_mask)): + print(""" , const int sZ%(i)s - """ % locals() - print >> sio, ")" + """ % locals(), file=sio) + print(")", file=sio) return sio.getvalue() def _k_init(self, *args): @@ -1097,7 +1097,7 @@ %(fail)s; """ % locals() - print >> sio, """ + print(""" { if(CudaNdarray_SIZE(%(x)s)==0){ %(zero_shp)s; @@ -1133,11 +1133,11 @@ } } } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_1(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1146,11 +1146,11 @@ dim3 n_blocks(1); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_11(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1164,7 +1164,7 @@ dim3 n_blocks(1); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_01X(self, sio, node, name, x, z, fail, N): """ @@ -1176,9 +1176,9 @@ makecall = self._makecall(node, name, x, z, fail) N_pattern = ''.join(['1'] * N) param_dim = ",".join(["CudaNdarray_HOST_DIMS(%s)[%d]" % (x, i) - for i in xrange(N + 1)]) + for i in range(N + 1)]) strides_dim = ",".join(["CudaNdarray_HOST_STRIDES(%s)[%d]" - % (x, i) for i in xrange(N + 1)]) + % (x, i) for i in range(N + 1)]) threads_y = """ //get as many y threads as we can fit @@ -1207,7 +1207,7 @@ if len(self.reduce_mask) == 3: threads_z = '' - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1219,7 +1219,7 @@ NUM_VECTOR_OP_BLOCKS)); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_01(self, sio, node, name, x, z, fail): self.c_code_reduce_01X(sio, node, name, x, z, fail, 1) @@ -1231,7 +1231,7 @@ self.c_code_reduce_01X(sio, node, name, x, z, fail, 3) def c_code_reduce_10(self, sio, node, name, x, z, fail): - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1277,14 +1277,14 @@ %(fail)s; } } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_010(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) makecall_inner = self._makecall(node, name, x, z, fail, pattern="010_inner") pattern = ''.join(str(i) for i in self.reduce_mask) - print >> sio, """ + print(""" { //int n_summations = CudaNdarray_HOST_DIMS(%(x)s)[0] * CudaNdarray_HOST_DIMS(%(x)s)[2]; @@ -1399,11 +1399,11 @@ } } } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_0101(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1418,14 +1418,14 @@ dim3 n_blocks(CudaNdarray_HOST_DIMS(%(x)s)[0], CudaNdarray_HOST_DIMS(%(x)s)[2]); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_100(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) # use threadIdx.x for i0 # use blockIdx.x for i1 # use blockIdx.y for i2 - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1438,11 +1438,11 @@ } %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_110(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1459,11 +1459,11 @@ dim3 n_blocks(CudaNdarray_HOST_DIMS(%(x)s)[2]); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_001(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1481,11 +1481,11 @@ n_blocks.y -= 1; %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_111(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1513,11 +1513,11 @@ dim3 n_blocks(1,1,1); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_0011(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; @@ -1543,11 +1543,11 @@ %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_1111(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1578,11 +1578,11 @@ dim3 n_blocks(1,1,1); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_reduce_1011(self, sio, node, name, x, z, fail): makecall = self._makecall(node, name, x, z, fail) - print >> sio, """ + print(""" { int verbose = 0; dim3 n_threads( @@ -1602,7 +1602,7 @@ dim3 n_blocks(CudaNdarray_HOST_DIMS(%(x)s)[1]); %(makecall)s } - """ % locals() + """ % locals(), file=sio) def c_code_cache_version_apply(self, node): version = [8] # the version corresponding to the c code in this Op @@ -1630,7 +1630,7 @@ "A[i0]", {}) reduce_init = self._assign_init("A[0]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_ccontig_%(nodename)s( const unsigned int d0, const float *A, @@ -1652,7 +1652,7 @@ } %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (1,): #this kernel is ok for up to a few thousand elements, but # it only runs on ONE multiprocessor @@ -1661,7 +1661,7 @@ "A[i0 * sA0]", {}) reduce_init = self._assign_init("A[0]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_1_%(nodename)s( const unsigned int d0, const float *A, const int sA0, @@ -1683,7 +1683,7 @@ } %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (1, 1): #this kernel is ok for up to a few thousand elements, but # it only runs on ONE multiprocessor @@ -1693,7 +1693,7 @@ {}) reduce_init = self._assign_init("A[0]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_11_%(nodename)s( const int d0, const int d1, @@ -1719,7 +1719,7 @@ } %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) #01, 011, 0111 if (0 == self.reduce_mask[0] and all(self.reduce_mask[1:]) and @@ -1765,9 +1765,9 @@ reducebuf = self._k_reduce_buf('Z[i0 * sZ0]', node, nodename, sub={}) param_dim = ",".join(["const int d%d" % i - for i in xrange(nd_in)]) + for i in range(nd_in)]) param_strides = ",".join(["const int sA%d" % i - for i in xrange(nd_in)]) + for i in range(nd_in)]) decl = self._k_decl(node, nodename) init = self._k_init(node, nodename) reduce_init = self._assign_init("A[%(first_i3)s * %(sA3)s + %(first_i2)s * %(sA2)s + %(first_i1)s * %(sA1)s + i0 * sA0]" % locals()) @@ -1775,7 +1775,7 @@ node, nodename, "myresult", "A[i3 * sA3 + i2 * sA2 + i1 * sA1 + i0 * sA0]", {}) - print >> sio, """ + print(""" %(decl)s{ %(init)s for (int i0 = blockIdx.x; i0 < d0; i0 += gridDim.x){ @@ -1790,7 +1790,7 @@ %(reducebuf)s } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (0, 1, 0) or self.reduce_mask == (1, 0): # this kernel uses one block for each column, # threads per block for each element per column. @@ -1804,7 +1804,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2]", {}) reduce_init = self._assign_init("A[i0 * sA0 + threadIdx.x * sA1 + i2 * sA2]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_010_%(nodename)s( const int d0, const int d1, @@ -1837,13 +1837,13 @@ } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (0, 1, 0): reduce_fct = self._assign_reduce(node, nodename, "myresult", "X[a * sX0 + b * sX1 + c * sX2]", {}) reduce_init = self._assign_init("X[a * sX0 + 0 * sX1 + c * sX2]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_010_AD_%(nodename)s( const int A, const int B, @@ -1881,7 +1881,7 @@ } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (0, 1, 0): # # This kernel is optimized when the inner most dimensions @@ -1903,7 +1903,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2]", {}) reduce_init = self._assign_init("A[i0 * sA0 + 0 * sA1 + i2 * sA2]") - print >> sio, """ + print(""" %(decl)s { if(warpSize> sio, """ + print(""" static __global__ void kernel_reduce_110_%(nodename)s( const int d0, const int d1, @@ -1970,7 +1970,7 @@ %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (1, 0, 0): reducebuf = self._k_reduce_buf('Z[i1 * sZ0 + i2 * sZ1]', node, nodename, sub={}) @@ -1980,7 +1980,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2]", {}) reduce_init = self._assign_init("A[i1 * sA1 + i2 * sA2]") - print >> sio, """ + print(""" %(decl)s { %(init)s @@ -1997,7 +1997,7 @@ } } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (1, 1, 1): reducebuf = self._k_reduce_buf('Z[0]', node, nodename, sub={}) @@ -2007,7 +2007,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2]", {}) reduce_init = self._assign_init("A[0]") - print >> sio, """ + print(""" %(decl)s { %(init)s @@ -2024,7 +2024,7 @@ } %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (0, 0, 1): # this kernel uses one block for each row, # threads per block for each element per row. @@ -2034,7 +2034,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2]", {}) reduce_init = self._assign_init("A[i0 * sA0 + i1 * sA1]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_001_%(nodename)s( const int d0, const int d1, @@ -2065,7 +2065,7 @@ } } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (0, 0, 1, 1): # this kernel uses one block for each row, # threads per block for each element per row. @@ -2077,7 +2077,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2 + i3 * sA3]", {}) reduce_init = self._assign_init("A[i0 * sA0 + i1 * sA1]") - print >> sio, """ + print(""" %(decl)s { %(init)s @@ -2098,7 +2098,7 @@ } } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (0, 1, 0, 1): # this kernel uses one block for each row, # threads per block for each element per row. @@ -2110,7 +2110,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2 + i3 * sA3]", {}) reduce_init = self._assign_init("A[i0 * sA0 + i2 * sA2]") - print >> sio, """ + print(""" %(decl)s { %(init)s @@ -2131,7 +2131,7 @@ } } } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (1, 1, 1, 1): reducebuf = self._k_reduce_buf('Z[0]', node, nodename, sub={}) @@ -2141,7 +2141,7 @@ "A[i0 * sA0 + i1 * sA1 + i2 * sA2 + i3 * sA3]", {}) reduce_init = self._assign_init("A[0]") - print >> sio, """ + print(""" %(decl)s { %(init)s @@ -2159,7 +2159,7 @@ } %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) if self.reduce_mask == (1, 0, 1, 1): reducebuf = self._k_reduce_buf('Z[blockIdx.x*sZ0]', node, nodename, sub={}) @@ -2167,7 +2167,7 @@ "A[i0 * sA0 + blockIdx.x * sA1 + i2 * sA2 + i3 * sA3]", {}) reduce_init = self._assign_init("A[blockIdx.x * sA1]") - print >> sio, """ + print(""" static __global__ void kernel_reduce_1011_%(nodename)s( const unsigned int d0, const unsigned int d1, @@ -2199,7 +2199,7 @@ } %(reducebuf)s } - """ % locals() + """ % locals(), file=sio) return sio.getvalue() @@ -3205,7 +3205,7 @@ # If the output is a constant, it will have to be deepcopied # each time the function is called. So we do not fold. return False - elif (not isinstance(client[0], basestring) + elif (not isinstance(client[0], str) and isinstance(client[0].op, ( tensor.IncSubtensor, tensor.AdvancedIncSubtensor1, @@ -3258,7 +3258,7 @@ Py_INCREF(%(z)s); } else if ((NULL == %(z)s)""" % locals() - for i in xrange(len(node.inputs[0].type.broadcastable)): + for i in range(len(node.inputs[0].type.broadcastable)): str += "\n|| (CudaNdarray_HOST_DIMS(%(input)s)[%(i)s] != CudaNdarray_HOST_DIMS(%(z)s)[%(i)s])" % locals() str += """ || !CudaNdarray_is_c_contiguous(%(z)s)) @@ -3374,15 +3374,15 @@ apply_time, apply_cimpl, message, outputs_size, other_time): if any([x[1].op.__class__.__name__.lower().startswith("gpu") - for x in apply_time.keys()]): + for x in list(apply_time.keys())]): local_time = sum(apply_time.values()) - print - print 'Some info useful for gpu:' + print() + print('Some info useful for gpu:') cpu = 0 gpu = 0 trans = 0 - for (_, node), t in apply_time.items(): + for (_, node), t in list(apply_time.items()): if isinstance(node.op.__class__.__name__, (HostFromGpu, GpuFromHost)): trans += t @@ -3390,35 +3390,35 @@ gpu += t else: cpu += t - print - print " Spent %.3fs(%.3f%%) in cpu Op, %.3fs(%.3f%%) in gpu Op and %.3fs(%.3f%%) transfert Op" % ( + print() + print(" Spent %.3fs(%.3f%%) in cpu Op, %.3fs(%.3f%%) in gpu Op and %.3fs(%.3f%%) transfert Op" % ( cpu, cpu / local_time * 100, gpu, gpu / local_time * 100, - trans, trans / local_time * 100) - - print - print " Theano function input that are float64" - print " " - for fct in fct_call.keys(): + trans, trans / local_time * 100)) + + print() + print(" Theano function input that are float64") + print(" ") + for fct in list(fct_call.keys()): for i in fct.input_storage: if hasattr(i.type, 'dtype') and i.type.dtype == 'float64': - print ' ', fct.name, i.name, i.type, i - - print - print " List of apply that don't have float64 as input but have float64 in outputs" - print " (Useful to know if we forgot some cast when using floatX=float32 or gpu code)" - print ' ' - for fct in fct_call.keys(): + print(' ', fct.name, i.name, i.type, i) + + print() + print(" List of apply that don't have float64 as input but have float64 in outputs") + print(" (Useful to know if we forgot some cast when using floatX=float32 or gpu code)") + print(' ') + for fct in list(fct_call.keys()): for idx, node in enumerate(fct.maker.fgraph.toposort()): if (any(hasattr(i, 'dtype') and i.dtype == 'float64' for i in node.outputs) and not any(hasattr(i, 'dtype') and i.dtype == 'float64' for i in node.inputs)): - print ' ', str(node), idx, fct.name, - print str([getattr(i, 'dtype', None) - for i in node.inputs]), - print str([getattr(i, 'dtype', None) - for i in node.outputs]) + print(' ', str(node), idx, fct.name, end=' ') + print(str([getattr(i, 'dtype', None) + for i in node.inputs]), end=' ') + print(str([getattr(i, 'dtype', None) + for i in node.outputs])) class GpuEye(GpuOp): @@ -3445,7 +3445,7 @@ return [out_shape] def grad(self, inp, grads): - return [grad_undefined(self, i, inp[i]) for i in xrange(3)] + return [grad_undefined(self, i, inp[i]) for i in range(3)] def __eq__(self, otRefactoringTool: Refactored ./theano/sandbox/cuda/__init__.py RefactoringTool: Refactored ./theano/sandbox/cuda/GpuConvTransp3D.py her): return type(self) == type(other) and self.dtype == other.dtype --- ./theano/sandbox/cuda/__init__.py (original) +++ ./theano/sandbox/cuda/__init__.py (refactored) @@ -12,7 +12,7 @@ from theano.gof.cmodule import get_lib_extension from theano.gof.compilelock import get_lock, release_lock from theano.configparser import config, AddConfigVar, StrParam, BoolParam -import nvcc_compiler +from . import nvcc_compiler _logger_name = 'theano.sandbox.cuda' _logger = logging.getLogger(_logger_name) @@ -159,7 +159,7 @@ include_dirs=[cuda_path], libs=[config.cublas.lib], preargs=['-O3'] + compiler.compile_args()) from cuda_ndarray.cuda_ndarray import * - except Exception, e: + except Exception as e: _logger.error("Failed to compile cuda_ndarray.cu: %s", str(e)) set_cuda_disabled() finally: @@ -192,7 +192,7 @@ else: try: os.symlink(cuda_ndarray_so, libcuda_ndarray_so) - except OSError, e: + except OSError as e: # This may happen for instance when running multiple # concurrent jobs, if two of them try to create the # symlink simultaneously. @@ -209,7 +209,7 @@ cuda_initialization_error_message = "" # actively closing our gpu session presents segfault-on-exit on some systems atexit.register(gpu_shutdown) - except EnvironmentError, e: + except EnvironmentError as e: cuda_available = False cuda_initialization_error_message = " ".join(e.args) @@ -263,8 +263,8 @@ shared_constructor = float32_shared_constructor - import basic_ops - from basic_ops import ( + from . import basic_ops + from .basic_ops import ( GpuFromHost, HostFromGpu, GpuElemwise, GpuDimShuffle, GpuCAReduce, GpuReshape, GpuContiguous, GpuSubtensor, GpuIncSubtensor, @@ -274,11 +274,11 @@ ftensor3, ftensor4, scalar, vector, matrix, row, col, tensor3, tensor4) - from basic_ops import (host_from_gpu, gpu_from_host, + from .basic_ops import (host_from_gpu, gpu_from_host, as_cuda_array, as_cuda_ndarray_variable) - import opt + from . import opt import cuda_ndarray - from rng_curand import CURAND_RandomStreams + from .rng_curand import CURAND_RandomStreams def use(device, @@ -378,8 +378,8 @@ " this property") if config.print_active_device: - print >> sys.stderr, "Using gpu device %d: %s" % ( - active_device_number(), active_device_name()) + print("Using gpu device %d: %s" % ( + active_device_number(), active_device_name()), file=sys.stderr) if device_properties(use.device_number)['regsPerBlock'] < 16384: # We will try to use too much register per bloc at many places # when there is only 8k register per multi-processor. @@ -390,7 +390,7 @@ " crash when we try to use features" " that your GPU does not support.") - except (EnvironmentError, ValueError, RuntimeError), e: + except (EnvironmentError, ValueError, RuntimeError) as e: _logger.error(("ERROR: Not using GPU." " Initialisation of device %s failed:\n%s"), str(device), e) @@ -424,7 +424,7 @@ #in case the device if just gpu, # we check that the driver init it correctly. cuda_ndarray.cuda_ndarray.CudaNdarray.zeros((5, 5)) - except (Exception, NameError), e: + except (Exception, NameError) as e: # NameError when no gpu present as cuda_ndarray is not loaded. e.args += ("ERROR: GPU forced but failed. ",) raise --- ./theano/sandbox/cuda/GpuConvTransp3D.py (original) +++ ./theano/sandbox/cuda/GpuConRefactoringTool: Refactored ./theano/sandbox/cuda/GpuConvGrad3D.py RefactoringTool: No changes to ./theano/sandbox/cuda/GpuConv3D.py RefactoringTool: Refactored ./theano/sandbox/conv.py RefactoringTool: No changes to ./theano/raise_op.py RefactoringTool: Refactored ./theano/printing.py vTransp3D.py (refactored) @@ -43,7 +43,7 @@ def perform_(self, node, inputs, output_storage): W, b, d, H, RShape = inputs - print "\t\t\t\tGpuConvTransp3D python code still uses old format" + print("\t\t\t\tGpuConvTransp3D python code still uses old format") output_storage[0][0] = computeR(W,b,d,H,RShape) def c_code_cache_version(self): @@ -381,7 +381,7 @@ if Rshape is not None and Rshape[0] != -1: if Rshape[0] < videoHeight: - print (Rshape[0], videoHeight) + print((Rshape[0], videoHeight)) assert False assert Rshape[1] >= videoWidth assert Rshape[2] >= videoDur @@ -398,14 +398,14 @@ videoWidth, videoDur ) , dtype=H.dtype) #R[i,j,r,c,t] = b_j + sum_{rc,rk | d \circ rc + rk = r} sum_{cc,ck | ...} sum_{tc,tk | ...} sum_k W[k, j, rk, ck, tk] * H[i,k,rc,cc,tc] - for i in xrange(0,batchSize): + for i in range(0,batchSize): #print '\texample '+str(i+1)+'/'+str(batchSize) - for j in xrange(0,inputChannels): + for j in range(0,inputChannels): #print '\t\tfeature map '+str(j+1)+'/'+str(inputChannels) - for r in xrange(0,videoHeight): + for r in range(0,videoHeight): #print '\t\t\trow '+str(r+1)+'/'+str(videoHeight) - for c in xrange(0,videoWidth): - for t in xrange(0,videoDur): + for c in range(0,videoWidth): + for t in range(0,videoDur): R[i,j,r,c,t] = b[j] ftc = max([0, int(numpy.ceil(float(t-filterDur +1 )/float(dt))) ]) --- ./theano/sandbox/cuda/GpuConvGrad3D.py (original) +++ ./theano/sandbox/cuda/GpuConvGrad3D.py (refactored) @@ -33,7 +33,7 @@ def perform_(self, node, inputs, output_storage): V, d, WShape, dCdH = inputs - print "GpuConvGrad3D python code (warning not updated to new format)" + print("GpuConvGrad3D python code (warning not updated to new format)") #partial C / partial W[j,z,k,l,m] = sum_i sum_p sum_q sum_r (partial C /partial H[i,j,p,q,r] ) * V[i,z,dr*p+k,dc*q+l,dt*r+m] @@ -52,17 +52,17 @@ dCdW = numpy.zeros(WShape, dtype=V.dtype) #block - for j in xrange(0,WShape[0]): - for z in xrange(0,WShape[1]): - for k in xrange(0,WShape[2]): - for l in xrange(0,WShape[3]): + for j in range(0,WShape[0]): + for z in range(0,WShape[1]): + for k in range(0,WShape[2]): + for l in range(0,WShape[3]): #threads - for m in xrange(0,WShape[4]): + for m in range(0,WShape[4]): #thread - for i in xrange(0,batchSize): - for p in xrange(0,outputHeight): - for q in xrange(0,outputWidth): - for r in xrange(0,outputDur): + for i in range(0,batchSize): + for p in range(0,outputHeight): + for q in range(0,outputWidth): + for r in range(0,outputDur): dCdW[j,z,k,l,m] += dCdH[i,j,p,q,r] * V[i,z,dr*p+k,dc*q+l,dt*r+m] output_storage[0][0] = dCdW --- ./theano/sandbox/conv.py (original) +++ ./theano/sandbox/conv.py (refactored) @@ -1,3 +1,3 @@ import sys -print >> sys.stderr, "DEPRECATION: theano.sandbox.conv no longer provides conv. They have been moved to theano.tensor.nnet.conv" +print("DEPRECATION: theano.sandbox.conv no longer provides conv. They have been moved to theano.tensor.nnet.conv", file=sys.stderr) from theano.tensor.nnet.conv import * --- ./theano/printing.py (original) +++ ./theano/printing.py (refactored) @@ -115,7 +115,7 @@ pmsg = temp() else: pmsg = temp - print op.message, attr, '=', pmsg + print(op.message, attr, '=', pmsg) class Print(Op): @@ -249,7 +249,7 @@ def __init__(self, *patterns): self.patterns = [] for pattern in patterns: - if isinstance(pattern, basestring): + if isinstance(pattern, str): self.patterns.append((pattern, ())) else: self.patterns.append((pattern[0], pattern[1:])) @@ -388,16 +388,16 @@ current = None if display_inputs: strings = [(0, "inputs: " + ", ".join( - map(str, list(inputs) + updates.keys())))] + map(str, list(inputs) + list(updates.keys()))))] else: strings = [] pprinter = self.clone_assign(lambda pstate, r: r.name is not None and r is not current, LeafPrinter()) - inv_updates = dict((b, a) for (a, b) in updates.iteritems()) + inv_updates = dict((b, a) for (a, b) in updates.items()) i = 1 - for node in gof.graph.io_toposort(list(inputs) + updates.keys(), - list(outputs) + updates.values()): + for node in gof.graph.io_toposort(list(inputs) + list(updates.keys()), + list(outputs) + list(updates.values())): for output in node.outputs: if output in inv_updates: name = str(inv_updates[output]) @@ -450,14 +450,14 @@ epsilon="\\epsilon") else: - special = dict(middle_dot=u"\u00B7", - big_sigma=u"\u03A3") - - greek = dict(alpha=u"\u03B1", - beta=u"\u03B2", - gamma=u"\u03B3", - delta=u"\u03B4", - epsilon=u"\u03B5") + special = dict(middle_dot="\u00B7", + big_sigma="\u03A3") + + greek = dict(alpha="\u03B1", + beta="\u03B2", + gamma="\u03B3", + delta="\u03B4", + epsilon="\u03B5") pprint = PPrinter() @@ -714,7 +714,7 @@ astr = apply_name(node) use_color = None - for opName, color in colorCodes.items(): + for opName, color in list(colorCodes.items()): if opName in node.op.__class__.__name__: use_color = color @@ -793,7 +793,7 @@ g.write(outfile, prog='dot', format=format) if print_output_file: - print 'The output file is available at', outfile + print('The output file is available at', outfile) if assert_nb_all_strings != -1: assert len(all_strings) == assert_nb_all_strings @@ -882,13 +882,13 @@ return if app in my_list: return - astr = apply_name(app) + '_' + str(len(my_list.keys())) + astr = apply_name(app) + '_' + str(len(list(my_list.keys()))) if len(astr) > max_label_size: astr = astr[:max_label_size - 3] + '...' my_list[app] = astr use_color = None - for opName, color in colorCodes.items(): + for opName, color in list(colorCodes.items()): if opName in app.op.__class__.__name__: use_color = color @@ -902,7 +902,7 @@ for i, nd in enumerate(app.inputs): if nd not in my_list: - varastr = var_name(nd) + '_' + str(len(my_list.keys())) + varastr = var_name(nd) + '_' + str(len(list(my_list.keys()))) if len(varastr) > max_label_size: varastr = varastr[:max_label_size - 3] + '...' my_list[nd] = varastr @@ -922,7 +922,7 @@ for i, nd in enumerate(app.outputs): if nd not in my_list: - varastr = var_name(nd) + '_' + str(len(my_list.keys())) + varastr = var_name(nd) + '_' + str(len(list(my_list.keys()))) if len(varastr) >RefactoringTool: No changes to ./theano/misc/windows.py RefactoringTool: No changes to ./theano/misc/tests/test_pycuda_utils.py RefactoringTool: Refactored ./theano/misc/tests/test_pycuda_theano_simple.py RefactoringTool: No changes to ./theano/misc/tests/test_pycuda_example.py RefactoringTool: No changes to ./theano/misc/tests/test_may_share_memory.py RefactoringTool: No changes to ./theano/misc/tests/test_gnumpy_utils.py RefactoringTool: No changes to ./theano/misc/tests/test_cudamat_utils.py RefactoringTool: Refactored ./theano/misc/strutil.py RefactoringTool: No changes to ./theano/misc/safe_asarray.py RefactoringTool: No changes to ./theano/misc/pycuda_utils.py RefactoringTool: No changes to ./theano/misc/pycuda_init.py RefactoringTool: Refactored ./theano/misc/pycuda_example.py max_label_size: varastr = varastr[:max_label_size - 3] + '...' my_list[nd] = varastr @@ -959,7 +959,7 @@ plot_apply(nd.owner, depth) try: g.write_png(outfile, prog='dot') - except pd.InvocationException, e: + except pd.InvocationException as e: # Some version of pydot are bugged/don't work correctly with # empty label. Provide a better user error message. if pd.__version__ == "1.0.28" and "label=]" in e.message: @@ -973,7 +973,7 @@ " fix this problem. The pydot error is: " + e.message) - print 'The output file is available at', outfile + print('The output file is available at', outfile) class _TagGenerator: @@ -1143,7 +1143,7 @@ # The __str__ method is encoding the object's id in its str name = position_independent_str(obj) if ' at 0x' in name: - print name + print(name) assert False prefix = cur_tag + '=' --- ./theano/misc/tests/test_pycuda_theano_simple.py (original) +++ ./theano/misc/tests/test_pycuda_theano_simple.py (refactored) @@ -78,12 +78,12 @@ def test_pycuda_memory_to_theano(): #Test that we can use the GpuArray memory space in pycuda in a CudaNdarray y = pycuda.gpuarray.zeros((3, 4, 5), 'float32') - print sys.getrefcount(y) + print(sys.getrefcount(y)) # This increase the ref count with never pycuda. Do pycuda also # cache ndarray? # print y.get() - print "gpuarray ref count before creating a CudaNdarray", - print sys.getrefcount(y) + print("gpuarray ref count before creating a CudaNdarray", end=' ') + print(sys.getrefcount(y)) assert sys.getrefcount(y) == 2 rand = numpy.random.randn(*y.shape).astype(numpy.float32) cuda_rand = cuda_ndarray.CudaNdarray(rand) @@ -92,13 +92,13 @@ for i in y.shape[::-1][:-1]: strides.append(strides[-1] * i) strides = tuple(strides[::-1]) - print 'strides', strides + print('strides', strides) assert cuda_rand._strides == strides, (cuda_rand._strides, strides) # in pycuda trunk, y.ptr also works, which is a little cleaner y_ptr = int(y.gpudata) z = cuda_ndarray.from_gpu_pointer(y_ptr, y.shape, strides, y) - print "gpuarray ref count after creating a CudaNdarray", sys.getrefcount(y) + print("gpuarray ref count after creating a CudaNdarray", sys.getrefcount(y)) assert sys.getrefcount(y) == 3 assert (numpy.asarray(z) == 0).all() assert z.base is y @@ -124,6 +124,6 @@ # Check that the ref count to the gpuarray is right. del z - print "gpuarray ref count after deleting the CudaNdarray", - print sys.getrefcount(y) + print("gpuarray ref count after deleting the CudaNdarray", end=' ') + print(sys.getrefcount(y)) assert sys.getrefcount(y) == 2 --- ./theano/misc/strutil.py (original) +++ ./theano/misc/strutil.py (refactored) @@ -14,7 +14,7 @@ """ try: finalCode = string % sub - except Exception , E: + except Exception as E: # If unable to render the string, render longer and longer # initial substrings until we find the minimal initial substring # that causes an error @@ -22,7 +22,7 @@ while i <= len(string): try: finalCode = string[0:i] % sub - except Exception, F: + except Exception as F: if str(F) == str(E): raise Exception(string[0:i]+"<<<< caused exception "+str(F)) i+=1 @@ -40,7 +40,7 @@ lines = [ strip_leading_white_space(line) for line in lines ] indent = 0 - for i in xrange(len(lines)): + for i in range(len(lines)): indent -= lines[i].count('}') if indent < 0: indent = 0 --- ./theano/misc/pycuda_example.py (original) +++ ./theano/misc/pycuda_example.py (refactored) @@ -30,7 +30,7 @@ from theano.sandbox.cuda.opt import gpu_seqopt from theano.tensor.utils import hRefactoringTool: Refactored ./theano/misc/pkl_utils.py RefactoringTool: Refactored ./theano/misc/ordered_set.py ash_from_dict -import pycuda_init +from . import pycuda_init if not pycuda_init.pycuda_available: raise Exception("No pycuda available. You can't load pycuda_example.py") @@ -190,7 +190,7 @@ def __str__(self): if self.name is None: if self.inplace_pattern: - items = self.inplace_pattern.items() + items = list(self.inplace_pattern.items()) items.sort() return self.__class__.__name__ + "{%s}%s" % (self.scalar_op, str(items)) @@ -224,16 +224,16 @@ assert self.nout == 1 fct_name = "pycuda_elemwise_%s" % str(self.scalar_op) - out_node = Apply(self, _inputs, [otype() for o in xrange(self.nout)]) + out_node = Apply(self, _inputs, [otype() for o in range(self.nout)]) in_name = ["i" + str(id) for id in range(len(inputs))] out_name = ["o" + str(id) for id in range(self.nout)] c_code = self.scalar_op.c_code(out_node, "some_name", tuple([n + "[i]" for n in in_name]), tuple(n + "[i]" for n in out_name), {}) c_code_param = ", ".join([_replace_npy_types(var.type.dtype_specs()[1]) + " *" + name - for var, name in (zip(inputs, in_name) + - zip(out_node.outputs, - out_name))] + + for var, name in (list(zip(inputs, in_name)) + + list(zip(out_node.outputs, + out_name)))] + ["int size"]) mod = SourceModule(""" __global__ void %s(%s) @@ -284,7 +284,7 @@ def __str__(self): if self.name is None: if self.inplace_pattern: - items = self.inplace_pattern.items() + items = list(self.inplace_pattern.items()) items.sort() return self.__class__.__name__ + "{%s}%s" % (self.scalar_op, str(items)) @@ -307,7 +307,7 @@ raise Exception("pycuda don't support broadcasted dimensions") otype = CudaNdarrayType(broadcastable=[False] * _inputs[0].type.ndim) - out_node = Apply(self, _inputs, [otype() for o in xrange(self.nout)]) + out_node = Apply(self, _inputs, [otype() for o in range(self.nout)]) return out_node def make_thunk(self, node, storage_map, _, _2): @@ -322,8 +322,8 @@ tuple(n + "[i]" for n in out_name), {}) c_code_param = ", ".join([_replace_npy_types(var.type.dtype_specs()[1]) + " *" + name for var, name in - zip(node.inputs, in_name) + - zip(node.outputs, out_name)] + ["int size"]) + list(zip(node.inputs, in_name)) + + list(zip(node.outputs, out_name))] + ["int size"]) mod = SourceModule(""" __global__ void %s(%s) { --- ./theano/misc/pkl_utils.py (original) +++ ./theano/misc/pkl_utils.py (refactored) @@ -78,8 +78,8 @@ pass if self.is_verbose: - print(sys.exc_info()) - print(func, args) + print((sys.exc_info())) + print((func, args)) raise --- ./theano/misc/ordered_set.py (original) +++ ./theano/misc/ordered_set.py (refactored) @@ -16,7 +16,7 @@ # theano to use exceptions correctly, so that this can be a TypeError. if iterable is not None: assert isinstance(iterable, ( - list, tuple, OrderedSet, types.GeneratorType, basestring)) + list, tuple, OrderedSet, types.GeneratorType, str)) if MutableSet is not None: # Copyright (C) 2009 Raymond Hettinger @@ -65,7 +65,7 @@ RefactoringTool: Refactored ./theano/misc/nose_pr.py RefactoringTool: No changes to ./theano/misc/may_share_memory.py RefactoringTool: Refactored ./theano/misc/latence_gpu_transfert.py RefactoringTool: Refactored ./theano/misc/gnumpy_utils.py RefactoringTool: Refactored ./theano/misc/gh_api.py # Checks added by IG check_deterministic(iterable) self.__root = root = Link() # sentinel node for doubly linked list - root.prev = root.next = root + root.prev = root.__next__ = root self.__map = {} # key --> link if iterable is not None: self |= iterable @@ -90,16 +90,16 @@ # then removed by updating the links in the predecessor and successors. if key in self.__map: link = self.__map.pop(key) - link.prev.next = link.next + link.prev.next = link.__next__ link.next.prev = link.prev def __iter__(self): # Traverse the linked list in order. root = self.__root - curr = root.next + curr = root.__next__ while curr is not root: yield curr.key - curr = curr.next + curr = curr.__next__ def __reversed__(self): # Traverse the linked list in reverse order. @@ -214,7 +214,7 @@ if __name__ == '__main__': - print list(OrderedSet('abracadaba')) - print list(OrderedSet('simsalabim')) - print OrderedSet('boom') == OrderedSet('moob') - print OrderedSet('boom') == 'moob' + print(list(OrderedSet('abracadaba'))) + print(list(OrderedSet('simsalabim'))) + print(OrderedSet('boom') == OrderedSet('moob')) + print(OrderedSet('boom') == 'moob') --- ./theano/misc/nose_pr.py (original) +++ ./theano/misc/nose_pr.py (refactored) @@ -9,7 +9,7 @@ Usage: python test_pr.py 1657 """ -from __future__ import print_function + import errno from glob import glob @@ -25,7 +25,7 @@ PIPE, STDOUT, CalledProcessError) import sys -import gh_api +from . import gh_api basedir = os.path.join(os.path.expanduser("~"), ".theano_pr_tests") repodir = os.path.join(basedir, "Theano") @@ -58,7 +58,7 @@ try: os.mkdir(basedir) - except OSError, e: + except OSError as e: if e.errno != errno.EEXIST: raise os.chdir(basedir) @@ -134,7 +134,7 @@ try: return True, check_output([iptest], stderr=STDOUT).decode('utf-8') - except CalledProcessError, e: + except CalledProcessError as e: return False, e.output.decode('utf-8') finally: # Restore $PATH --- ./theano/misc/latence_gpu_transfert.py (original) +++ ./theano/misc/latence_gpu_transfert.py (refactored) @@ -8,12 +8,12 @@ x = theano.shared(numpy.zeros(1,dtype='float32')) f1 = theano.function([y],updates={x:y}) f2 = theano.function([],theano.sandbox.cuda.host_from_gpu(x)) -print f1.maker.fgraph.toposort() -print f2.maker.fgraph.toposort() +print(f1.maker.fgraph.toposort()) +print(f2.maker.fgraph.toposort()) for i in [1,10,100,1000, 10000, 100000,1000000, 10000000]: o = numpy.zeros(i, dtype='float32') t0=time.time();f1(o);t1=time.time(); tf1=t1-t0 t0=time.time();f2();t1=time.time(); - print "%8i %6.1f ns %7.1f ns"%(i, tf1*1e6,(t1-t0)*1e6) + print("%8i %6.1f ns %7.1f ns"%(i, tf1*1e6,(t1-t0)*1e6)) --- ./theano/misc/gnumpy_utils.py (original) +++ ./theano/misc/gnumpy_utils.py (refactored) @@ -2,6 +2,7 @@ This code can only work if gnumpy and theano are initialized on the same gpu as theano. """ +from functools import reduce try: import gnumpy @@ -113,7 +114,7 @@ strides = tuple(strides) import ctypes - ptr_long = long(ctypes.cast(x._base.mat.data_device, ctypes.c_void_p).value) + ptr_long = int(ctypes.cast(x._base.mat.data_device, ctypes.c_void_p).value) # seems legit. z = cuda.from_gpu_pointer(ptr_long, x.shape, strides, x._base) --- ./theano/misc/gh_api.py (original) +++ ./theano/misc/gh_api.py (refactored) @@ -1,5 +1,5 @@ """Functions for Github authorisation.""" -from __future__ import print_function + try: input = raw_input @@ -29,7 +29,7 @@ print("Please enter your github username and pRefactoringTool: No changes to ./theano/misc/doubleop.py RefactoringTool: Refactored ./theano/misc/cudamat_utils.py RefactoringTool: No changes to ./theano/misc/cpucount.py RefactoringTool: Refactored ./theano/misc/check_duplicate_key.py RefactoringTool: Refactored ./theano/misc/check_blas.py assword. These are not " "stored, only used to get an oAuth token. You can revoke this at " "any time on Github.") - user = input("Username: ") + user = eval(input("Username: ")) pw = getpass.getpass("Password: ") auth_request = { --- ./theano/misc/cudamat_utils.py (original) +++ ./theano/misc/cudamat_utils.py (refactored) @@ -104,7 +104,7 @@ strides = tuple(strides[::-1]) import ctypes - ptr_long = long(ctypes.cast(x.mat.data_device, ctypes.c_void_p).value) + ptr_long = int(ctypes.cast(x.mat.data_device, ctypes.c_void_p).value) # seems legit. --- ./theano/misc/check_duplicate_key.py (original) +++ ./theano/misc/check_duplicate_key.py (refactored) @@ -1,4 +1,4 @@ -import cPickle +import pickle import os, sys import theano @@ -41,23 +41,23 @@ del f del path except IOError: - print dir, "don't have a mod.{cpp,cu} file" + print(dir, "don't have a mod.{cpp,cu} file") pass if DISPLAY_DUPLICATE_KEYS: - for k, v in keys.iteritems(): + for k, v in keys.items(): if v > 1: - print "Duplicate key (%i copies): %s" % (v, cPickle.loads(k)) + print("Duplicate key (%i copies): %s" % (v, pickle.loads(k))) nbs_keys = {} # nb seen -> now many key -for val in keys.values(): +for val in list(keys.values()): nbs_keys.setdefault(val, 0) nbs_keys[val]+=1 nbs_mod = {} # nb seen -> how many key nbs_mod_to_key = {} #nb seen -> keys more_than_one = 0 -for mod,kk in mods.iteritems(): +for mod,kk in mods.items(): val = len(kk) nbs_mod.setdefault(val, 0) nbs_mod[val]+=1 @@ -67,27 +67,27 @@ if DISPLAY_MOST_FREQUENT_DUPLICATE_CCODE: m = max(nbs_mod.keys()) - print "The keys associated to the mod.{cpp,cu} with the most number of copy:" + print("The keys associated to the mod.{cpp,cu} with the most number of copy:") for kk in nbs_mod_to_key[m]: - kk = cPickle.loads(kk) - print kk + kk = pickle.loads(kk) + print(kk) -print "key.pkl histograph" -l = nbs_keys.items() +print("key.pkl histograph") +l = list(nbs_keys.items()) l.sort() -print l +print(l) -print "mod.{cpp,cu} histogram" -l = nbs_mod.items() +print("mod.{cpp,cu} histogram") +l = list(nbs_mod.items()) l.sort() -print l +print(l) -total = sum([len(k) for k in mods.values()]) +total = sum([len(k) for k in list(mods.values())]) uniq = len(mods) useless = total - uniq -print "mod.{cpp,cu} total:", total -print "mod.{cpp,cu} uniq:", uniq -print "mod.{cpp,cu} with more than 1 copy:", more_than_one -print "mod.{cpp,cu} useless:", useless, float(useless)/total*100,"%" +print("mod.{cpp,cu} total:", total) +print("mod.{cpp,cu} uniq:", uniq) +print("mod.{cpp,cu} with more than 1 copy:", more_than_one) +print("mod.{cpp,cu} useless:", useless, float(useless)/total*100,"%") -print "nb directory", len(dirs) +print("nb directory", len(dirs)) --- ./theano/misc/check_blas.py (original) +++ ./theano/misc/check_blas.py (refactored) @@ -39,32 +39,32 @@ """ if verbose: - print 'Some Theano flags:' - print ' blas.ldflags=', theano.config.blas.ldflags - print ' compiledir=', theano.config.compiledir - print ' floatX=', theano.config.floatX - print ' device=', theano.config.device - print 'Some OS information:' - print ' sys.platform=', sys.platform - print ' sys.version=', sys.version - print ' sys.prefix=', sys.prefix - print 'Some environment variables:' - print ' MKL_NUM_THREADS=', os.getenv('MKL_NUM_THREADS') - print ' OMP_NUM_THREADS=', os.getenv('OMP_NUM_THREADS') - print ' GOTO_NUM_THREADS=', os.getenv('GOTO_NUM_THREADS') - print + print('Some Theano flags:') + print(' blas.ldflags=', theano.config.blas.ldflags) + print(' compiledir=', theano.config.compiledir) + print(' floatX=', theano.config.floatX) + print(' device=', theano.config.deviceRefactoringTool: Refactored ./theano/misc/buildbot_filter.py RefactoringTool: Refactored ./theano/ifelse.py ) + print('Some OS information:') + print(' sys.platform=', sys.platform) + print(' sys.version=', sys.version) + print(' sys.prefix=', sys.prefix) + print('Some environment variables:') + print(' MKL_NUM_THREADS=', os.getenv('MKL_NUM_THREADS')) + print(' OMP_NUM_THREADS=', os.getenv('OMP_NUM_THREADS')) + print(' GOTO_NUM_THREADS=', os.getenv('GOTO_NUM_THREADS')) + print() print ('Numpy config: (used when the Theano flag' ' "blas.ldflags" is empty)') numpy.show_config() - print 'Numpy dot module:', numpy.dot.__module__ - print 'Numpy location:', numpy.__file__ - print 'Numpy version:', numpy.__version__ + print('Numpy dot module:', numpy.dot.__module__) + print('Numpy location:', numpy.__file__) + print('Numpy version:', numpy.__version__) if (theano.config.device.startswith("gpu") or theano.config.init_gpu_device.startswith("gpu")): - print 'nvcc version:' + print('nvcc version:') subprocess.call((theano.sandbox.cuda.nvcc_compiler.nvcc_path, "--version")) - print + print() a = theano.shared(numpy.ones((M, N), dtype=theano.config.floatX, order=order)) @@ -150,11 +150,11 @@ options, arguments = parser.parse_args(sys.argv) if hasattr(options, "help"): - print options.help + print(options.help) sys.exit(0) if not options.quiet: - print """ + print(""" Some results that you can compare against. They were 10 executions of gemm in float64 with matrices of shape 2000x2000 (M=N=K=2000). All memory layout was in C order. @@ -227,7 +227,7 @@ GT 220 3.80s GT 210 6.35s 8500 GT 10.68s - """ + """) t, impl = execute(not options.print_only, not options.quiet, M=options.M, N=options.N, K=options.K, @@ -236,17 +236,17 @@ if options.print_only: pass elif options.quiet: - print t + print(t) else: - print - print "We executed", options.iter, - print "calls to gemm with a and b matrices of shapes", - print "(%d, %d) and (%d, %d)." % (options.M, options.N, - options.N, options.K) - - print - print 'Total execution time: %.2fs on %s.' % (t, impl) - print + print() + print("We executed", options.iter, end=' ') + print("calls to gemm with a and b matrices of shapes", end=' ') + print("(%d, %d) and (%d, %d)." % (options.M, options.N, + options.N, options.K)) + + print() + print('Total execution time: %.2fs on %s.' % (t, impl)) + print() print ('Try to run this script a few times. Experience shows that' ' the first time is not as fast as followings calls. The' ' difference is not big, but consistent.') --- ./theano/misc/buildbot_filter.py (original) +++ ./theano/misc/buildbot_filter.py (refactored) @@ -22,6 +22,6 @@ import pdb pdb.set_trace() if len(sys.argv) > 1: - print filter_output(open(sys.argv[1])) + print(filter_output(open(sys.argv[1]))) else: - print filter_output(sys.stdin) + print(filter_output(sys.stdin)) --- ./theano/ifelse.py (original) +++ ./theano/ifelse.py (refactored) @@ -20,7 +20,7 @@ __contact__ = "Razvan Pascanu " from copy import deepcopy -from itertools import izip + import logging from theano.gof import PureOp, Apply @@ -69,7 +69,7 @@ # check destroyhandler and others to ensure that a view_map with # multiple inputs can work view_map = {} - for idx in xrange(n_outs): + for idx in range(n_outs): view_map[idx] = [idx + 1] self.view_map = view_map self.as_view = as_view @@ -177,7 +177,7 @@ ts = args[:self.n_outs] fs = args[self.n_outs:] - for t, f in izip(ts, fs): + for t, f in zip(ts, fs): if t.type != f.type: raise TypeError(('IfElse requires same types for true and ' 'false return values'), t, f, t.type, f.type) @@ -237,12 +237,12 @@ else: truthval = storage_map[cond][0] if truthval != 0: - ls = [idx + 1 for idx in xrange(self.n_outs) + ls = [idx + 1 for idx in range(self.n_outs) if not compute_map[ts[idx]][0]] if len(ls) > 0: return ls else: - for out, outtype, t in izip(outputs, outtypes, ts): + for out, outtype, t in zip(outputs, outtypes, ts): compute_map[out][0] = 1 if self.as_view: oval = outtype.filter(storage_map[t][0]) @@ -252,12 +252,12 @@ storage_map[out][0] = oval return [] else: - ls = [1 + idx + self.n_outs for idx in xrange(self.n_outs) + ls = [1 + idx + self.n_outs for idx in range(self.n_outs) if not compute_map[fs[idx]][0]] if len(ls) > 0: return ls else: - for out, outtype, f in izip(outputs, outtypes, fs): + for out, outtype, f in zip(outputs, outtypes, fs): compute_map[out][0] = 1 # can't view both outputs unless destroyhandler # improves @@ -325,7 +325,7 @@ # we will store them in these new_... lists. new_then_branch = [] new_else_branch = [] - for then_branch_elem, else_branch_elem in izip(then_branch, else_branch): + for then_branch_elem, else_branch_elem in zip(then_branch, else_branch): if not isinstance(then_branch_elem, theano.Variable): then_branch_elem = theano.tensor.as_tensor_variable( then_branch_elem) @@ -508,11 +508,11 @@ ins_t = tval.owner.inputs[1:][:ins_op.n_outs] replace[idx + 1] = ins_t[tval.owner.outputs.index(tval)] - if len(replace.items()) == 0: + if len(list(replace.items())) == 0: return False old_ins = list(node.inputs) - for pos, var in replace.items(): + for pos, var in list(replace.items()): old_ins[pos] = var return op(*old_ins, **dict(return_list=True)) @@ -533,11 +533,11 @@ replace[idx + 1 + op.n_outs] = \ ins_t[fval.owner.outputs.index(fval)] - if len(replace.items()) == 0: + if len(list(replace.items())) == 0: return False old_ins = list(node.inputs) - for pos, var in replace.items(): + for pos, var in list(replace.items()): old_ins[pos] = var return op(*old_ins, **dict(return_list=True)) @@ -549,7 +549,7 @@ def apply(self, fgraph): nodelist = list(fgraph.toposort()) - cond_nodes = filter(lambda s: isinstance(s.op, IfElse), nodelist) + cond_nodes = [s for s in nodelist if isinstance(s.op, IfElse)] if len(cond_nodes) < 2: return False merging_node = cond_nodes[0] @@ -576,7 +576,7 @@ as_view=False, gpu=False, name=mn_name + '&' + pl_name) - print 'here' + print('here') new_outs = new_ifelse(*new_ins, **dict(return_list=True)) new_outs = [clone(x) for x in new_outs] old_outs = [] @@ -588,7 +5RefactoringTool: Refactored ./theano/gradient.py 88,7 @@ old_outs += [proposal.outputs] else: old_outs += proposal.outputs - pairs = zip(old_outs, new_outs) + pairs = list(zip(old_outs, new_outs)) fgraph.replace_all_validate(pairs, reason='cond_merge') @@ -603,22 +603,22 @@ # sync outs out_map = {} - for idx in xrange(len(node.outputs)): + for idx in range(len(node.outputs)): if idx not in out_map: - for jdx in xrange(idx + 1, len(node.outputs)): + for jdx in range(idx + 1, len(node.outputs)): if (ts[idx] == ts[jdx] and fs[idx] == fs[jdx] and jdx not in out_map): out_map[jdx] = idx - if len(out_map.keys()) == 0: + if len(list(out_map.keys())) == 0: return False nw_ts = [] nw_fs = [] inv_map = {} pos = 0 - for idx in xrange(len(node.outputs)): + for idx in range(len(node.outputs)): if idx not in out_map: inv_map[idx] = pos pos = pos + 1 @@ -634,8 +634,8 @@ new_outs = new_ifelse(*new_ins, **dict(return_list=True)) rval = [] - for idx in xrange(len(node.outputs)): - if idx in out_map.keys(): + for idx in range(len(node.outputs)): + if idx in list(out_map.keys()): rval += [new_outs[inv_map[out_map[idx]]]] else: rval += [new_outs[inv_map[idx]]] @@ -692,7 +692,7 @@ old_outs += [proposal.outputs] else: old_outs += proposal.outputs - pairs = zip(old_outs, new_outs) + pairs = list(zip(old_outs, new_outs)) main_outs = clone(main_node.outputs, replace=pairs) return main_outs --- ./theano/gradient.py (original) +++ ./theano/gradient.py (refactored) @@ -7,8 +7,9 @@ __docformat__ = "restructuredtext en" -import __builtin__ -from itertools import izip +import builtins +from functools import reduce + import logging import warnings _logger = logging.getLogger('theano.gradient') @@ -338,7 +339,7 @@ wrt = [wrt] assert len(f) == len(grads) - known = dict(izip(f, grads)) + known = dict(zip(f, grads)) ret = grad(cost=None, known_grads=known, consider_constant=consider_constant, wrt=wrt, @@ -431,7 +432,7 @@ if cost is not None: outputs.append(cost) if known_grads is not None: - outputs.extend(known_grads.keys()) + outputs.extend(list(known_grads.keys())) var_to_app_to_idx = _populate_var_to_app_to_idx( outputs, wrt, consider_constant) @@ -527,7 +528,7 @@ rval = _populate_grad_dict(var_to_app_to_idx, grad_dict, wrt, cost_name) - for i in xrange(len(rval)): + for i in range(len(rval)): if isinstance(rval[i].type, DisconnectedType): handle_disconnected(rval[i]) if return_disconnected == 'zero': @@ -575,7 +576,7 @@ for ipt in node.inputs] assert isinstance(connection_pattern, list) assert len(connection_pattern) == len(node.inputs) - for ii in xrange(len(node.inputs)): + for ii in range(len(node.inputs)): assert isinstance(connection_pattern[ii], list) assert len(connection_pattern[ii]) == \ len(node.outputs) @@ -843,7 +844,7 @@ # each destroyed input. try: dinputs = [node.inputs[x[0]] for x in - node.op.destroy_map.values()] + list(node.op.destroy_map.values())] except AttributeError: dinputs = [] @@ -904,7 +905,7 @@ # because some gradients are only ever specified by the user, not computed # by Op.grad, and some gradients are only computed and returned, but never # passed as another node's output grads. - for idx, packed in enumerate(izip(node.outputs, + forRefactoringTool: Refactored ./theano/gof/vm.py idx, packed in enumerate(zip(node.outputs, new_output_grads)): orig_output, new_output_grad = packed if not hasattr(orig_output, 'shape'): @@ -1202,9 +1203,9 @@ # if not dtypes == [dtypes[0]] * len(apt): # raise TypeError('All function arguments must have same dtype') - total_size = __builtin__.sum(prod(sh) for sh in shapes) - - working_dtype = __builtin__.min((self.type_eps[dt], dt) + total_size = builtins.sum(prod(sh) for sh in shapes) + + working_dtype = builtins.min((self.type_eps[dt], dt) for dt in dtypes)[1] # create un-initialized memory @@ -1215,7 +1216,7 @@ gx = numpy.ndarray((total_size,), dtype=working_dtype) if eps is None: - eps = __builtin__.max(self.type_eps[dt] for dt in dtypes) + eps = builtins.max(self.type_eps[dt] for dt in dtypes) # set up aliases so that apt[i] is backed by memory in x # and self.gf is backed by memory in gx @@ -1234,7 +1235,7 @@ # now iterate over the elements of x, and call f on apt. x_copy = x.copy() - for i in xrange(total_size): + for i in range(total_size): x[:] = x_copy x[i] += eps @@ -1395,9 +1396,9 @@ float64=1e-4) if abs_tol is None: - abs_tol = __builtin__.max(_type_tol[str(p.dtype)] for p in pt) + abs_tol = builtins.max(_type_tol[str(p.dtype)] for p in pt) if rel_tol is None: - rel_tol = __builtin__.max(_type_tol[str(p.dtype)] for p in pt) + rel_tol = builtins.max(_type_tol[str(p.dtype)] for p in pt) if rng is None: raise TypeError(('rng should be a valid instance of ' @@ -1464,7 +1465,7 @@ grad_fn = function(tensor_pt, symbolic_grad) - for test_num in xrange(n_tests): + for test_num in range(n_tests): try: num_grad = numeric_grad(cost_fn, [p.copy() for p in pt], eps, out_type) @@ -1486,7 +1487,7 @@ # get new random projection for next test if test_num < n_tests - 1: t_r.set_value(random_projection(), borrow=True) - except Exception, e: + except Exception as e: e.args += ("\nThe error happened with the following inputs:", pt, "\nThe value of eps is:", eps, "\nThe out_type is:", out_type) --- ./theano/gof/vm.py (original) +++ ./theano/gof/vm.py (refactored) @@ -3,7 +3,7 @@ A VM is not actually different from a Linker, we just decided VM was a better name at some point. """ -import link +from . import link import logging import os import sys @@ -142,7 +142,7 @@ profile.variable_strides = self.variable_strides.copy() # clear the timer info out of the buffers - for i in xrange(len(self.call_times)): + for i in range(len(self.call_times)): self.call_times[i] = 0.0 self.call_counts[i] = 0 @@ -326,7 +326,7 @@ last_apply_stack_len = -1 #This record all function inputs/shared varibles and constants - for var, data in self.storage_map.iteritems(): + for var, data in self.storage_map.items(): if data[0] is None: continue if hasattr(var.type, 'get_shape_info'): @@ -513,7 +513,7 @@ try: - import lazylinker_c + from . import lazylinker_c class CVM(lazylinker_c.CLazyLinker, VM): def __init__(self, *args, **kwargs): @@ -521,7 +521,7 @@ # skip VM.__init__ except ImportError: pass -except (OSError, theano.gof.cmodule.MissingGXX), e: +except (OSError, theano.gof.cmodule.MissingGXX) as e: # OSError happens when g++ is not installed. In that case, we # already changed the default linker to something else then CVM. # Currently this is the py linker. @@ -695,17 +695,17 @@ nodes_idx_inv = {} vars_idx_inv = {} - RefactoringTool: Refactored ./theano/gof/utils.py for (node, i) in nodes_idx.items(): + for (node, i) in list(nodes_idx.items()): nodes_idx_inv[i] = node - for (var, i) in vars_idx.items(): + for (var, i) in list(vars_idx.items()): vars_idx_inv[i] = var # put storage_map and compute_map into a int-based scheme n_applies = len(nodes) storage_map_list = [storage_map[vars_idx_inv[i]] - for i in xrange(len(vars_idx_inv))] + for i in range(len(vars_idx_inv))] compute_map_list = [compute_map[vars_idx_inv[i]] - for i in xrange(len(vars_idx_inv))] + for i in range(len(vars_idx_inv))] if nodes: assert type(storage_map_list[0]) is list assert type(compute_map_list[0]) is list @@ -714,7 +714,7 @@ dependency_map = self.compute_gc_dependencies(storage_map) dependency_map_list = [ [vars_idx[d] for d in dependency_map[vars_idx_inv[i]]] - for i in xrange(len(vars_idx_inv))] + for i in range(len(vars_idx_inv))] else: dependency_map_list = None @@ -736,7 +736,7 @@ # build the var owner array var_owner = [None] * len(vars_idx) - for (var, i) in vars_idx.items(): + for (var, i) in list(vars_idx.items()): if var.owner: var_owner[i] = nodes_idx[var.owner] @@ -764,7 +764,7 @@ # values of the update expressions). update_storage = [] update_in_from_out = {} - for (ivar, ovar) in updated_vars.items(): + for (ivar, ovar) in list(updated_vars.items()): update_in_from_out[vars_idx[ovar]] = vars_idx[ivar] for oidx in output_vars: if oidx in update_in_from_out: @@ -845,7 +845,7 @@ storage_map, compute_map, no_recycling)) - except Exception, e: + except Exception as e: e.args = ("The following error happened while" " compiling the node", node, "\n") + e.args raise --- ./theano/gof/utils.py (original) +++ ./theano/gof/utils.py (refactored) @@ -18,7 +18,7 @@ def hashgen(): hashgen.next += 1 - return hashgen.next + return hashgen.__next__ hashgen.next = 0 @@ -64,9 +64,9 @@ return "scratchpad" + str(self.__dict__) def info(self): - print "" % id(self) - for k, v in self.__dict__.items(): - print " %s: %s" % (k, v) + print("" % id(self)) + for k, v in list(self.__dict__.items()): + print(" %s: %s" % (k, v)) class D: @@ -111,8 +111,8 @@ def g(*args, **kwargs): if printme[0]: - print 'WARNING: %s.%s deprecated. %s'\ - % (filename, f.__name__, msg) + print('WARNING: %s.%s deprecated. %s'\ + % (filename, f.__name__, msg)) printme[0] = False return f(*args, **kwargs) return g @@ -141,7 +141,7 @@ raise Exception('not worth it') set2 = set(seq2) return [x for x in seq1 if x not in set2] - except Exception, e: + except Exception as e: # maybe a seq2 element is not hashable # maybe seq2 is too short # -> use O(len(seq1) * len(seq2)) algo @@ -240,7 +240,7 @@ seq = [] done = set() postreqs_d = {} - for x, prereqs in prereqs_d.items(): + for x, prereqs in list(prereqs_d.items()): for prereq in prereqs: postreqs_d.setdefault(prereq, set()).add(x) next = set([k for k in prereqs_d if not prereqs_d[k]]) RefactoringTool: Refactored ./theano/gof/unify.py @@ -269,11 +269,11 @@ for op in self.order: for input in op.inputs: if input.owner: - print ' '.join(( + print(' '.join(( input.owner.__class__.__name__ + str(abs(id(input.owner))), " -> ", op.__class__.__name__ + str(abs(id(op))), - ";")) + ";"))) class Keyword: @@ -282,7 +282,7 @@ self.name = name self.nonzero = nonzero - def __nonzero__(self): + def __bool__(self): return self.nonzero def __str__(self): @@ -305,7 +305,7 @@ def comm_guard(type1, type2): def wrap(f): - old_f = f.func_globals[f.__name__] + old_f = f.__globals__[f.__name__] def new_f(arg1, arg2, *rest): if (type1 is ANY_TYPE or isinstance(arg1, type1)) \ @@ -343,7 +343,7 @@ def type_guard(type1): def wrap(f): - old_f = f.func_globals[f.__name__] + old_f = f.__globals__[f.__name__] def new_f(arg1, *rest): if (type1 is ANY_TYPE or isinstance(arg1, type1)): @@ -398,14 +398,14 @@ """ Gives unique names to an iterable of variables. Modifies input. This function is idempotent.""" - names = map(lambda var: var.name, variables) + names = [var.name for var in variables] h = hist(names) bad_var = lambda var: not var.name or h[var.name] > 1 for i, var in enumerate(filter(bad_var, variables)): var.name = (var.name or "") + "_%d" % i - if not unique(map(str, variables)): + if not unique(list(map(str, variables))): raise ValueError("Not all variables have unique names." "Maybe you've named some of the variables identically") @@ -421,4 +421,4 @@ >>> remove(even, [1, 2, 3, 4]) [1, 3] """ - return filter(lambda x: not predicate(x), coll) + return [x for x in coll if not predicate(x)] --- ./theano/gof/unify.py (original) +++ ./theano/gof/unify.py (refactored) @@ -35,7 +35,7 @@ def __init__(self, name = "?"): self.name = name def __str__(self): - return self.__class__.__name__ + "(" + ", ".join(["%s=%s" % (key, value) for key, value in self.__dict__.items()]) + ")" + return self.__class__.__name__ + "(" + ", ".join(["%s=%s" % (key, value) for key, value in list(self.__dict__.items())]) + ")" def __repr__(self): return str(self) @@ -129,7 +129,7 @@ else: # Copy all the unification data. U = Unification(self.inplace) - for var, (best, pool) in self.unif.items(): + for var, (best, pool) in list(self.unif.items()): # The pool of a variable is the set of all the variables that # are unified to it (all the variables that must have the same # value). The best is the Variable that represents a set of @@ -313,8 +313,8 @@ """ Tries to unify values of corresponding keys. """ - for (k1, v1) in d1.items(): - if d2.has_key(k1): + for (k1, v1) in list(d1.items()): + if k1 in d2: U = unify_walk(v1, d2[k1], U) if U is False: return False @@ -384,13 +384,13 @@ @comm_guard(dict, dict) def unify_merge(d1, d2, U): d = d1.__class__() - for k1, v1 in d1.items(): - if d2.has_key(k1): + for k1, v1 in list(d1.items()): + if k1 in d2: d[k1] = unify_merge(v1, d2[k1], U) else: d[k1] = unify_merge(v1, v1, U) - for k2, v2 in d2.items(): - if not d1.has_key(k2): + for k2, v2 in list(d2.items()): + if k2 not in d1: d[k2] = unify_merge(v2, v2, U) return d @@ -461,15 +461,15 @@ U = unify_walk(pattern1, pattern2, Unification()) if U: - print U[va] - print U[vx] - print U[vy] - print U[vz] - print unify_merge(pattern1, pattern2, U) - else: - print "no match" + print(U[va]) + print(U[vx]) + print(U[vy]) + pRefactoringTool: No changes to ./theano/gof/type.py RefactoringTool: Refactored ./theano/gof/toolbox.py rint(U[vz]) + print(unify_merge(pattern1, pattern2, U)) + else: + print("no match") U = unify_walk((1, 2), (va, va), Unification()) - print U[va] - + print(U[va]) + --- ./theano/gof/toolbox.py (original) +++ ./theano/gof/toolbox.py (refactored) @@ -206,23 +206,23 @@ for r, new_r in replacements: try: fgraph.replace(r, new_r, reason=reason, verbose=False) - except Exception, e: + except Exception as e: if ('The type of the replacement must be the same' not in str(e) and 'does not belong to this FunctionGraph' not in str(e)): out = sys.stderr - print >> out, "<>", - print >> out, type(e), e, reason + print("<>", end=' ', file=out) + print(type(e), e, reason, file=out) # this might fail if the error is in a listener: # (fgraph.replace kinda needs better internal error handling) fgraph.revert(chk) raise try: fgraph.validate() - except Exception, e: + except Exception as e: fgraph.revert(chk) raise if verbose: - print reason, r, new_r + print(reason, r, new_r) return chk def replace_all_validate_remove(self, fgraph, replacements, @@ -237,14 +237,14 @@ fgraph.revert(chk) if warn: out = sys.stderr - print >> out, ( + print(( "WARNING: An optimization wanted to replace a Variable" " in the graph, but the replacement for it doesn't" " remove it. We disabled the optimization." " Your function runs correctly, but it would be" " appreciated if you submit this problem to the" - " mailing list theano-users so that we can fix it.") - print >> out, reason, replacements + " mailing list theano-users so that we can fix it."), file=out) + print(reason, replacements, file=out) raise ReplacementDidntRemovedError() @@ -277,12 +277,12 @@ self.d.setdefault(node.op, []).append(node) except TypeError: # node.op is unhashable return - except Exception, e: - print >> sys.stderr, 'OFFENDING node', type(node), type(node.op) + except Exception as e: + print('OFFENDING node', type(node), type(node.op), file=sys.stderr) try: - print >> sys.stderr, 'OFFENDING node hash', hash(node.op) + print('OFFENDING node hash', hash(node.op), file=sys.stderr) except Exception: - print >> sys.stderr, 'OFFENDING node not hashable' + print('OFFENDING node not hashable', file=sys.stderr) raise e def on_prune(self, fgraph, node, reason): @@ -311,24 +311,24 @@ def on_attach(self, fgraph): if self.active: - print "-- attaching to: ", fgraph - - def on_detach(self, fgraph): - if self.active: - print "-- detaching from: ", fgraph + print("-- attaching to: ", fgraph) + + def on_detach(self, fgraph): + if self.active: + print("-- detaching from: ", fgraph) def on_import(self, fgraph, node, reason): if self.active: - print "-- importing: %s, reason: %s" % (node, reason) + print("-- importing: %s, reason: %s" % (node, reason)) def on_prune(self, fgraph, node, reason): if self.active: - print "-- pruning: %s, reason: %s" % (node, reason) + print("-- pruning: %s, reason: %s" % (node, reason)) def on_change_input(self, fgraph, node, i, r, new_r, reasRefactoringTool: Refactored ./theano/gof/tests/test_vm.py RefactoringTool: Refactored ./theano/gof/tests/test_utils.py on=None): if self.active: - print "-- changing (%s.inputs[%s]) from %s to %s" % ( - node, i, r, new_r) + print("-- changing (%s.inputs[%s]) from %s to %s" % ( + node, i, r, new_r)) class PreserveNames(Feature): --- ./theano/gof/tests/test_vm.py (original) +++ ./theano/gof/tests/test_vm.py (refactored) @@ -68,7 +68,7 @@ def numpy_version(x, depth): z = x - for d in xrange(depth): + for d in range(depth): z = (z+z) return z def time_numpy(): @@ -86,9 +86,9 @@ t_a = t1 - t0 t_b = t3 - t2 - print "%s takes %f s/Kop" % ( + print("%s takes %f s/Kop" % ( 'numpy', - (1000*(t_b-t_a) / (steps_b - steps_a))) + (1000*(t_b-t_a) / (steps_b - steps_a)))) def time_linker(name, linker): steps_a = 5 @@ -121,9 +121,9 @@ t_a = t1 - t0 t_b = t3 - t2 - print "%s takes %f s/Kop" % ( + print("%s takes %f s/Kop" % ( name, - (1000*(t_b-t_a) / (steps_b - steps_a))) + (1000*(t_b-t_a) / (steps_b - steps_a)))) time_linker('c|py', OpWiseCLinker) time_linker('vmLinker', vm.VM_Linker) @@ -174,9 +174,9 @@ t_a = t1 - t0 t_b = t3 - t2 - print "%s takes %f s/Kop" % ( + print("%s takes %f s/Kop" % ( name, - (1000*(t_b-t_a) / (steps_b - steps_a))) + (1000*(t_b-t_a) / (steps_b - steps_a)))) time_linker('vmLinker', vm.VM_Linker) time_linker('vmLinker_nogc', lambda : vm.VM_Linker(allow_gc=False)) @@ -191,15 +191,15 @@ # was stable. def test_leak2(): import theano.sandbox.cuda as cuda - for i in xrange(1000000): + for i in range(1000000): n = numpy.asarray([2.3, 4.5], dtype='f') c = sys.getrefcount(n) a = cuda.CudaNdarray(n) assert c == sys.getrefcount(n) if not i % 1000: - print '.', - print gc.collect(), - print gc.collect() + print('.', end=' ') + print(gc.collect(), end=' ') + print(gc.collect()) sys.stdout.flush() def test_no_leak_many_graphs(): @@ -207,7 +207,7 @@ # This isn't really a unit test, you have to run it and look at top to # see if there's a leak - for i in xrange(10000): + for i in range(10000): x = tensor.vector() z = x for d in range(10): @@ -215,7 +215,7 @@ f = function([x], z, mode=Mode(optimizer=None, linker='cvm')) if not i % 100: - print gc.collect() + print(gc.collect()) sys.stdout.flush() gc.collect() @@ -246,15 +246,15 @@ mode=Mode(optimizer=None, linker=linker())) - for i in xrange(100000): + for i in range(100000): f_a([2.0]) if 0: # this doesn't seem to work, prints 0 for everything import resource pre = resource.getrusage(resource.RUSAGE_SELF) post = resource.getrusage(resource.RUSAGE_SELF) - print pre.ru_ixrss, post.ru_ixrss - print pre.ru_idrss, post.ru_idrss - print pre.ru_maxrss, post.ru_maxrss + print(pre.ru_ixrss, post.ru_ixrss) + print(pre.ru_idrss, post.ru_idrss) + print(pre.ru_maxrss, post.ru_maxrss) time_linker('vmLinker_C', lambda: vm.VM_Linker(allow_gc=False, use_cloop=True)) @@ -280,7 +280,7 @@ mode=Mode(optimizer=None, linker=linker())) - for i in xrange(500000): + for i in range(500000): f_a([2.0]) time_linker('vmLinker_C', --- ./theano/gof/tests/test_utils.py (original) +++ ./theano/gof/tests/RefactoringTool: Refactored ./theano/gof/tests/test_toolbox.py RefactoringTool: Refactored ./theano/gof/tests/test_sched.py RefactoringTool: Refactored ./theano/gof/tests/test_optdb.py RefactoringTool: Refactored ./theano/gof/tests/test_opt.py RefactoringTool: Refactored ./theano/gof/tests/test_op.py test_utils.py (refactored) @@ -41,4 +41,4 @@ odd = lambda x: x % 2 == 1 # The list are neede as with python 3, remove and filter return generators # and we can't compare generators. - assert list(remove(even, range(5))) == list(filter(odd, range(5))) + assert list(remove(even, list(range(5)))) == list(filter(odd, list(range(5)))) --- ./theano/gof/tests/test_toolbox.py (original) +++ ./theano/gof/tests/test_toolbox.py (refactored) @@ -39,7 +39,7 @@ def make_node(self, *inputs): assert len(inputs) == self.nin - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if not isinstance(input.type, MyType): raise Exception("Error 1") --- ./theano/gof/tests/test_sched.py (original) +++ ./theano/gof/tests/test_sched.py (refactored) @@ -60,7 +60,7 @@ def test_posort(): - l = range(1, 20) + l = list(range(1, 20)) cmps = [lambda a, b: a % 10 - b % 10, lambda a, b: (a / 10) % 2 - (b / 10) % 2, lambda a, b: a - b] --- ./theano/gof/tests/test_optdb.py (original) +++ ./theano/gof/tests/test_optdb.py (refactored) @@ -21,7 +21,7 @@ try: db.register('c', Opt()) # name taken self.fail() - except ValueError, e: + except ValueError as e: if exc_message(e).startswith("The name"): pass else: @@ -32,7 +32,7 @@ try: db.register('z', Opt()) # name collides with tag self.fail() - except ValueError, e: + except ValueError as e: if exc_message(e).startswith("The name"): pass else: @@ -43,7 +43,7 @@ try: db.register('u', Opt(), 'b') # name new but tag collides with name self.fail() - except ValueError, e: + except ValueError as e: if exc_message(e).startswith("The tag"): pass else: --- ./theano/gof/tests/test_opt.py (original) +++ ./theano/gof/tests/test_opt.py (refactored) @@ -39,7 +39,7 @@ self.x = x def make_node(self, *inputs): - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if not isinstance(input.type, MyType): raise Exception("Error 1") @@ -357,7 +357,7 @@ class TestEquilibrium(object): def test_1(self): - x, y, z = map(MyVariable, 'xyz') + x, y, z = list(map(MyVariable, 'xyz')) e = op3(op4(x, y)) g = Env([x, y, z], [e]) #print g @@ -372,7 +372,7 @@ assert str(g) == '[Op2(x, y)]' def test_2(self): - x, y, z = map(MyVariable, 'xyz') + x, y, z = list(map(MyVariable, 'xyz')) e = op1(op1(op3(x, y))) g = Env([x, y, z], [e]) #print g @@ -388,7 +388,7 @@ assert str(g) == '[Op2(x, y)]' def test_low_use_ratio(self): - x, y, z = map(MyVariable, 'xyz') + x, y, z = list(map(MyVariable, 'xyz')) e = op3(op4(x, y)) g = Env([x, y, z], [e]) #print 'before', g --- ./theano/gof/tests/test_op.py (original) +++ ./theano/gof/tests/test_op.py (refactored) @@ -38,7 +38,7 @@ def filter(self, x, strict=False, allow_downcast=None): # Dummy filter: we want this type to represent strings that # start with `self.thingy`. - if not isinstance(x, basestring): + if not isinstance(x, str): raise TypeError("Invalid type") if not x.startswith(self.thingy): raise ValueError("Invalid value") @@ -48,7 +48,7 @@ class MyOp(Op): def make_node(self, *inputs): - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if not isinstance(input.type, MyType): raise Exception("Error 1") @@ -92,7 +92,7 @@ try: MyOp(Generic()(), MyType(1)()) # MyOp requires MyType instances RefactoringTool: Refactored ./theano/gof/tests/test_link.py RefactoringTool: Refactored ./theano/gof/tests/test_lazy.py RefactoringTool: Refactored ./theano/gof/tests/test_graph.py RefactoringTool: Refactored ./theano/gof/tests/test_destroyhandler.py RefactoringTool: Refactored ./theano/gof/tests/test_compute_test_value.py raise Exception("Expected an exception") - except Exception, e: + except Exception as e: if str(e) != "Error 1": raise @@ -193,7 +193,7 @@ def test_test_value_python_objects(): - for x in (range(3), 0, 0.5, 1): + for x in (list(range(3)), 0, 0.5, 1): assert (op.get_test_value(x) == x).all() --- ./theano/gof/tests/test_link.py (original) +++ ./theano/gof/tests/test_link.py (refactored) @@ -34,7 +34,7 @@ def make_node(self, *inputs): assert len(inputs) == self.nin - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if input.type is not tdouble: raise Exception("Error 1") --- ./theano/gof/tests/test_lazy.py (original) +++ ./theano/gof/tests/test_lazy.py (refactored) @@ -159,9 +159,9 @@ except NotImplementedOp.E: pass else: - print f(1, 0, numpy.array(10, dtype=x1.dtype), 0) + print(f(1, 0, numpy.array(10, dtype=x1.dtype), 0)) assert f(1, 0, numpy.array(10, dtype=x1.dtype), 0) == 20.5 - print '... passed' + print('... passed') if __name__ == '__main__': more_complex_test() --- ./theano/gof/tests/test_graph.py (original) +++ ./theano/gof/tests/test_graph.py (refactored) @@ -34,10 +34,10 @@ class MyOp(Op): def make_node(self, *inputs): - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if not isinstance(input.type, MyType): - print input, input.type, type(input), type(input.type) + print(input, input.type, type(input), type(input.type)) raise Exception("Error 1") outputs = [MyVariable(sum([input.type.thingy for input in inputs]))] return Apply(self, inputs, outputs) --- ./theano/gof/tests/test_destroyhandler.py (original) +++ ./theano/gof/tests/test_destroyhandler.py (refactored) @@ -63,11 +63,11 @@ def make_node(self, *inputs): assert len(inputs) == self.nin - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if not isinstance(input.type, MyType): raise Exception("Error 1") - outputs = [MyVariable(self.name + "_R") for i in xrange(self.nout)] + outputs = [MyVariable(self.name + "_R") for i in range(self.nout)] return Apply(self, inputs, outputs) def __str__(self): @@ -117,7 +117,7 @@ try: assert g.consistent() except AssertionError: - print "Test failed! The graph was marked as NOT consistent." + print("Test failed! The graph was marked as NOT consistent.") raise #print "Test OK" @@ -127,7 +127,7 @@ try: assert not g.consistent() except AssertionError: - print "Test failed! The graph was marked as consistent." + print("Test failed! The graph was marked as consistent.") raise #print "Test OK" @@ -349,7 +349,7 @@ try: g = Env([x, y, z], [e]) raise Exception("Shouldn't have reached this point.") - except InconsistencyError, e: + except InconsistencyError as e: pass --- ./theano/gof/tests/test_compute_test_value.py (original) +++ ./theano/gof/tests/test_compute_test_value.py (refactored) @@ -269,7 +269,7 @@ non_sequences=A, n_steps=k) assert False - except ValueError, e: + except ValueError as e: # Get traceback tb = sys.exc_info()[2] # Get frame info 4 layers up @@ -312,7 +312,7 @@ non_sequences=A, n_steps=k) assert False - except ValueError, e: + except ValueError as e: # The first message is for numpy before 1.6. # The second is a new message in numpy 1.6. assert (str(e).startswitRefactoringTool: No changes to ./theano/gof/tests/test_cmodule.py RefactoringTool: Refactored ./theano/gof/tests/test_cc.py RefactoringTool: Refactored ./theano/gof/sched.py RefactoringTool: No changes to ./theano/gof/python25.py RefactoringTool: Refactored ./theano/gof/optdb.py RefactoringTool: Refactored ./theano/gof/opt.py h("shape mismatch") or --- ./theano/gof/tests/test_cc.py (original) +++ ./theano/gof/tests/test_cc.py (refactored) @@ -84,7 +84,7 @@ def make_node(self, *inputs): assert len(inputs) == self.nin - inputs = map(as_variable, inputs) + inputs = list(map(as_variable, inputs)) for input in inputs: if input.type is not tdouble: raise Exception("Error 1") @@ -310,7 +310,7 @@ # are the same. res = fn(1.0, 2.0, 3.0) raise Exception("An exception should have been raised here!") - except MyExc, e: + except MyExc as e: pass @@ -343,6 +343,6 @@ try: res = fn(1.5, 3.0) except RuntimeError: - print 'Yay, TEST PASSED' + print('Yay, TEST PASSED') return # test passed assert 0 # test failed --- ./theano/gof/sched.py (original) +++ ./theano/gof/sched.py (refactored) @@ -36,8 +36,9 @@ def make_depends(): @memodict - def depends((a, b)): + def depends(xxx_todo_changeme): """ Returns True if a depends on b """ + (a, b) = xxx_todo_changeme return (any(bout in a.inputs for bout in b.outputs) or any(depends((ainp.owner, b)) for ainp in a.inputs if ainp.owner)) @@ -103,7 +104,7 @@ [2] http://en.wikipedia.org/wiki/Toposort#Algorithms """ incoming_edges = reverse_dict(edges) - incoming_edges = dict((k, set(val)) for k, val in incoming_edges.items()) + incoming_edges = dict((k, set(val)) for k, val in list(incoming_edges.items())) S = set((v for v in edges if v not in incoming_edges)) L = [] --- ./theano/gof/optdb.py (original) +++ ./theano/gof/optdb.py (refactored) @@ -129,9 +129,9 @@ return variable def print_summary(self, stream=sys.stdout): - print >> stream, "%s (id %i)" % (self.__class__.__name__, id(self)) - print >> stream, " names", self._names - print >> stream, " db", self.__db__ + print("%s (id %i)" % (self.__class__.__name__, id(self)), file=stream) + print(" names", self._names, file=stream) + print(" db", self.__db__, file=stream) class Query(object): @@ -246,16 +246,16 @@ return ret def print_summary(self, stream=sys.stdout): - print >> stream, "SequenceDB (id %i)" % id(self) - positions = self.__position__.items() + print("SequenceDB (id %i)" % id(self), file=stream) + positions = list(self.__position__.items()) def c(a, b): return cmp(a[1], b[1]) positions.sort(c) - print >> stream, " position", positions - print >> stream, " names", self._names - print >> stream, " db", self.__db__ + print(" position", positions, file=stream) + print(" names", self._names, file=stream) + print(" db", self.__db__, file=stream) def __str__(self): sio = StringIO() --- ./theano/gof/opt.py (original) +++ ./theano/gof/opt.py (refactored) @@ -20,6 +20,7 @@ import theano from theano import config from theano.gof.python25 import any, all, deque +from functools import reduce #if sys.version_info[:2] >= (2,5): # from collections import defaultdict @@ -27,7 +28,7 @@ _logger = logging.getLogger('theano.gof.opt') -import destroyhandler as dh +from . import destroyhandler as dh import traceback _optimizer_idx = [0] @@ -102,8 +103,8 @@ def print_summary(self, stream=sys.stdout, level=0, depth=-1): name = getattr(self, 'name', None) - print >> stream, "%s%s %s id=%i" % ( - (' ' * level), self.__class__.__name__, name, id(self)) + print("%s%s %s id=%i" % ( + (' ' * level), self.__class__.__name__, name, id(self)), file=stream) def print_profile(self, prof): if prof is not None: @@ -123,10 +124,10 @@ pass def print_summary(self, stream=sys.stdout, level=0, depth=-1): - print >> stream, "%s%s id=%i" % ( + print("%s%s id=%i" % ( ' ' * level, str(self.apply), - id(self)) + id(self)), file=stream) def __call__(self, *args, **kwargs): return self.fn(*args, **kwargs) @@ -188,7 +189,7 @@ except AssertionError: # do not catch Assertion failures raise - except Exception, e: + except Exception as e: if self.failure_callback: self.failure_callback(e, self, optimizer) continue @@ -211,8 +212,8 @@ def print_summary(self, stream=sys.stdout, level=0, depth=-1): name = getattr(self, 'name', None) - print >> stream, "%s%s %s id=%i" % ( - (' ' * level), self.__class__.__name__, name, id(self)) + print("%s%s %s id=%i" % ( + (' ' * level), self.__class__.__name__, name, id(self)), file=stream) # This way, -1 will do all depth if depth != 0: depth -= 1 @@ -225,20 +226,18 @@ nb_node_after, sub_profs, sub_validate_time) = prof blanc = (' ' * level) - print >> stream, blanc, "SeqOptimizer", + print(blanc, "SeqOptimizer", end=' ', file=stream) if hasattr(opts, "name"): - print >> stream, blanc, opts.name, + print(blanc, opts.name, end=' ', file=stream) elif hasattr(opts, "__name__"): - print >> stream, blanc, opts.__name__, - print >> stream, (" time %.3fs for %d/%d nodes" + print(blanc, opts.__name__, end=' ', file=stream) + print((" time %.3fs for %d/%d nodes" " before/after optimization" % ( - sum(prof), nb_node_before, nb_node_after)) - print >> stream, \ - blanc, " %.3fs for fgraph.validate()" % (validate_time) - print >> stream, \ - blanc, " %.3fs for callback" % (callback_time) + sum(prof), nb_node_before, nb_node_after)), file=stream) + print(blanc, " %.3fs for fgraph.validate()" % (validate_time), file=stream) + print(blanc, " %.3fs for callback" % (callback_time), file=stream) if level == 0: - print >> stream, blanc, " time - (name, class, index) - validate time" + print(blanc, " time - (name, class, index) - validate time", file=stream) ll = [] for opt in opts: if hasattr(opt, "__name__"): @@ -247,7 +246,7 @@ else: ll.append((opt.name, opt.__class__.__name__, opts.index(opt))) - lll = zip(prof, ll) + lll = list(zip(prof, ll)) def cmp(a, b): if a[0] == b[0]: @@ -263,15 +262,15 @@ if sub_validate_time: i = opt[-1] val_time = sub_validate_time[i + 1] - sub_validate_time[i] - print >> stream, blanc, ' %.6fs - %s - %.3fs' % ( - t, opt, val_time) + print(blanc, ' %.6fs - %s - %.3fs' % ( + t, opt, val_time), file=stream) else: - print >> stream, blanc, ' %.6fs - %s' % (t, opt) + print(blanc, ' %.6fs - %s' % (t, opt), file=stream) if sub_profs[opt[-1]]: opts[opt[-1]].print_profile(stream, sub_profs[opt[-1]], level=level + 1) - print >> stream + print(file=stream) @staticmethod def merge_profile(prof1, prof2): @@ -522,7 +521,7 @@ continue # Schedule transfer of clients from node to candidate - pairs = zip(node.outputs, candidate.outputs) + pairs = list(zip(node.outputs, candidate.outputs)) #transfer names for node_output, cand_output in pairs: @@ -593,7 +592,7 @@ validate_time = fgraph.profile.validate_time - validate_before callback_time = fgraph.execute_callbacks_time - callback_before callbacks_time = {} - for k, v in fgraph.execute_callbacks_times.iteritems(): + for k, v in fgraph.execute_callbacks_times.items(): if k in callbacks_before: callbacks_time[k] = v - callbacks_before[k] else: @@ -616,14 +615,14 @@ callback_time, callbacks_time, nb_merged, nb_constant) = prof blanc = (' ' * level) - print >> stream, blanc, "MergeOptimizer" - print >> stream, blanc, " nb_fail", nb_fail - print >> stream, blanc, " replace_time", replace_time - print >> stream, blanc, " validate_time", validate_time - print >> stream, blanc, " callback_time", callback_time - print >> stream, blanc, " callback_times", callbacks_time - print >> stream, blanc, " nb_merged", nb_merged - print >> stream, blanc, " nb_constant", nb_constant + print(blanc, "MergeOptimizer", file=stream) + print(blanc, " nb_fail", nb_fail, file=stream) + print(blanc, " replace_time", replace_time, file=stream) + print(blanc, " validate_time", validate_time, file=stream) + print(blanc, " callback_time", callback_time, file=stream) + print(blanc, " callback_times", callbacks_time, file=stream) + print(blanc, " nb_merged", nb_merged, file=stream) + print(blanc, " nb_constant", nb_constant, file=stream) merge_optimizer = MergeOptimizer() @@ -647,7 +646,7 @@ # break the mapping in givens. fgraph = theano.gof.fg.FunctionGraph(inputs, vars, clone=False) # Perform Variable substitution. - for to_replace, replace_by in givens.iteritems(): + for to_replace, replace_by in givens.items(): fgraph.replace(to_replace, replace_by) # Perform merge optimization. merge_optimizer.optimize(fgraph) @@ -716,7 +715,7 @@ var.owner.inputs[idx] = recursive_merge(inp) return var - return map(recursive_merge, vars) + return list(map(recursive_merge, vars)) ######################## @@ -765,8 +764,8 @@ pass def print_summary(self, stream=sys.stdout, level=0, depth=-1): - print >> stream, "%s%s id=%i" % ( - (' ' * level), self.__class__.__name__, id(self)) + print("%s%s id=%i" % ( + (' ' * level), self.__class__.__name__, id(self)), file=stream) class FromFunctionLocalOptimizer(LocalOptimizer): @@ -785,10 +784,10 @@ '') def print_summary(self, stream=sys.stdout, level=0, depth=-1): - print >> stream, "%s%s id=%i" % ( + print("%s%s id=%i" % ( ' ' * level, str(self.transform), - id(self)) + id(self)), file=stream) def local_optimizer(*tracks): @@ -822,8 +821,8 @@ return repl def print_summary(self, stream=sys.stdout, level=0, depth=-1): - print >> stream, "%s%s id=%i" % ( - (' ' * level), self.__class__.__name__, id(self)) + print("%s%s id=%i" % ( + (' ' * level), self.__class__.__name__, id(self)), file=stream) if depth != 0: depth -= 1 for lopt in self.opts: @@ -912,11 +911,11 @@ return "%s(x) -> x" % (self.op) def print_summary(self, stream=sys.stdout, level=0, depth=-1): - print >> stream, "%s%s(%s) id=%i" % ( + print("%s%s(%s) id=%i" % ( ' ' * level, self.__class__.__name__, str(self.op), - id(self)) + id(self)), file=stream) class PatternSub(LocalOptimizer): @@ -1065,7 +1064,7 @@ allow_multiple_clients)) else: return retry_with_equiv() - elif isinstance(pattern, basestring): + elif isinstance(pattern, str): v = unify.Var(pattern) if u[v] is not v and u[v] is not expr: return retry_with_equiv() @@ -1093,7 +1092,7 @@ if isinstance(pattern, (list, tuple)): args = [build(p, u) for p in pattern[1:]] return pattern[0](*args) - elif isinstance(pattern, basestring): + elif isinstance(pattern, str): return u[unify.Var(pattern)] elif isinstance(pattern, (int, float)): return pattern @@ -1133,13 +1132,13 @@ def print_summary(self, stream=sys.stdout, level=0, depth=-1): name = getattr(self, '__name__', getattr(self, 'name', None)) - print >> stream, "%s%s %s(%s, %s) id=%i" % ( + print("%s%s %s(%s, %s) id=%i" % ( ' ' * level, self.__class__.__name__, name, str(self.in_pattern), str(self.out_pattern), - id(self)) + id(self)), file=stream) ################## @@ -1284,7 +1283,7 @@ lopt = lopt or self.local_opt try: replacements = lopt.transform(node) - except Exception, e: + except Exception as e: if self.failure_callback is not None: self.failure_callback(e, self, [(x, None) for x in node.outputs], @@ -1315,7 +1314,7 @@ try: fgraph.replace_all_validate(repl_pairs, reason=lopt) return True - except Exception, e: + except Exception as e: # This means the replacements were rejected by the fgraph. # # This is not supposed to happen. The default failure_callback @@ -1334,8 +1333,8 @@ self.local_opt.add_requirements(fgraph) def print_summary(self, stream=sys.stdout, level=0, depth=-1): - print >> stream, "%s%s (%i)" % ( - (' ' * level), self.__class__.__name__, id(self)) + print("%s%s (%i)" % ( + (' ' * level), self.__class__.__name__, id(self)), file=stream) if depth != 0: self.local_opt.print_summary(stream, level=(level + 2), depth=(depth - 1)) @@ -1400,12 +1399,12 @@ io_t, loop_t, callback_time) = prof blanc = (' ' * level) - print >> stream, blanc, "TopoOptimizer" - print >> stream, blanc, " nb_node (start, end, changed)", ( - nb_nodes_start, nb_nodes_end, nb) - print >> stream, blanc, " init io_toposort", io_t - print >> stream, blanc, " loop time", loop_t - print >> stream, blanc, " callback_time", callback_time + print(blanc, "TopoOptimizer", file=stream) + print(blanc, " nb_node (start, end, changed)", ( + nb_nodes_start, nb_nodes_end, nb), file=stream) + print(blanc, " init io_toposort", io_t, file=stream) + print(blanc, " loop time", loop_t, file=stream) + print(blanc, " callback_time", callback_time, file=stream) def __str__(self): return getattr(self, '__name__', @@ -1426,7 +1425,7 @@ def apply(self, fgraph): op = self.local_opt.op_key() if isinstance(op, (list, tuple)): - q = reduce(list.__iadd__, map(fgraph.get_nodes, op)) + q = reduce(list.__iadd__, list(map(fgraph.get_nodes, op))) else: q = list(fgraph.get_nodes(op)) @@ -1631,8 +1630,8 @@ def print_summary(self, stream=sys.stdout, level=0, depth=-1): name = getattr(self, 'name', None) - print >> stream, "%s%s %s id=%i" % ( - (' ' * level), self.__class__.__name__, name, id(self)) + print("%s%s %s id=%i" % ( + (' ' * level), self.__class__.__name__, name, id(self)), file=stream) if depth != 0: for lopt in self.local_optimizers: lopt.print_summary(stream, level=(level + 2), @@ -1645,35 +1644,35 @@ global_opt_timing, nb_nodes, time_opts, io_toposort_timing) = prof blanc = (' ' * level) - print >> stream, blanc, "EquilibriumOptimizer", - print >> stream, blanc, getattr(opt, "name", - getattr(opt, "__name__", "")) - print >> stream, blanc, " time %.3fs for %d passes" % ( - sum(loop_timing), len(loop_timing)) - print >> stream, blanc, " nb nodes (start, end, max) %d %d %d" % ( - start_nb_nodes, end_nb_nodes, max_nb_nodes) - print >> stream, blanc, " time io_toposort %.3fs" % sum( - io_toposort_timing) + print(blanc, "EquilibriumOptimizer", end=' ', file=stream) + print(blanc, getattr(opt, "name", + getattr(opt, "__name__", "")), file=stream) + print(blanc, " time %.3fs for %d passes" % ( + sum(loop_timing), len(loop_timing)), file=stream) + print(blanc, " nb nodes (start, end, max) %d %d %d" % ( + start_nb_nodes, end_nb_nodes, max_nb_nodes), file=stream) + print(blanc, " time io_toposort %.3fs" % sum( + io_toposort_timing), file=stream) s = sum([time_opts[o] for o in opt.local_optimizers]) - print >> stream, blanc, " time in local optimizers %.3fs" % s + print(blanc, " time in local optimizers %.3fs" % s, file=stream) s = sum([time_opts[o] for o in opt.global_optimizers]) - print >> stream, blanc, " time in global optimizers %.3fs" % s + print(blanc, " time in global optimizers %.3fs" % s, file=stream) for i in range(len(loop_timing)): lopt = "" if loop_process_count[i]: - d = list(reversed(sorted(loop_process_count[i].iteritems(), + d = list(reversed(sorted(iter(loop_process_count[i].items()), key=lambda a: a[1]))) lopt = " ".join([str((str(k), v)) for k, v in d[:5]]) if len(d) > 5: lopt += " ..." - print >> stream, blanc, (' %2d - %.3fs %d (%.3fs in global opts, ' + print(blanc, (' %2d - %.3fs %d (%.3fs in global opts, ' '%.3fs io_toposort) - %d nodes - %s' % ( i, loop_timing[i], sum(loop_process_count[i].values()), global_opt_timing[i], io_toposort_timing[i], nb_nodes[i], - lopt)) + lopt)), file=stream) count_opt = [] not_used = 0 @@ -1682,9 +1681,9 @@ for o in opt.global_optimizers + opt.local_optimizers: process_count.setdefault(o, 0) for count in loop_process_count: - for o, v in count.iteritems(): + for o, v in count.items(): process_count[o] += v - for opt, count in process_count.iteritems(): + for opt, count in process_count.items(): if count > 0: count_opt.append((time_opts[opt], count, opt)) else: @@ -1692,15 +1691,15 @@ not_used_time += time_opts[opt] if count_opt: - print >> stream, blanc, \ - ' times - times applied - name:' + print(blanc, \ + ' times - times applied - name:', file=stream) count_opt.sort() for (t, count, opt) in count_opt[::-1]: - print >> stream, blanc, ' %.3fs - %d - %s' % ( - t, count, opt) - print >> stream, blanc, ' %.3fs - in %d optimization that where not used' % ( - not_used_time, not_used) - print >> stream + print(blanc, ' %.3fs - %d - %s' % ( + t, count, opt), file=stream) + print(blanc, ' %.3fs - in %d optimization that where not used' % ( + not_used_time, not_used), file=stream) + print(file=stream) @staticmethod def merge_profile(pRefactoringTool: Refactored ./theano/gof/op.py RefactoringTool: No changes to ./theano/gof/null_type.py RefactoringTool: Refactored ./theano/gof/link.py rof1, prof2): @@ -1729,7 +1728,7 @@ loop_process_count = prof1[2].copy() for i in range(len(loop_process_count)): process_count = loop_process_count[i] - for process, count in prof2[2][i].iteritems(): + for process, count in prof2[2][i].items(): if process in process_count: process_count[process] += count else: @@ -1744,7 +1743,7 @@ nb_nodes = merge_list(prof1[5], prof2[5]) time_opts = prof1[6].copy() - for opt, t in prof2[6].iteritems(): + for opt, t in prof2[6].items(): if opt in time_opts: time_opts[opt] += t else: --- ./theano/gof/op.py (original) +++ ./theano/gof/op.py (refactored) @@ -432,7 +432,7 @@ # copy the values of the inputs in destroy_map destroyed_inputs_idx = set() if getattr(node.op, 'destroy_map', None): - for i_pos_list in node.op.destroy_map.itervalues(): + for i_pos_list in node.op.destroy_map.values(): destroyed_inputs_idx.update(i_pos_list) for inp_idx in destroyed_inputs_idx: inp = node.inputs[inp_idx] --- ./theano/gof/link.py (original) +++ ./theano/gof/link.py (refactored) @@ -1,6 +1,6 @@ """WRITEME""" from copy import copy -import StringIO +import io import sys import traceback @@ -19,7 +19,7 @@ # in future, consider accepting `write` as arg rather than file # to support writing to a logger def write(msg): - print >> f, "log_thunk_trace: %s" % msg.strip() + print("log_thunk_trace: %s" % msg.strip(), file=f) if hasattr(value, '__thunk_trace__'): trace2 = value.__thunk_trace__ @@ -92,7 +92,7 @@ exc_type, exc_value, exc_trace = exc_info if exc_type == KeyboardInterrupt: # print a simple traceback from KeyboardInterrupt - raise exc_type, exc_value, exc_trace + raise exc_type(exc_value).with_traceback(exc_trace) try: trace = op.tag.trace except AttributeError: @@ -134,7 +134,7 @@ " have the inputs shapes and strides printed.") if theano.config.exception_verbosity == 'high': - f = StringIO.StringIO() + f = io.StringIO() theano.printing.debugprint(op, file=f, stop_on_name=True, print_type=True) detailed_err_msg += "\nDebugprint of the apply node: \n" + f.getvalue() @@ -143,7 +143,7 @@ " for a debugprint of this apply node.") exc_value = exc_type(str(exc_value) + detailed_err_msg) - raise exc_type, exc_value, exc_trace + raise exc_type(exc_value).with_traceback(exc_trace) raise_with_op.print_thunk_trace = False @@ -277,7 +277,7 @@ else: self.storage[0] = self.type.filter(value, **kwargs) - except Exception, e: + except Exception as e: e.args = e.args + (('Container name "%s"' % self.name),) raise data = property(__get__, __set__) @@ -398,7 +398,7 @@ raise_with_op(node, thunk) f = streamline_default_f elif nice_errors: - thunk_node_list = zip(thunks, order) + thunk_node_list = list(zip(thunks, order)) def streamline_nice_errors_f(): for x in no_recycling: @@ -551,7 +551,7 @@ if no_recycling is True: # True seems like some special code for *everything*?? -JB # FunctionMaker always passes a list I think -JB - no_recycling = storage_map.values() + no_recycling = list(storage_map.values()) no_recycling = utils.difference(no_recycling, input_storage) else: no_recycling = [storage_map[r] for r in no_recycling if r not in fgraph.inputs] @@ -667,7 +667,7 @@ make_all += [l.make_all(**kwargs) for l in self.linkers[1:]] fns, input_lists, output_lists, thunk_lists, order_lists \RefactoringTool: Refactored ./theano/gof/lazylinker_c.py RefactoringTool: Refactored ./theano/gof/graph.py RefactoringTool: Refactored ./theano/gof/fg.py - = zip(*make_all) + = list(zip(*make_all)) order_list0 = order_lists[0] for order_list in order_lists[1:]: @@ -678,7 +678,7 @@ inputs0 = input_lists[0] outputs0 = output_lists[0] - thunk_groups = zip(*thunk_lists) + thunk_groups = list(zip(*thunk_lists)) order = [x[0] for x in zip(*order_lists)] to_reset = [] --- ./theano/gof/lazylinker_c.py (original) +++ ./theano/gof/lazylinker_c.py (refactored) @@ -36,7 +36,7 @@ try: # Try to make the location os.mkdir(location) - except OSError, e: + except OSError as e: # If we get an error, verify that the error was # 17, the path already exists, # and that it is a directory # Note: we can't check if it exists before making it, because we are not holding --- ./theano/gof/graph.py (original) +++ ./theano/gof/graph.py (refactored) @@ -336,7 +336,7 @@ if index is not None and not isinstance(index, int): raise TypeError("index must be an int", index) self.index = index - if name is not None and not isinstance(name, basestring): + if name is not None and not isinstance(name, str): raise TypeError("name must be a string", name) self.name = name @@ -416,7 +416,7 @@ inputs_to_values = {} if not hasattr(self, '_fn'): - self._fn_inputs = inputs_to_values.keys() + self._fn_inputs = list(inputs_to_values.keys()) self._fn = theano.function(self._fn_inputs, self) args = [inputs_to_values[param] for param in self._fn_inputs] @@ -764,9 +764,9 @@ if len(rlist) != len(reachable): if debug_print: - print '' - print reachable - print rlist + print('') + print(reachable) + print(rlist) raise ValueError('graph contains cycles') return rlist @@ -879,7 +879,7 @@ in_xs = [] in_ys = [] # Compute the sets of all variables found in each computational graph. - inputs_var = map(inputs, ([var1], [var2])) + inputs_var = list(map(inputs, ([var1], [var2]))) all_vars = [set(variables(v_i, v_o)) for v_i, v_o in ((inputs_var[0], [var1]), (inputs_var[1], [var2]))] @@ -888,7 +888,7 @@ # Return True iff `x` is in computation graph of variable `vark`. return x in all_vars[k - 1] - for to_replace, replace_by in givens.iteritems(): + for to_replace, replace_by in givens.items(): # Map a substitution variable to the computational graphs it # belongs to. inside = dict((v, [in_var(v, k) for k in (1, 2)]) @@ -1017,7 +1017,7 @@ if owner is not None: try: view_map = owner.op.view_map - view_map = dict([(owner.outputs[o], i) for o, i in view_map.items()]) + view_map = dict([(owner.outputs[o], i) for o, i in list(view_map.items())]) except AttributeError: return [r] if r in view_map: --- ./theano/gof/fg.py (original) +++ ./theano/gof/fg.py (refactored) @@ -155,13 +155,13 @@ raise Exception("%s is already owned by another fgraph" % node) if (hasattr(node.op, 'view_map') and not all([isinstance(view, (list, tuple)) - for view in node.op.view_map.values()])): + for view in list(node.op.view_map.values())])): raise Exception("Op '%s' have a bad view map '%s'," " the values must be tuples or lists." % ( str(node.op), str(node.op.view_map))) if (hasattr(node.op, 'destroy_map') and not all([isinstance(destroy, (list, tuple)) - for destroy in node.op.destroy_map.values()])): + for destroy in list(node.op.destroy_map.values())])): rRefactoringTool: Refactored ./theano/gof/destroyhandler.py aise Exception("Op '%s' have a bad destroy map '%s'," " the values must be tuples or lists." % ( str(node.op), str(node.op.destroy_map))) @@ -209,11 +209,11 @@ Updates the list of clients of r with new_clients. """ if set(r.clients).intersection(set(new_clients)): - print >> sys.stderr, 'ERROR: clients intersect!' - print >> sys.stderr, ' RCLIENTS of', r, [(n, i, type(n), id(n)) - for n, i in r.clients] - print >> sys.stderr, ' NCLIENTS of', r, [(n, i, type(n), id(n)) - for n, i in new_clients] + print('ERROR: clients intersect!', file=sys.stderr) + print(' RCLIENTS of', r, [(n, i, type(n), id(n)) + for n, i in r.clients], file=sys.stderr) + print(' NCLIENTS of', r, [(n, i, type(n), id(n)) + for n, i in new_clients], file=sys.stderr) assert not set(r.clients).intersection(set(new_clients)) r.clients += new_clients @@ -228,9 +228,9 @@ for entry in clients_to_remove: r.clients.remove(entry) if entry in r.clients: - print >> sys.stderr, 'ERROR: DUPLICATE CLIENT ENTRY...' - print >> sys.stderr, ' ENTRY', repr(entry), type(entry[0]) - print >> sys.stderr, ' CLIENTS', repr(r.clients) + print('ERROR: DUPLICATE CLIENT ENTRY...', file=sys.stderr) + print(' ENTRY', repr(entry), type(entry[0]), file=sys.stderr) + print(' CLIENTS', repr(r.clients), file=sys.stderr) assert entry not in r.clients # an op,i pair should be unique if not r.clients: if prune: @@ -243,7 +243,7 @@ def __import_r__(self, variables, reason): global NullType if NullType is None: - from null_type import NullType + from .null_type import NullType # Imports the owners of the variables for apply_node in [r.owner for r in variables if r.owner is not None]: if apply_node not in self.apply_nodes: @@ -442,7 +442,7 @@ if verbose is None: verbose = config.optimizer_verbose if verbose: - print reason, r, new_r + print(reason, r, new_r) if r.fgraph is not self: raise Exception("Cannot replace %s because it does not belong to this FunctionGraph" % r, str(reason)) if not r.type == new_r.type: @@ -620,7 +620,7 @@ str(feature.orderings) + ". Nondeterministic object is " + str(orderings)) - for node, prereqs in orderings.items(): + for node, prereqs in list(orderings.items()): if not isinstance(prereqs, (list, OrderedSet)): raise TypeError( "prereqs must be a type with a " @@ -628,7 +628,7 @@ " will be non-deterministic.") ords.setdefault(node, []).extend(prereqs) # eliminate duplicate prereqs - for (node, prereqs) in ords.items(): + for (node, prereqs) in list(ords.items()): ords[node] = list(OrderedSet(prereqs)) return ords --- ./theano/gof/destroyhandler.py (original) +++ ./theano/gof/destroyhandler.py (refactored) @@ -3,13 +3,13 @@ and inplace operations. """ import theano -import toolbox -import graph +from . import toolbox +from . import graph from theano.gof.python25 import deque from theano.gof.python25 import OrderedDict from theano.misc.ordered_set import OrderedSet -from fg import InconsistencyError +from .fg import InconsistencyError class ProtocolError(Exception): """Raised when FunctionGraph calls DestroyHandler callbacks in @@ -345,7 +345,7 @@ root_destroyer = {} # root -> destroyer apply for app in self.destroyers: - for output_idx, input_idx_list in app.op.destroy_map.items(): + for output_idx, input_idx_list in list(app.op.destroy_map.items()): if len(input_idx_list) != 1: raise NotImplementedError() input_idx = input_idx_list[0] @@ -392,7 +392,7 @@ self.destroyers.add(app) # add this symbol to the forward and backward maps - for o_idx, i_idx_list in getattr(app.op, 'view_map', {}).items(): + for o_idx, i_idx_list in list(getattr(app.op, 'view_map', {}).items()): if len(i_idx_list) > 1: raise NotImplementedError('destroying this output invalidates multiple inputs', (app.op)) o = app.outputs[o_idx] @@ -427,7 +427,7 @@ # deleted on_detach(). #UPDATE self.view_i, self.view_o - for o_idx, i_idx_list in getattr(app.op, 'view_map', {}).items(): + for o_idx, i_idx_list in list(getattr(app.op, 'view_map', {}).items()): if len(i_idx_list) > 1: #destroying this output invalidates multiple inputs raise NotImplementedError() @@ -460,7 +460,7 @@ self.clients[new_r][app] += 1 #UPDATE self.view_i, self.view_o - for o_idx, i_idx_list in getattr(app.op, 'view_map', {}).items(): + for o_idx, i_idx_list in list(getattr(app.op, 'view_map', {}).items()): if len(i_idx_list) > 1: #destroying this output invalidates multiple inputs raise NotImplementedError() @@ -529,7 +529,7 @@ # add destroyed variable clients as computational dependencies for app in self.destroyers: # for each destroyed input... - for output_idx, input_idx_list in app.op.destroy_map.items(): + for output_idx, input_idx_list in list(app.op.destroy_map.items()): destroyed_idx = input_idx_list[0] destroyed_variable = app.inputs[destroyed_idx] root = droot[destroyed_variable] @@ -592,8 +592,8 @@ # depend on destroyed_input root_clients = OrderedSet() for r in root_impact: - assert not [a for a,c in self.clients[r].items() if not c] - root_clients.update([a for a,c in self.clients[r].items() if c]) + assert not [a for a,c in list(self.clients[r].items()) if not c] + root_clients.update([a for a,c in list(self.clients[r].items()) if c]) root_clients.remove(app) if root_clients: rval[app] = root_clients @@ -731,7 +731,7 @@ root_destroyer = OrderedDict() # root -> destroyer apply for app in self.destroyers: - for output_idx, input_idx_list in app.op.destroy_map.items(): + for output_idx, input_idx_list in list(app.op.destroy_map.items()): if len(input_idx_list) != 1: raise NotImplementedError() input_idx = input_idx_list[0] @@ -777,7 +777,7 @@ self.destroyers.add(app) # add this symbol to the forward and backward maps - for o_idx, i_idx_list in getattr(app.op, 'view_map', OrderedDict()).items(): + for o_idx, i_idx_list in list(getattr(app.op, 'view_map', OrderedDict()).items()): if len(i_idx_list) > 1: raise NotImplementedError('destroying this output invalidates multiple inputs', (app.op)) o = app.outputs[o_idx] @@ -812,7 +812,7 @@ # deleted on_detach(). #UPDATE self.view_i, self.view_o - foRefactoringTool: Refactored ./theano/gof/cutils.py RefactoringTool: Refactored ./theano/gof/compilelock.py RefactoringTool: Refactored ./theano/gof/compiledir.py r o_idx, i_idx_list in getattr(app.op, 'view_map', OrderedDict()).items(): + for o_idx, i_idx_list in list(getattr(app.op, 'view_map', OrderedDict()).items()): if len(i_idx_list) > 1: #destroying this output invalidates multiple inputs raise NotImplementedError() @@ -845,7 +845,7 @@ self.clients[new_r][app] += 1 #UPDATE self.view_i, self.view_o - for o_idx, i_idx_list in getattr(app.op, 'view_map', OrderedDict()).items(): + for o_idx, i_idx_list in list(getattr(app.op, 'view_map', OrderedDict()).items()): if len(i_idx_list) > 1: #destroying this output invalidates multiple inputs raise NotImplementedError() @@ -913,7 +913,7 @@ # add destroyed variable clients as computational dependencies for app in self.destroyers: # for each destroyed input... - for output_idx, input_idx_list in app.op.destroy_map.items(): + for output_idx, input_idx_list in list(app.op.destroy_map.items()): destroyed_idx = input_idx_list[0] destroyed_variable = app.inputs[destroyed_idx] root = droot[destroyed_variable] @@ -976,8 +976,8 @@ # depend on destroyed_input root_clients = OrderedSet() for r in root_impact: - assert not [a for a, c in self.clients[r].items() if not c] - root_clients.update([a for a, c in self.clients[r].items() if c]) + assert not [a for a, c in list(self.clients[r].items()) if not c] + root_clients.update([a for a, c in list(self.clients[r].items()) if c]) root_clients.remove(app) if root_clients: rval[app] = root_clients --- ./theano/gof/cutils.py (original) +++ ./theano/gof/cutils.py (refactored) @@ -4,7 +4,7 @@ from theano.compat import PY3 from theano.gof.compilelock import get_lock, release_lock from theano import config -import cmodule +from . import cmodule # TODO These two lines may be removed in the future, when we are 100% sure # noone has an old cutils_ext.so lying around anymore. --- ./theano/gof/compilelock.py (original) +++ ./theano/gof/compilelock.py (refactored) @@ -253,7 +253,7 @@ # We got the lock, hoorray! return - except Exception, e: + except Exception as e: # If something wrong happened, we try again. _logger.warning("Something wrong happened: %s %s", type(e), e) nb_error += 1 --- ./theano/gof/compiledir.py (original) +++ ./theano/gof/compiledir.py (refactored) @@ -1,4 +1,4 @@ -import cPickle +import pickle import errno import logging import os @@ -116,8 +116,8 @@ " or listing permissions." % path) else: try: - os.makedirs(path, 0770) # read-write-execute for user and group - except OSError, e: + os.makedirs(path, 0o770) # read-write-execute for user and group + except OSError as e: # Maybe another parallel execution of theano was trying to create # the same directory at the same time. if e.errno != errno.EEXIST: @@ -202,7 +202,7 @@ file = open(filename, 'rb') #print file try: - keydata = cPickle.load(file) + keydata = pickle.load(file) for key in list(keydata.keys): have_npy_abi_version = False have_c_compiler = False @@ -212,7 +212,7 @@ #force the removing of key have_npy_abi_version = False break - elif isinstance(obj, basestring): + elif isinstance(obj, str): if obj.startswith('NPY_ABI_VERSION=0x'): have_npy_abi_version = True elif obj.startswith('c_compiler_str='): @@ -232,7 +232,7 @@ if keydata.key_pkl != filename: keydata.key_pkl = filename keydata.remove_key(key) - except IOError, e: + except IOError as e: _logger.error( "Could not remove file '%s'. To complete " "the clean-up, please remove manually " @@ -273,7 +273,7 @@ try: filename = os.path.join(compiledir, dir, "key.pkl") file = open(filename, 'rb') - keydata = cPickle.load(file) + keydata = pickle.load(file) ops = list(set([x for x in flatten(keydata.keys) if isinstance(x, theano.gof.Op)])) if len(ops) == 0: @@ -298,46 +298,46 @@ if file is not None: file.close() - print "List of %d compiled individual ops in this theano cache %s:" % ( - len(table), compiledir) - print "sub directory/Op/a set of the different associated Theano type" + print("List of %d compiled individual ops in this theano cache %s:" % ( + len(table), compiledir)) + print("sub directory/Op/a set of the different associated Theano type") table = sorted(table, key=lambda t: str(t[1])) table_op_class = {} for dir, op, types in table: - print dir, op, types + print(dir, op, types) table_op_class.setdefault(op.__class__, 0) table_op_class[op.__class__] += 1 - print - print ("List of %d individual compiled Op classes and " - "the number of times they got compiled" % len(table_op_class)) - table_op_class = sorted(table_op_class.iteritems(), key=lambda t: t[1]) + print() + print(("List of %d individual compiled Op classes and " + "the number of times they got compiled" % len(table_op_class))) + table_op_class = sorted(iter(table_op_class.items()), key=lambda t: t[1]) for op_class, nb in table_op_class: - print op_class, nb + print(op_class, nb) if big_key_files: big_key_files = sorted(big_key_files, key=lambda t: str(t[1])) big_total_size = sum([size for dir, size, ops in big_key_files]) - print ("There are directories with key files bigger than %d bytes " + print(("There are directories with key files bigger than %d bytes " "(they probably contain big tensor constants)" % - max_key_file_size) - print ("They use %d bytes out of %d (total size used by all key files)" - "" % (big_total_size, total_key_sizes)) + max_key_file_size)) + print(("They use %d bytes out of %d (total size used by all key files)" + "" % (big_total_size, total_key_sizes))) for dir, size, ops in big_key_files: - print dir, size, ops - - nb_keys = sorted(nb_keys.iteritems()) - print - print "Number of keys for a compiled module" - print "number of keys/number of modules with that number of keys" + print(dir, size, ops) + + nb_keys = sorted(nb_keys.items()) + print() + print("Number of keys for a compiled module") + print("number of keys/number of modules with that number of keys") for n_k, n_m in nb_keys: - print n_k, n_m - - print ("Skipped %d files that contained more than" - " 1 op (was compiled with the C linker)" % more_than_one_ops) - print ("Skipped %d files that contained 0 op " - "(are they always theano.scalar ops?)" % zeros_op) + print(n_k, n_m) + + print(("Skipped %d files that contained more than" + " 1 op (was compiled with the C linker)" % more_than_one_ops)) + print(("Skipped %d filesRefactoringTool: Refactored ./theano/gof/cmodule.py that contained 0 op " + "(are they always theano.scalar ops?)" % zeros_op)) def compiledir_purge(): @@ -356,18 +356,18 @@ subdirs = sorted(subdirs) others = sorted(others) - print 'Base compile dir is %s' % theano.config.base_compiledir - print 'Sub-directories (possible compile caches):' + print('Base compile dir is %s' % theano.config.base_compiledir) + print('Sub-directories (possible compile caches):') for d in subdirs: - print ' %s' % d + print(' %s' % d) if not subdirs: - print ' (None)' + print(' (None)') if others: - print - print 'Other files in base_compiledir:' + print() + print('Other files in base_compiledir:') for f in others: - print ' %s' % f + print(' %s' % f) def basecompiledir_purge(): --- ./theano/gof/cmodule.py (original) +++ ./theano/gof/cmodule.py (refactored) @@ -1,7 +1,7 @@ """Generate and compile C modules for Python, """ import atexit -import cPickle +import pickle import logging import operator import os @@ -85,7 +85,7 @@ setattr(debug_counter, name, getattr(debug_counter, name, 0) + 1) n = getattr(debug_counter, name) if n % every == 0: - print >>sys.stderr, "debug_counter [%s]: %s" % (name, n) + print("debug_counter [%s]: %s" % (name, n), file=sys.stderr) class ExtFunction(object): @@ -146,15 +146,15 @@ self.init_blocks = [] def print_methoddef(self, stream): - print >> stream, "static PyMethodDef MyMethods[] = {" + print("static PyMethodDef MyMethods[] = {", file=stream) for f in self.functions: - print >> stream, f.method_decl(), ',' - print >> stream, "\t{NULL, NULL, 0, NULL}" - print >> stream, "};" + print(f.method_decl(), ',', file=stream) + print("\t{NULL, NULL, 0, NULL}", file=stream) + print("};", file=stream) def print_init(self, stream): if PY3: - print >> stream, """\ + print("""\ static struct PyModuleDef moduledef = {{ PyModuleDef_HEAD_INIT, "{name}", @@ -162,21 +162,21 @@ -1, MyMethods, }}; -""".format(name=self.hash_placeholder) - print >> stream, ("PyMODINIT_FUNC PyInit_%s(void) {" % - self.hash_placeholder) +""".format(name=self.hash_placeholder), file=stream) + print(("PyMODINIT_FUNC PyInit_%s(void) {" % + self.hash_placeholder), file=stream) for block in self.init_blocks: - print >> stream, ' ', block - print >> stream, " PyObject *m = PyModule_Create(&moduledef);" - print >> stream, " return m;" + print(' ', block, file=stream) + print(" PyObject *m = PyModule_Create(&moduledef);", file=stream) + print(" return m;", file=stream) else: - print >> stream, ("PyMODINIT_FUNC init%s(void){" % - self.hash_placeholder) + print(("PyMODINIT_FUNC init%s(void){" % + self.hash_placeholder), file=stream) for block in self.init_blocks: - print >> stream, ' ', block - print >> stream, ' ', ('(void) Py_InitModule("%s", MyMethods);' - % self.hash_placeholder) - print >> stream, "}" + print(' ', block, file=stream) + print(' ', ('(void) Py_InitModule("%s", MyMethods);' + % self.hash_placeholder), file=stream) + print("}", file=stream) def add_include(self, str): assert not self.finalized @@ -201,25 +201,25 @@ if not inc: continue if inc[0] == '<' or inc[0] == '"': - print >> sio, "#include", inc + print("#include", inc, file=sio) else: - print >> sio, '#include "%s"' % inc - - print >> sio, "//////////////////////" - print >> sio, "//// Support Code" - print >> sio, "//////////////////////" + print('#include "%s"' % inc, file=sio) + + print("//////////////////////", file=sio) + print("//// Support Code", file=sio) + print("//////////////////////", file=sio) for sc in self.support_code: - print >> sio, sc - - print >> sio, "//////////////////////" - print >> sio, "//// Functions" - print >> sio, "//////////////////////" + print(sc, file=sio) + + print("//////////////////////", file=sio) + print("//// Functions", file=sio) + print("//////////////////////", file=sio) for f in self.functions: - print >> sio, f.code_block - - print >> sio, "//////////////////////" - print >> sio, "//// Module init" - print >> sio, "//////////////////////" + print(f.code_block, file=sio) + + print("//////////////////////", file=sio) + print("//// Module init", file=sio) + print("//////////////////////", file=sio) self.print_methoddef(sio) self.print_init(sio) @@ -235,7 +235,7 @@ def list_code(self, ofile=sys.stdout): """Print out the code with line numbers to `ofile` """ for i, line in enumerate(self.code().split('\n')): - print >> ofile, ('%4i' % (i + 1)), line + print(('%4i' % (i + 1)), line, file=ofile) ofile.flush() #TODO: add_type @@ -362,10 +362,10 @@ # it changes, then the module hash should be different. # We start with the source code itself (stripping blanks might avoid # recompiling after a basic indentation fix for instance). - to_hash = map(str.strip, src_code.split('\n')) + to_hash = list(map(str.strip, src_code.split('\n'))) # Get the version part of the key (ignore if unversioned). if key[0]: - to_hash += map(str, key[0]) + to_hash += list(map(str, key[0])) c_link_key = key[1] # Currently, in order to catch potential bugs early, we are very # convervative about the structure of the key and raise an exception @@ -385,7 +385,7 @@ # This should be the C++ compilation command line parameters or the # libraries to link against. to_hash += list(key_element) - elif isinstance(key_element, basestring): + elif isinstance(key_element, str): if key_element.startswith('md5:'): # This is the md5 hash of the config options. We can stop # here. @@ -418,7 +418,7 @@ # Find the md5 hash part. c_link_key = key[1] for key_element in c_link_key[1:]: - if (isinstance(key_element, basestring) + if (isinstance(key_element, str) and key_element.startswith('md5:')): md5 = key_element[4:] break @@ -469,9 +469,9 @@ """ # Note that writing in binary mode is important under Windows. try: - cPickle.dump(self, open(self.key_pkl, 'wb'), - protocol=cPickle.HIGHEST_PROTOCOL) - except cPickle.PicklingError: + pickle.dump(self, open(self.key_pkl, 'wb'), + protocol=pickle.HIGHEST_PROTOCOL) + except pickle.PicklingError: _logger.warning("Cache leak due to unpickle-able key data %s", self.keys) os.remove(self.key_pkl) @@ -499,7 +499,7 @@ del entry_from_key[key] if do_manual_check: to_del = [] - for key, key_entry in entry_from_key.iteritems(): + for key, key_entry in entry_from_key.items(): if key_entry == entry: to_del.append(key) for key in to_del: @@ -671,7 +671,7 @@ "unpickle cache file %s", key_pkl) try: - key_data = cPickle.load(open(key_pkl, 'rb')) + key_data = pickle.load(open(key_pkl, 'rb')) except EOFError: # Happened once... not sure why (would be worth # investigating if it ever happens again). @@ -818,7 +818,7 @@ del root, dirs, files # Remove entries that are not in the filesystem. - items_copy = list(self.module_hash_to_key_data.iteritems()) + items_copy = list(self.module_hash_to_key_data.items()) for module_hash, key_data in items_copy: entry = key_data.get_entry() try: @@ -924,7 +924,7 @@ # (cannot do try / except / finally). try: location = dlimport_workdir(self.dirname) - except OSError, e: + except OSError as e: _logger.error(e) if e.errno == 31: _logger.error('There are %i files in %s', @@ -968,7 +968,7 @@ try: key_data.add_key(key, save_pkl=bool(_version)) key_broken = False - except cPickle.PicklingError: + except pickle.PicklingError: # This should only happen if we tried to save the # pickled file. assert _version @@ -1027,7 +1027,7 @@ try: key_data.save_pkl() key_broken = False - except cPickle.PicklingError: + except pickle.PicklingError: key_broken = True # Remove key from the KeyData object, to make # sure we never try to save it again. @@ -1117,7 +1117,7 @@ # Verify that when we reload the KeyData from the pickled file, the # same key can be found in it, and is not equal to more than one # other key. - key_data = cPickle.load(open(key_pkl, 'rb')) + key_data = pickle.load(open(key_pkl, 'rb')) found = sum(key == other_key for other_key in key_data.keys) msg = '' if found == 0: @@ -1278,7 +1278,7 @@ min_age = self.age_thresh_del_unversioned compilelock.get_lock() - all_key_datas = self.module_hash_to_key_data.values() + all_key_datas = list(self.module_hash_to_key_data.values()) try: for key_data in all_key_datas: if not key_data.keys: @@ -1382,7 +1382,7 @@ log_msg += ' (%s)' % msg _logger.log(level, '%s: %s', log_msg, parent) shutil.rmtree(parent) - except Exception, e: + except Exception as e: # If parent still exists, mark it for deletion by a future refresh() _logger.debug('In _rmtree, encountered exception: %s(%s)', type(e), e) @@ -1390,7 +1390,7 @@ try: _logger.info('placing "delete.me" in %s', parent) open(os.path.join(parent, 'delete.me'), 'w').close() - except Exception, ee: + except Exception as ee: _logger.warning("Failed to remove or mark cache directory %s " "for removal %s", parent, ee) @@ -1470,10 +1470,10 @@ for f, lib in [('libpython27.a', 'libpython 1.2'), ('libmsvcr90.a', 'mingw 4.5.2')]: if not os.path.exists(os.path.join(libdir, f)): - print ("Your Python version is from Canopy. " + + print(("Your Python version is from Canopy. " + "You need to install the package '" + lib + "' from Canopy package manager." - ) + )) python_lib_dirs.insert(0, libdir) return [libname], python_RefactoringTool: Refactored ./theano/gof/cc.py lib_dirs @@ -1823,7 +1823,7 @@ finally: os.remove(path) - except OSError, e: + except OSError as e: compilation_ok = False if not try_run: @@ -1940,10 +1940,10 @@ def print_command_line_error(): # Print command line when a problem occurred. - print >> sys.stderr, ( + print(( "Problem occurred during compilation with the " - "command line below:") - print >> sys.stderr, ' '.join(cmd) + "command line below:"), file=sys.stderr) + print(' '.join(cmd), file=sys.stderr) try: p = call_subprocess_Popen(cmd, stderr=subprocess.PIPE) @@ -1956,14 +1956,14 @@ status = p.returncode if status: - print '===============================' + print('===============================') for i, l in enumerate(src_code.split('\n')): #gcc put its messages to stderr, so we add ours now - print >> sys.stderr, '%05i\t%s' % (i + 1, l) - print '===============================' + print('%05i\t%s' % (i + 1, l), file=sys.stderr) + print('===============================') print_command_line_error() # Print errors just below the command line. - print compile_stderr + print(compile_stderr) # We replace '\n' by '. ' in the error message because when Python # prints the exception, having '\n' in the text makes it more # difficult to read. @@ -1971,7 +1971,7 @@ (status, compile_stderr.replace('\n', '. '))) elif config.cmodule.compilation_warning and compile_stderr: # Print errors just below the command line. - print compile_stderr + print(compile_stderr) if py_module: #touch the __init__ file --- ./theano/gof/cc.py (original) +++ ./theano/gof/cc.py (refactored) @@ -6,7 +6,7 @@ from copy import copy import os import sys -from itertools import izip + import numpy @@ -628,7 +628,7 @@ pass else: # The following will be executed if the "try" block succeeds - assert isinstance(c_support_code_apply[-1], basestring), ( + assert isinstance(c_support_code_apply[-1], str), ( str(node.op) + " didn't returned a string for c_support_code_apply") @@ -637,7 +637,7 @@ behavior = op.c_code(node, name, isyms, osyms, sub) except utils.MethodNotDefined: raise NotImplementedError("%s cannot produce C code" % op) - assert isinstance(behavior, basestring), ( + assert isinstance(behavior, str), ( str(node.op) + " didn't returned a string for c_code") try: @@ -679,10 +679,10 @@ self.c_support_code_apply = c_support_code_apply if (self.init_tasks, self.tasks) != self.get_init_tasks(): - print >> sys.stderr, "init_tasks\n", self.init_tasks - print >> sys.stderr, self.get_init_tasks()[0] - print >> sys.stderr, "tasks\n", self.tasks - print >> sys.stderr, self.get_init_tasks()[1] + print("init_tasks\n", self.init_tasks, file=sys.stderr) + print(self.get_init_tasks()[0], file=sys.stderr) + print("tasks\n", self.tasks, file=sys.stderr) + print(self.get_init_tasks()[1], file=sys.stderr) assert (self.init_tasks, self.tasks) == self.get_init_tasks() # List of indices that should be ignored when passing the arguments @@ -891,9 +891,9 @@ keep_lock=keep_lock) return (thunk, [link.Container(input, storage) for input, storage in - izip(self.fgraph.inputs, input_storage)], + zip(self.fgraph.inputs, input_storage)], [link.Container(output, storage, True) for output, storage in - izip(self.fgraph.outputs, output_storage)], + zip(self.fgraph.outputs, output_storage)], error_storage) def get_init_tasks(self): @@ -1235,7 +1235,7 @@ lib_dirs=self.lib_dirs(), libs=libs, preargs=preargs) - except Exception, e: + except Exception as e: e.args += (str(self.fgraph),) raise finally: @@ -1340,26 +1340,26 @@ def instantiate_code(self, n_args): code = StringIO() struct_name = self.struct_name - print >> code, "static PyObject * instantiate(PyObject * self, PyObject *argtuple) {" - print >> code, ' assert(PyTuple_Check(argtuple));' - print >> code, ' if (%(n_args)i != PyTuple_Size(argtuple)){ ' % locals() - print >> code, ' PyErr_Format(PyExc_TypeError, "Wrong number of arguments, expected %(n_args)i, got %%i", (int)PyTuple_Size(argtuple));' % locals() - print >> code, ' return NULL;' - print >> code, ' }' - print >> code, ' %(struct_name)s* struct_ptr = new %(struct_name)s();' % locals() - print >> code, ' struct_ptr->init(', ','.join('PyTuple_GET_ITEM(argtuple, %i)' % n for n in xrange(n_args)), ');' + print("static PyObject * instantiate(PyObject * self, PyObject *argtuple) {", file=code) + print(' assert(PyTuple_Check(argtuple));', file=code) + print(' if (%(n_args)i != PyTuple_Size(argtuple)){ ' % locals(), file=code) + print(' PyErr_Format(PyExc_TypeError, "Wrong number of arguments, expected %(n_args)i, got %%i", (int)PyTuple_Size(argtuple));' % locals(), file=code) + print(' return NULL;', file=code) + print(' }', file=code) + print(' %(struct_name)s* struct_ptr = new %(struct_name)s();' % locals(), file=code) + print(' struct_ptr->init(', ','.join('PyTuple_GET_ITEM(argtuple, %i)' % n for n in range(n_args)), ');', file=code) if PY3: - print >> code, """\ + print("""\ PyObject* thunk = PyCapsule_New((void*)(&{struct_name}_executor), NULL, {struct_name}_destructor); if (thunk != NULL && PyCapsule_SetContext(thunk, struct_ptr) != 0) {{ PyErr_Clear(); Py_DECREF(thunk); thunk = NULL; }} -""".format(**locals()) +""".format(**locals()), file=code) else: - print >> code, ' PyObject* thunk = PyCObject_FromVoidPtrAndDesc((void*)(&%(struct_name)s_executor), struct_ptr, %(struct_name)s_destructor);' % locals() - print >> code, " return thunk; }" + print(' PyObject* thunk = PyCObject_FromVoidPtrAndDesc((void*)(&%(struct_name)s_executor), struct_ptr, %(struct_name)s_destructor);' % locals(), file=code) + print(" return thunk; }", file=code) return code.getvalue() @@ -1415,12 +1415,12 @@ exc_value = exc_type(_exc_value) exc_value.__thunk_trace__ = trace except Exception: - print >> sys.stderr, ('ERROR retrieving error_storage.' - ' Was the error set in the c code?'), - print >> sys.stderr, self.error_storage + print(('ERROR retrieving error_storage.' + ' Was the error set in the c code?'), end=' ', file=sys.stderr) + print(self.error_storage, file=sys.stderr) raise - raise exc_type, exc_value, exc_trace + raise exc_type(exc_value).with_traceback(exc_trace) class OpWiseCLinker(link.LocalLinker): @@ -1531,7 +1531,7 @@ node == last_user[input])]) if no_recycling is True: - no_recycling = storage_map.values() + no_recycling = list(storage_map.values()) no_recycling = utils.difference(no_recycling, input_storage) else: no_recycling =RefactoringTool: Refactored ./theano/gof/callcache.py RefactoringTool: No changes to ./theano/gof/__init__.py RefactoringTool: No changes to ./theano/generated_version.py RefactoringTool: Refactored ./theano/configparser.py RefactoringTool: No changes to ./theano/configdefaults.py RefactoringTool: No changes to ./theano/compile/tests/test_shared.py RefactoringTool: Refactored ./theano/compile/tests/test_pfunc.py [storage_map[r] @@ -1552,9 +1552,9 @@ return (f, [link.Container(input, storage) - for input, storage in izip(fgraph.inputs, input_storage)], + for input, storage in zip(fgraph.inputs, input_storage)], [link.Container(output, storage, True) - for output, storage in izip(fgraph.outputs, output_storage)], + for output, storage in zip(fgraph.outputs, output_storage)], thunks, order) @@ -1634,23 +1634,23 @@ no_recycling=no_recycling).make_all(**kwargs)) def f(): - for input1, input2 in izip(i1, i2): + for input1, input2 in zip(i1, i2): # Set the inputs to be the same in both branches. # The copy is necessary in order for inplace ops not to # interfere. input2.storage[0] = copy(input1.storage[0]) - for thunk1, thunk2, node1, node2 in izip(thunks1, thunks2, + for thunk1, thunk2, node1, node2 in zip(thunks1, thunks2, order1, order2): - for output, storage in izip(node1.outputs, thunk1.outputs): + for output, storage in zip(node1.outputs, thunk1.outputs): if output in no_recycling: storage[0] = None - for output, storage in izip(node2.outputs, thunk2.outputs): + for output, storage in zip(node2.outputs, thunk2.outputs): if output in no_recycling: storage[0] = None try: thunk1() thunk2() - for output1, output2 in izip(thunk1.outputs, + for output1, output2 in zip(thunk1.outputs, thunk2.outputs): self.checker(output1, output2) except Exception: --- ./theano/gof/callcache.py (original) +++ ./theano/gof/callcache.py (refactored) @@ -1,4 +1,4 @@ -import cPickle, logging +import pickle, logging _logger=logging.getLogger("theano.gof.callcache") @@ -9,7 +9,7 @@ if filename is None: raise IOError('bad filename') #just goes to except f = open(filename, 'r') - self.cache = cPickle.load(f) + self.cache = pickle.load(f) f.close() except IOError: self.cache = {} @@ -21,7 +21,7 @@ #backport #filename = self.filename if filename is None else filename f = open(filename, 'w') - cPickle.dump(self.cache, f) + pickle.dump(self.cache, f) f.close() def call(self, fn, args=(), key=None): @@ -41,5 +41,5 @@ try: if self.filename: self.persist() - except Exception, e: + except Exception as e: _logger.error('persist failed %s %s', self.filename, e) --- ./theano/configparser.py (original) +++ ./theano/configparser.py (refactored) @@ -125,10 +125,10 @@ def _config_print(thing, buf): for cv in _config_var_list: - print >> buf, cv - print >> buf, " Doc: ", cv.doc - print >> buf, " Value: ", cv.__get__() - print >> buf, "" + print(cv, file=buf) + print(" Doc: ", cv.doc, file=buf) + print(" Value: ", cv.__get__(), file=buf) + print("", file=buf) def get_config_md5(): @@ -295,7 +295,7 @@ # All options should be strings for val in self.all: - if not isinstance(val, basestring): + if not isinstance(val, str): raise ValueError('Valid values for an EnumStr parameter ' 'should be strings', val, type(val)) --- ./theano/compile/tests/test_pfunc.py (original) +++ ./theano/compile/tests/test_pfunc.py (refactored) @@ -77,7 +77,7 @@ try: pfunc([w], theano.tensor.sum(w * w)) RefactoringTool: Refactored ./theano/compile/tests/test_monitormode.py RefactoringTool: Refactored ./theano/compile/tests/test_module.py assert False - except TypeError, e: + except TypeError as e: msg = 'Cannot use a shared variable (w) as explicit input' if str(e).find(msg) < 0: raise --- ./theano/compile/tests/test_monitormode.py (original) +++ ./theano/compile/tests/test_monitormode.py (refactored) @@ -12,10 +12,10 @@ def detect_nan(i, node, fn): for output in fn.outputs: if numpy.isnan(output[0]).any(): - print '*** NaN detected ***' + print('*** NaN detected ***') theano.printing.debugprint(node) - print 'Inputs : %s' % [input[0] for input in fn.inputs] - print 'Outputs: %s' % [output[0] for output in fn.outputs] + print('Inputs : %s' % [input[0] for input in fn.inputs]) + print('Outputs: %s' % [output[0] for output in fn.outputs]) nan_detected[0] = True break @@ -36,10 +36,10 @@ def detect_nan(i, node, fn): for output in fn.outputs: if numpy.isnan(output[0]).any(): - print '*** NaN detected ***' + print('*** NaN detected ***') theano.printing.debugprint(node) - print 'Inputs : %s' % [input[0] for input in fn.inputs] - print 'Outputs: %s' % [output[0] for output in fn.outputs] + print('Inputs : %s' % [input[0] for input in fn.inputs]) + print('Outputs: %s' % [output[0] for output in fn.outputs]) nan_detected[0] = True break @@ -65,10 +65,10 @@ def detect_nan(i, node, fn): for output in fn.outputs: if numpy.isnan(output[0]).any(): - print '*** NaN detected ***' + print('*** NaN detected ***') theano.printing.debugprint(node) - print 'Inputs : %s' % [input[0] for input in fn.inputs] - print 'Outputs: %s' % [output[0] for output in fn.outputs] + print('Inputs : %s' % [input[0] for input in fn.inputs]) + print('Outputs: %s' % [output[0] for output in fn.outputs]) nan_detected[0] = True break --- ./theano/compile/tests/test_module.py (original) +++ ./theano/compile/tests/test_module.py (refactored) @@ -3,7 +3,7 @@ __docformat__ = "restructuredtext en" -import cPickle, numpy, unittest +import pickle, numpy, unittest from theano import config from theano.compat import exc_message @@ -116,7 +116,7 @@ inst.tdy[0]['y']=-6 inst.ddx['x']['x']=-7 inst.ddy['y']['y']=-8 - for i,j in zip(get_l2(),range(len(get_l2()))): + for i,j in zip(get_l2(),list(range(len(get_l2())))): i[0]=j assert inst.x==-1 assert inst.y==-2 @@ -126,7 +126,7 @@ assert inst.tdy[0]['y']==-6 assert inst.ddx['x']['x']==-7 assert inst.ddy['y']['y']==-8 - for i,j in zip(get_l2(),range(len(get_l2()))): + for i,j in zip(get_l2(),list(range(len(get_l2())))): assert i[0]==j local_test(lambda:T.dscalar(),lambda:T.dscalar()) @@ -490,7 +490,7 @@ try: m.a = [4, 5, 6] assert False - except Exception, e: + except Exception as e: if exc_message(e).startswith("Cannot set readonly"): pass else: @@ -499,7 +499,7 @@ try: m.a[0] = 4 assert False - except Exception, e: + except Exception as e: if exc_message(e).startswith("Cannot set readonly"): pass else: @@ -515,7 +515,7 @@ try: m.a[0] = 4 assert False - except Exception, e: + except Exception as e: if exc_message(e).startswith("Cannot set readonly"): pass else: @@ -635,7 +635RefactoringTool: No changes to ./theano/compile/tests/test_modes.py RefactoringTool: No changes to ./theano/compile/tests/test_misc.py RefactoringTool: Refactored ./theano/compile/tests/test_inplace_opt_for_value.py RefactoringTool: Refactored ./theano/compile/tests/test_function_module.py ,7 @@ try: m = M.make() assert False - except ValueError, e: + except ValueError as e: if str(exc_message(e)).startswith('Variable listed in both inputs and up'): pass else: @@ -668,7 +668,7 @@ try: m.f(0, 0) assert False - except TypeError, e: + except TypeError as e: if not str(e).startswith('Tried to provide value for implicit input'): raise @@ -690,7 +690,7 @@ mode = get_mode() m = M.make(x=numpy.zeros((4,5)), y=numpy.ones((2,3)), mode=mode) - m_dup = cPickle.loads(cPickle.dumps(m, protocol=-1)) + m_dup = pickle.loads(pickle.dumps(m, protocol=-1)) assert numpy.all(m.x == m_dup.x) and numpy.all(m.y == m_dup.y) @@ -731,7 +731,7 @@ try: m.f.pickle_aliased_memory_strategy = 'warn' m.g.pickle_aliased_memory_strategy = 'warn' - m_dup = cPickle.loads(cPickle.dumps(m, protocol=-1)) + m_dup = pickle.loads(pickle.dumps(m, protocol=-1)) assert sio.getvalue().startswith('aliased relat') finally: logging.getLogger('theano.compile.function_module').removeHandler(handler) @@ -740,8 +740,8 @@ try: m.f.pickle_aliased_memory_strategy = 'raise' m.g.pickle_aliased_memory_strategy = 'raise' - m_dup = cPickle.loads(cPickle.dumps(m, protocol=-1)) - except AliasedMemoryError, e: + m_dup = pickle.loads(pickle.dumps(m, protocol=-1)) + except AliasedMemoryError as e: return assert 0 #should have failed to pickle @@ -752,7 +752,7 @@ #m's memory is aliased differently.... m.y = m.x[1:2] - m_dup = cPickle.loads(cPickle.dumps(m, protocol=-1)) + m_dup = pickle.loads(pickle.dumps(m, protocol=-1)) if 0: #is m_dup's memory aliased the same way? --- ./theano/compile/tests/test_inplace_opt_for_value.py (original) +++ ./theano/compile/tests/test_inplace_opt_for_value.py (refactored) @@ -112,7 +112,7 @@ T,M = x.shape z = N.zeros((T+1, M)) z[0] = z0 - for i in xrange(T): + for i in range(T): z[i+1] = N.tanh(N.dot(z[i], A) + x[i]) out[0][0] = z @@ -145,7 +145,7 @@ T = Tp1 - 1 gx = N.zeros((T, M)) - for i in xrange(T-1, -1, -1): + for i in range(T-1, -1, -1): #back through the tanh gx[i] = gz[i+1] * (1.0 - z[i+1] * z[i+1]) @@ -216,13 +216,13 @@ if 0: for i, node in enumerate(rnn.minimizer.step_cost.maker.fgraph.toposort()): - print i, node + print(i, node) niter=1500 if theano.config.mode=='DEBUG_MODE': niter=30 - for i in xrange(niter): + for i in range(niter): rnn.minimizer.step_cost(x, y) if theano.config.mode=='DEBUG_MODE': assert rnn.minimizer.step_cost(x,y) < -.9 #it starts around -.28 @@ -261,14 +261,14 @@ topo1=rnn1.minimizer.step_cost.maker.fgraph.toposort() topo2=rnn2.minimizer.step_cost.maker.fgraph.toposort() for i in range(len(topo1)): - print '1',i, topo1[i] - print '2',i, topo2[i] + print('1',i, topo1[i]) + print('2',i, topo2[i]) if 0: topo1=rnn1.minimizer.step.maker.fgraph.toposort() topo2=rnn2.minimizer.step.maker.fgraph.toposort() for i in range(len(topo1)): - print '1',i, topo1[i] - print '2',i, topo2[i] + print('1',i, topo1[i]) + print('2',i, topo2[i]) import theano.printing #print len(rnn1.minimizer.step.maker.inputs) @@ -289,7 +289,7 @@ niter=3 - for i in xrange(niter): + for i in range(niter): #print rnn1.minimizer.step_cost(x, y) #print rnn2.minimizer.step_cost(x, y) --- ./theano/compile/tests/test_function_module.py (original) +++ ./theano/compile/tests/test_function_module.py (refactored) @@ -1,5 +1,5 @@ import copy -import cPickle +import pickle import numpy import unittest @@ -23,7 +23,7 @@ def checkfor(testcase, fn, E): try: RefactoringTool: Refactored ./theano/compile/tests/test_debugmode.py fn() - except Exception, e: + except Exception as e: if isinstance(e, E): # we got the exception we wanted return @@ -405,7 +405,7 @@ try: g = copy.deepcopy(f) - except NotImplementedError, e: + except NotImplementedError as e: if e[0].startswith('DebugMode is not picklable'): return else: @@ -452,7 +452,7 @@ hc = copy.deepcopy(h, memo = memo) memo.update({id(h): hc}) fc = copy.deepcopy(f, memo = memo) - except NotImplementedError, e: + except NotImplementedError as e: if e[0].startswith('DebugMode is not picklable'): return else: @@ -471,9 +471,9 @@ try: # Note that here we also test protocol 0 on purpose, since it # should work (even though one should not use it). - g = cPickle.loads(cPickle.dumps(f, protocol=0)) - g = cPickle.loads(cPickle.dumps(f, protocol=-1)) - except NotImplementedError, e: + g = pickle.loads(pickle.dumps(f, protocol=0)) + g = pickle.loads(pickle.dumps(f, protocol=-1)) + except NotImplementedError as e: if e[0].startswith('DebugMode is not picklable'): return else: @@ -510,14 +510,14 @@ old_default_link = config.linker try: try: - str_f = cPickle.dumps(f, protocol=-1) + str_f = pickle.dumps(f, protocol=-1) config.mode = 'Mode' config.linker = 'py' config.optimizer = 'None' - g = cPickle.loads(str_f) + g = pickle.loads(str_f) #print g.maker.mode #print compile.mode.default_mode - except NotImplementedError, e: + except NotImplementedError as e: if e[0].startswith('DebugMode is not pickl'): g = 'ok' finally: @@ -570,9 +570,9 @@ # try to pickle the entire things try: - saved_format = cPickle.dumps(list_of_things, protocol=-1) - new_list_of_things = cPickle.loads(saved_format) - except NotImplementedError, e: + saved_format = pickle.dumps(list_of_things, protocol=-1) + new_list_of_things = pickle.loads(saved_format) + except NotImplementedError as e: if e[0].startswith('DebugMode is not picklable'): return else: @@ -634,18 +634,18 @@ from theano.compat import BytesIO fp = BytesIO() - p = cPickle.Pickler(fp, 2) + p = pickle.Pickler(fp, 2) p.persistent_id = pers_save try: p.dump(f) - except NotImplementedError, e: + except NotImplementedError as e: if exc_message(e).startswith('DebugMode is not picklable'): return else: raise fp2 = BytesIO(fp.getvalue()) fp.close() - p = cPickle.Unpickler(fp2) + p = pickle.Unpickler(fp2) p.persistent_load = pers_load f2 = p.load() fp2.close() @@ -657,7 +657,7 @@ try: blah2 = copy.deepcopy(blah) - except NotImplementedError, e: + except NotImplementedError as e: if e[0].startswith('DebugMode is not picklable'): return else: @@ -720,5 +720,5 @@ t = T_picklefunction() def fu(b): assert b - t.failUnless = fu + t.assertTrue = fu t.test_deepcopy_shared_container() --- ./theano/compile/tests/test_debugmode.py (original) +++ ./theano/compile/tests/test_debugmode.py (refactored) @@ -215,7 +215,7 @@ try: f_inconsistent([1.0, 2.0, 3.0], [2, 3, 4]) - except debugmode.BadThunkOutput, e: + except debugmode.BadThunkOutput as e: #print repr(e) assert e.r.owner.op is inconsistent return # TEST PASS RefactoringTool: No changes to ./theano/compile/tests/test_builders.py RefactoringTool: Refactored ./theano/compile/sharedvalue.py RefactoringTool: Refactored ./theano/compile/profiling.py @@ -241,7 +241,7 @@ try: f([1.0, 2.0, 3.0], [2, 3, 4],) - except debugmode.BadOptimization, e: + except debugmode.BadOptimization as e: assert str(e.reason) == 'insert_broken_add' return # TEST PASS @@ -500,7 +500,7 @@ try: f([1, 2, 3, 4], [5, 6, 7, 8]) assert False # DebugMode should have caught the error - except debugmode.BadViewMap, e: + except debugmode.BadViewMap as e: #print e pass --- ./theano/compile/sharedvalue.py (original) +++ ./theano/compile/sharedvalue.py (refactored) @@ -196,7 +196,7 @@ # This was done on purpose, the rationale being that if kwargs # were supplied, the user didn't want them to be ignored. - except MemoryError, e: + except MemoryError as e: e.args = e.args + ('you might consider' ' using \'theano.shared(..., borrow=True)\'',) raise --- ./theano/compile/profiling.py (original) +++ ./theano/compile/profiling.py (refactored) @@ -67,7 +67,7 @@ to_sum.append(ps) else: #TODO print the name if there is one! - print 'Skipping empty Profile' + print('Skipping empty Profile') if len(to_sum) > 1: # Make a global profile cum = copy.copy(to_sum[0]) @@ -82,7 +82,7 @@ for attr in ["apply_time", "apply_callcount", "apply_cimpl", "variable_shape", "variable_strides"]: cum_attr = getattr(cum, attr) - for key, val in getattr(ps, attr).iteritems(): + for key, val in getattr(ps, attr).items(): assert key not in cum_attr cum_attr[key] = val @@ -213,7 +213,7 @@ """dict op -> total time on thunks""" # timing is stored by node, we compute timing by class on demand rval = {} - for node, t in self.apply_time.items(): + for node, t in list(self.apply_time.items()): typ = type(node.op) rval.setdefault(typ, 0) rval[typ] += t @@ -223,7 +223,7 @@ """dict op -> total number of thunk calls""" # timing is stored by node, we compute timing by class on demand rval = {} - for node, count in self.apply_callcount.items(): + for node, count in list(self.apply_callcount.items()): typ = type(node.op) rval.setdefault(typ, 0) rval[typ] += count @@ -233,7 +233,7 @@ """dict op -> total number of nodes""" # timing is stored by node, we compute timing by class on demand rval = {} - for node, count in self.apply_callcount.items(): + for node, count in list(self.apply_callcount.items()): typ = type(node.op) rval.setdefault(typ, 0) rval[typ] += 1 @@ -258,7 +258,7 @@ """dict op -> total time on thunks""" # timing is stored by node, we compute timing by Op on demand rval = {} - for node, t in self.apply_time.items(): + for node, t in list(self.apply_time.items()): rval.setdefault(node.op, 0) rval[node.op] += t return rval @@ -267,7 +267,7 @@ """dict op -> total number of thunk calls""" # timing is stored by node, we compute timing by Op on demand rval = {} - for node, count in self.apply_callcount.items(): + for node, count in list(self.apply_callcount.items()): rval.setdefault(node.op, 0) rval[node.op] += count return rval @@ -276,7 +276,7 @@ """dict op -> total number of nodes""" # timing is stored by node, we compute timing by Op on demand rval = {} - for node, count in self.apply_callcount.items(): + for node, count in list(self.apply_callcount.items()): rval.setdefault(node.op, 0) rval[node.op] += 1 return rval @@ -298,8 +298,8 @@ else: local_time = 0 if local_time == 0: - print >> file, ('ProfileMode.summary_class: total time 0' - ' (did you forget to enable counters?)') + print(('ProfileMode.summary_class: total time 0' + ' (did you forget to enable counters?)'), file=file) return class_time = self.class_time() class_call = self.class_callcount() @@ -313,12 +313,12 @@ class_impl.get(clas, ' '), class_call.get(clas, 0), class_apply.get(clas, 0)) - for clas, t in class_time.items()] + for clas, t in list(class_time.items())] otimes.sort() otimes.reverse() tot = 0 - print >> file, 'Class' - print >> file, '---' + print('Class', file=file) + print('---', file=file) #print >> file, '<% time> ,' #print >>file, ' ' #print >>file, '' @@ -354,7 +354,7 @@ header_str = ' '.join(hs) format_str = ' '.join(es) - print >> file, header_str + print(header_str, file=file) for f, t, a, impl, nb_call, nb_apply in otimes[:N]: if nb_call == 0: @@ -362,17 +362,17 @@ continue tot += t ftot = tot * 100 / local_time - print >> file, format_str % (f, ftot, t, t / nb_call, + print(format_str % (f, ftot, t, t / nb_call, impl, nb_call, - nb_apply, str(a)[:maxlen]) + nb_apply, str(a)[:maxlen]), file=file) # While this carries over less information, it is arranged such # that it way more readeable that the previous output of the # profiler - print >>file, ' ... (remaining %i Classes account for %6.2f%%(%.2fs) of the runtime)'\ + print(' ... (remaining %i Classes account for %6.2f%%(%.2fs) of the runtime)'\ % (max(0, len(otimes) - N), sum(f for f, t, a, ci, nb_call, nb_op in otimes[N:]), - sum(t for f, t, a, ci, nb_call, nb_op in otimes[N:])) - print >> file, '' + sum(t for f, t, a, ci, nb_call, nb_op in otimes[N:])), file=file) + print('', file=file) def summary_ops(self, file=sys.stderr, N=None): if self.apply_time: @@ -380,8 +380,8 @@ else: local_time = 0 if local_time == 0: - print >> file, ('ProfileMode.summary_ops: total time 0' - ' (did you forget to enable counters?)') + print(('ProfileMode.summary_ops: total time 0' + ' (did you forget to enable counters?)'), file=file) return op_time = self.op_time() op_call = self.op_callcount() @@ -393,12 +393,12 @@ op_impl.get(op, ' '), op_call.get(op, 0), op_apply.get(op, 0)) - for op, t in op_time.items()] + for op, t in list(op_time.items())] otimes.sort() otimes.reverse() tot = 0 - print >> file, 'Ops' - print >> file, '---' + print('Ops', file=file) + print('---', file=file) #print >> file, '<% time> ,' #print >>file, ' ' #print >>file, '' @@ -434,7 +434,7 @@ header_str = ' '.join(hs) format_str = ' '.join(es) - print >> file, header_str + print(header_str, file=file) for f, t, a, impl, nb_call, nb_apply in otimes[:N]: if nb_call == 0: @@ -442,17 +442,17 @@ continue tot += t ftot = tot * 100 / local_time - print >> file, format_str % (f, ftot, t, t / nb_call, + print(format_str % (f, ftot, t, t / nb_call, impl, nb_call, - nb_apply, str(a)[:maxlen]) + nb_apply, str(a)[:maxlen]), file=file) # While this carries over less information, it is arranged such # that it way more readeable that the previous output of the # profiler - print >>file, ' ... (remaining %i Ops account for %6.2f%%(%.2fs) of the runtime)'\ + print(' ... (remaining %i Ops account for %6.2f%%(%.2fs) of the runtime)'\ % (max(0, len(otimes) - N), sum(f for f, t, a, ci, nb_call, nb_op in otimes[N:]), - sum(t for f, t, a, ci, nb_call, nb_op in otimes[N:])) - print >> file, '' + sum(t for f, t, a, ci, nb_call, nb_op in otimes[N:])), file=file) + print('', file=file) def summary_nodes(self, file=sys.stderr, N=None): if self.apply_time: @@ -460,12 +460,12 @@ else: local_time = 0 if local_time == 0: - print >> file, ('ProfileMode.summary_nodes: total time 0' - ' (did you forget to enable counters?)') + print(('ProfileMode.summary_nodes: total time 0' + ' (did you forget to enable counters?)'), file=file) return - print >> file, 'Apply' - print >> file, '------' + print('Apply', file=file) + print('------', file=file) #print >> file, '<% time> ' # headers hs = [] @@ -502,7 +502,7 @@ header_str = ' '.join(hs) format_str = ' '.join(es) - print >> file, header_str + print(header_str, file=file) atimes = [( t * 100 / local_time, @@ -510,7 +510,7 @@ a, a.fgraph.toposort().index(a), self.apply_callcount[a]) - for a, t in self.apply_time.items()] + for a, t in list(self.apply_time.items())] atimes.sort() atimes.reverse() tot = 0 @@ -532,55 +532,55 @@ else: flops = " " flops_s = " " - print >> file, format_str %(f, ftot, t, t / nb_call, nb_call, + print(format_str %(f, ftot, t, t / nb_call, nb_call, nd_id, flops, flops_s, - str(a)[:maxlen]) + str(a)[:maxlen]), file=file) if not config.profile_memory: continue for idx, var in enumerate(a.inputs): sh = self.variable_shape.get(var, 'no shape') st = self.variable_strides.get(var, 'no strides') dtype = getattr(var, 'dtype', 'no dtype') - print >> file, " input %d: dtype=%s, shape=%s, strides=%s " % ( - idx, dtype, sh, st) + print(" input %d: dtype=%s, shape=%s, strides=%s " % ( + idx, dtype, sh, st), file=file) for idx, var in enumerate(a.outputs): sh = self.variable_shape.get(var, 'no shape') st = self.variable_strides.get(var, 'no strides') dtype = getattr(var, 'dtype', 'no dtype') - print >> file, " output %d: dtype=%s, shape=%s, strides=%s " % ( - idx, dtype, sh, st) + print(" output %d: dtype=%s, shape=%s, strides=%s " % ( + idx, dtype, sh, st), file=file) # Same as before, this I've sacrificied some information making # the output more readable #print >> file, ' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %i %s'%( # f, ftot, t, tot, t/nb_call,nb_call, str(a)) - print >> file, ' ... (remaining %i Apply instances account for %.2f%%(%.2fs) of the runtime)'\ + print(' ... (remaining %i Apply instances account for %.2f%%(%.2fs) of the runtime)'\ % (max(0, len(atimes) - N), sum(f for f, t, a, nd_id, nb_call in atimes[N:]), - sum(t for f, t, a, nd_id, nb_call in atimes[N:])) - print >> file, '' + sum(t for f, t, a, nd_id, nb_call in atimes[N:])), file=file) + print('', file=file) def summary_function(self, file): - print >> file, 'Function profiling' - print >> file, '==================' - print >> file, ' Message: %s' % self.message - print >> file, ' Time in %i calls to Function.__call__: %es' % ( - self.fct_callcount, self.fct_call_time) + print('Function profiling', file=file) + print('==================', file=file) + print(' Message: %s' % self.message, file=file) + print(' Time in %i calls to Function.__call__: %es' % ( + self.fct_callcount, self.fct_call_time), file=file) if self.fct_call_time > 0: - print >> file, ' Time in Function.fn.__call__: %es (%.3f%%)' % ( + print(' Time in Function.fn.__call__: %es (%.3f%%)' % ( self.vm_call_time, - 100 * self.vm_call_time / self.fct_call_time) + 100 * self.vm_call_time / self.fct_call_time), file=file) local_time = sum(self.apply_time.values()) if local_time > 0: - print >> file, ' Time in thunks: %es (%.3f%%)' % ( - local_time, 100*local_time / self.fct_call_time) - print >> file, ' Total compile time: %es' % self.compile_time - print >> file, ' Theano Optimizer time: %es' % self.optimizer_time - print >> file, ' Theano validate time: %es' % self.validate_time - print >> file, (' Theano Linker time (includes C,' + print(' Time in thunks: %es (%.3f%%)' % ( + local_time, 100*local_time / self.fct_call_time), file=file) + print(' Total compile time: %es' % self.compile_time, file=file) + print(' Theano Optimizer time: %es' % self.optimizer_time, file=file) + print(' Theano validate time: %es' % self.validate_time, file=file) + print((' Theano Linker time (includes C,' ' CUDA code generation/compiling): %es' % - self.linker_time) - print >> file, '' + self.linker_time), file=file) + print('', file=file) # The validation time is a subset of optimizer_time assert self.validate_time < self.optimizer_time @@ -591,7 +591,7 @@ var_mem = {} # varible->size in bytes; don't include input variables node_mem = {} # node->total outputs size (only dense outputs) - for node in self.apply_callcount.keys(): + for node in list(self.apply_callcount.keys()): fct_memory.setdefault(node.fgraph, {}) fct_memory[node.fgraph].setdefault(node, []) fct_shapes.setdefault(node.fgraph, {}) @@ -616,10 +616,10 @@ max_running_max_memory_size = 0 max_node_memory_saved_by_view = 0 max_node_memory_saved_by_inplace = 0 - for fgraph, nodes_mem in fct_memory.iteritems(): + for fgraph, nodes_mem in fct_memory.items(): # Sum of the size of all variables in bytes sum_size = sum([sum([v for v in val if not isinstance(v, str)]) - for key, val in nodes_mem.iteritems()]) + for key, val in nodes_mem.items()]) # Sum of the size of all variables that actually allocate # memory (excluding views, and inplace); node_memory_size = 0 @@ -684,54 +684,54 @@ del fgraph, nodes_mem, post_thunk_old_storage, node if len(fct_memory) > 1: - print >> file, ("Memory Profile " - "(the max between all functions in that profile)") + print(("Memory Profile " + "(the max between all functions in that profile)"), file=file) else: - print >> file, "Memory Profile" - - print >> file, "(Sparse variables are ignored)" - - print >> file, "---" + print("Memory Profile", file=file) + + print("(Sparse variables are ignored)", file=file) + + print("---", file=file) # print >> file, " Max if no gc, inplace and view: %dKB" % int( # round(max_sum_size / 1024)) - print >> file, " Max if linker=cvm (default): unknown" - print >> file, " Max if no gc (allow_gc=False): %dKB" % int(round( - max_node_memory_size / 1024.)) - print >> file, " Max if linker=c|py: %dKB" % int(round( - max_running_max_memory_size / 1024.)) + print(" Max if linker=cvm (default): unknown", file=file) + print(" Max if no gc (allow_gc=False): %dKB" % int(round( + max_node_memory_size / 1024.)), file=file) + print(" Max if linker=c|py: %dKB" % int(round( + max_running_max_memory_size / 1024.)), file=file) # print >> file, " Memory saved if views are used: %dKB" % int( # round(max_node_memory_saved_by_view / 1024.)) # print >> file, " Memory saved if inplace ops are used: %dKB" % \ # int(round(max_node_memory_saved_by_inplace / 1024.)) - print >> file, " Memory saved if gc is enabled (linker=c|py): %dKB" % int( - round(max_node_memory_size - max_running_max_memory_size) / 1024.) + print(" Memory saved if gc is enabled (linker=c|py): %dKB" % int( + round(max_node_memory_size - max_running_max_memory_size) / 1024.), file=file) if (hasattr(theano, 'sandbox') and hasattr(theano.sandbox, 'cuda') and hasattr(theano.sandbox.cuda, 'cuda_ndarray') and hasattr(theano.sandbox.cuda.cuda_ndarray.cuda_ndarray, 'theano_allocated')): _, gpu_max = theano.sandbox.cuda.cuda_ndarray.cuda_ndarray.theano_allocated() - print >> file, (" Max Memory allocated on the GPU " + print((" Max Memory allocated on the GPU " "(for all functions): %dKB" % - int(round(gpu_max / 1024.))) - - print >> file, "" + int(round(gpu_max / 1024.))), file=file) + + print("", file=file) if len(fct_memory) > 1: - print >> file, ( - " This list is based on all functions in the profile") - print >> file, (" " + print(( + " This list is based on all functions in the profile"), file=file) + print((" " " " " " - " ") - print >> file, "" - items = node_mem.items() + " "), file=file) + print("", file=file) + items = list(node_mem.items()) items.sort(key=lambda a: a[1]) items.reverse() for idx, (node, node_outputs_size) in enumerate(items[:N]): code = ['c'] * len(node.outputs) - for out, inp in getattr(node.op, 'destroy_map', {}).iteritems(): + for out, inp in getattr(node.op, 'destroy_map', {}).items(): code[out] = "i" - for out, inp in getattr(node.op, 'view_map', {}).iteritems(): + for out, inp in getattr(node.op, 'view_map', {}).items(): code[out] = "v" shapes = str(fct_shapes[node.fgraph][node]) @@ -744,9 +744,9 @@ else: size = "%10s" % "Unknown" - print >> file, ' %s %s %s %s' % (size, + print(' %s %s %s %s' % (size, shapes, - ' '.join(code), node) + ' '.join(code), node), file=file) sum_remaining = sum(size for _, size in items[N:]) size_sum_dense = sum(node_mem.values()) @@ -754,24 +754,24 @@ p = "0%" else: p = "(%.2f%%)" % (float(sum_remaining) / size_sum_dense * 100) - print >> file, ( + print(( ' ... (remaining %i Apply account for %4dB/%dB (%s) of the' ' Apply with dense outputs sizes)') % (max(0, len(node_mem) - N), sum_remaining, size_sum_dense, p - ) - print >> file, '' + ), file=file) + print('', file=file) if N == 0: - print >> file, (' All Apply nodes have output sizes that take' + print((' All Apply nodes have output sizes that take' ' less than %dB.' % - config.profiling.min_memory_size) - print >> file, ( - " is taken from the Op's declaration.") - print >> file, (" Apply nodes marked 'inplace' or 'view' may" + config.profiling.min_memory_size), file=file) + print(( + " is taken from the Op's declaration."), file=file) + print((" Apply nodes marked 'inplace' or 'view' may" " actually allocate memory, this is not reported" " here. If you use DebugMode, warnings will be" - " emitted in those cases.") - print >> file, '' + " emitted in those cases."), file=file) + print('', file=file) def summary(self, file=sys.stderr, n_ops_to_print=20, n_apply_to_print=20): @@ -782,13 +782,13 @@ self.summary_ops(file, n_ops_to_print) self.summary_nodes(file, n_apply_to_print) elif self.fct_callcount > 0: - print >> file, (" No execution time accumulated " - "(hint: try config profiling.time_thunks=1)") + print((" No execution time accumulated " + "(hint: try config profiling.time_thunks=1)"), file=file) if self.variable_shape or self.variable_strides: self.summary_memory(file, n_apply_to_print) if self.optimizer_profile: - print "Optimizer Profile" - print "-----------------" + print("Optimizer Profile") + print("-----------------") self.optimizer_profile[0].print_profile(file, self.optimizer_profile[1]) @@ -805,21 +805,21 @@ """ local_time = sum(self.apply_time.values()) - print '' - print 'ProfileMode.long_print()' - print 'name = %s' % fct_name - print 'msg = %s' % message - print '---------------------------' - print '' - - print 'Total time spent running thunks: %.3fs' % local_time + print('') + print('ProfileMode.long_print()') + print('name = %s' % fct_name) + print('msg = %s' % message) + print('---------------------------') + print('') + + print('Total time spent running thunks: %.3fs' % local_time) sop_time = {} sop_call = {} sop_op = {} #map each op class to Bool. True iff all applies were done in c. sop_c = {} - for a, t in op_time.items(): + for a, t in list(op_time.items()): typ = type(a) sop_time.setdefault(typ, 0) sop_time[typ] += t @@ -828,9 +828,9 @@ sop_c.setdefault(typ, True) sop_c[typ] = sop_c[typ] and op_cimpl.get(a, False) sop_call[typ] = sop_call.get(typ, 0) + op_call[a] - print '\nSingle Op-wise summary: <% of local_time spent on this kind of Op> ' + print('\nSingle Op-wise summary: <% of local_time spent on this kind of Op> ') sotimes = [(t * 100 / local_time, t, a, sop_c[a], - sop_call[a], sop_op[a]) for a, t in sop_time.items()] + sop_call[a], sop_op[a]) for a, t in list(sop_time.items())] sotimes.sort() sotimes.reverse() tot = 0 @@ -844,29 +844,29 @@ msg = '*' else: msg = ' ' - print ' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %5d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, nb_call, nb_op, a) - print ' ... (remaining %i Ops account for %.2f%%(%.2fs) of the runtime)'\ + print(' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %5d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, nb_call, nb_op, a)) + print(' ... (remaining %i Ops account for %.2f%%(%.2fs) of the runtime)'\ % (max(0, len(sotimes) - n_ops_to_print), sum(f for f, t, a, ci, nb_call, nb_op in sotimes[n_ops_to_print:]), sum(t for f, t, a, ci, nb_call, nb_op in - sotimes[n_ops_to_print:])) + sotimes[n_ops_to_print:]))) total_time = time.time() - import_time total_fct_time = sum(fct_call_time.values()) total_fct_call = sum(fct_call.values()) other_time = total_time - total_fct_time - compile_time - print - print 'Theano fct summary: <% total fct time> ' - for key in fct_call.keys(): + print() + print('Theano fct summary: <% total fct time> ') + for key in list(fct_call.keys()): if fct_call[key] > 0: - print ' %4.1f%% %.3fs %.2es %d %s'%( + print(' %4.1f%% %.3fs %.2es %d %s'%( fct_call_time[key] / total_fct_time * 100, fct_call_time[key], fct_call_time[key] / fct_call[key], - fct_call[key], key.name) + fct_call[key], key.name)) else: - print ' NOT CALLED',key.name + print(' NOT CALLED',key.name) if total_fct_time > 0: time_pr_in_fct = local_time / total_fct_time * 100 @@ -875,26 +875,26 @@ time_pr_in_fct = 0 time_per_call = 0 - print - print 'Time since import %.3fs' % (total_time) - print 'Compile time: %.3fs %.1f%%' % (compile_time, - compile_time / total_time * 100) - print 'Theano fct call %.3fs %.1f%%' % (total_fct_time, + print() + print('Time since import %.3fs' % (total_time)) + print('Compile time: %.3fs %.1f%%' % (compile_time, + compile_time / total_time * 100)) + print('Theano fct call %.3fs %.1f%%' % (total_fct_time, total_fct_time / total_time * - 100) - print ' Theano Op time (included in fct call, Time spent running thunks) %.3fs %.1f%%(of total) %.1f%%(of fct call)' % (local_time, + 100)) + print(' Theano Op time (included in fct call, Time spent running thunks) %.3fs %.1f%%(of total) %.1f%%(of fct call)' % (local_time, local_time / total_time * 100, - time_pr_in_fct) - print 'Other time since import %.3fs %.1f%%'%(other_time,other_time/total_time*100) - print '%i Theano fct call, %.3fs per call'%(total_fct_call, time_per_call) - - print - print "List of apply that don't have float64 as input but have float64 in outputs. Usefull to know if we forgot some cast when using floatX=float32 or gpu code." - print ' ' - for fct in fct_call.keys(): + time_pr_in_fct)) + print('Other time since import %.3fs %.1f%%'%(other_time,other_time/total_time*100)) + print('%i Theano fct call, %.3fs per call'%(total_fct_call, time_per_call)) + + print() + print("List of apply that don't have float64 as input but have float64 in outputs. Usefull to know if we forgot some cast when using floatX=float32 or gpu code.") + print(' ') + for fct in list(fct_call.keys()): for idx, node in enumerate(fct.maker.fgraph.toposort()): if any(hasattr(i, 'dtype') and i.dtype == 'float64' for i in node.outputs) and not any(hasattr(i, 'dtype') and i.dtype == 'float64' for i in node.inputs): - print str(node), idx, fct.name, str([getattr(i,'dtype',None) for i in node.inputs]),str([getattr(i,'dtype',None) for i in node.outputs]) + print(str(node), idx, fct.name, str([getattr(i,'dtype',None) for i in node.inputs]),str([getattr(i,'dtype',None) for i in node.outputs])) if any([x[2].__name__.startswith("Gpu") for x in sotimes]): cpu = [] @@ -910,20 +910,20 @@ sum_cpu = sum(so[1] for so in cpu) sum_gpu = sum(so[1] for so in gpu) sum_trans = sum(so[1] for so in trans) - print - - print "Spent %.3fs(%.3f%%) in cpu Op, %.3fs(%.3f%%) in gpu Op and %.3fs(%.3f%%) transfert Op"%( - sum_cpu, sum_cpu/local_time*100, sum_gpu, sum_gpu/local_time*100, sum_trans, sum_trans/local_time*100) - - print "Theano function input that are float64" - print " " - for fct in fct_call.keys(): + print() + + print("Spent %.3fs(%.3f%%) in cpu Op, %.3fs(%.3f%%) in gpu Op and %.3fs(%.3f%%) transfert Op"%( + sum_cpu, sum_cpu/local_time*100, sum_gpu, sum_gpu/local_time*100, sum_trans, sum_trans/local_time*100)) + + print("Theano function input that are float64") + print(" ") + for fct in list(fct_call.keys()): for i in fct.input_storage: if hasattr(i.type, 'dtype') and i.type.dtype == 'float64': - print fct.name, i.name, i.type, i - - print - print "Here are tips to potentially make your code run faster (if you think of new ones, suggest them on the mailing list). Test them first as they are not guaranteed to always provide a speedup." + print(fct.name, i.name, i.type, i) + + print() + print("Here are tips to potentially make your code run faster (if you think of new ones, suggest them on the mailing list). Test them first as they are not guaranteed to always provide a speedup.") from theano import tensor as T from theano.tensor.raw_random import RandomFunction import theano @@ -952,7 +952,7 @@ if s_op.__class__ in scalar_op_amdlibm_speed_up: return True elif s_op.__class__ not in scalar_op_amdlibm_no_speed_up: - print "We don't know if amdlibm will accelerate this scalar op.", s_op + print("We don't know if amdlibm will accelerate this scalar op.", s_op) return False def exp_float32_op(op): if not isinstance(op, T.Elemwise): @@ -963,29 +963,29 @@ #tip 1 if config.floatX=='float64': - print " - Try the Theano flag floatX=float32" + print(" - Try the Theano flag floatX=float32") #tip 2 if not config.lib.amdlibm and any([amdlibm_speed_up(a.op) for i,a in apply_time]): - print " - Try installing amdlibm and set the Theano flag lib.amdlibm=True. This speed up only some Elemwise operation." + print(" - Try installing amdlibm and set the Theano flag lib.amdlibm=True. This speed up only some Elemwise operation.") #tip 3 if not config.lib.amdlibm and any([exp_float32_op(a.op) and a.inputs[0].dtype=='float32' for i,a in apply_time]): - print " - With the default gcc libm, exp in float32 is slower than in float64! Try Theano flags floatX=float64 or install amdlibm and set the theano flags lib.amdlibm=True" + print(" - With the default gcc libm, exp in float32 is slower than in float64! Try Theano flags floatX=float64 or install amdlibm and set the theano flags lib.amdlibm=True") #tip 4 - for a, t in apply_time.iteritems(): + for a, t in apply_time.items(): node = a if (isinstance(node.op, T.Dot) and all([len(i.type.broadcastable) == 2 for i in node.inputs])): - print (" - You have a dot operation that was not optimized " + print((" - You have a dot operation that was not optimized " "to dot22 that is faster. Make sure the inputs are " "float32 or float64 and are the same for both inputs. " "Currently they are: %s" % - [i.type for i in node.inputs]) + [i.type for i in node.inputs])) #tip 5 - for a, t in apply_time.iteritems(): + for a, t in apply_time.items(): node = a if isinstance(node.op, RandomFunction): print (" - Replace the default random number generator by " @@ -1067,13 +1067,13 @@ def diff_dict(a_time, b_time_): r = {} b_time = copy.copy(b_time_) - for a, ta in a_time.items(): + for a, ta in list(a_time.items()): r.setdefault(a, 0) tb = b_time.pop(a, 0) r[a] += ta - tb #they are missing in a - for a, t in b_time.items(): + for a, t in list(b_time.items()): r.setdefault(a, 0) r[a] += t return r @@ -1112,27 +1112,27 @@ # Function profiling is just extremely confusing if self.callcount == 0: return - print >> file, '' + print('', file=file) if self.name is not None: - print >> file, 'Scan Op profiling (', self.name, ')' + print('Scan Op profiling (', self.name, ')', file=file) else: - print >> file, 'Scan Op profiling' - print >> file, '==================' - print >> file, ' Message: %s' % self.message - - print >> file, (' Time in %i calls of the op (for a total of %i ' + print('Scan Op profiling', file=file) + print('==================', file=file) + print(' Message: %s' % self.message, file=file) + + print((' Time in %i calls of the op (for a total of %i ' 'steps) %es' % - (self.callcount, self.nbsteps, self.call_time)) - print >> file, '' + (self.callcount, self.nbsteps, self.call_time)), file=file) + print('', file=file) val = 0 if self.call_time > 0: val = self.vm_call_time * 100 / self.call_time - print >> file, ' Total time spent in calling the VM %es (%.3f%%)' % ( - self.vm_call_time, val) + print(' Total time spent in calling the VM %es (%.3f%%)RefactoringTool: Refactored ./theano/compile/profilemode.py ' % ( + self.vm_call_time, val), file=file) val = 100 if self.call_time > 0: val = 100. - self.vm_call_time * 100 / self.call_time - print >> file, ' Total overhead (computing slices..) %es (%.3f%%)' % ( - self.call_time - self.vm_call_time, val) - print >> file, '' + print(' Total overhead (computing slices..) %es (%.3f%%)' % ( + self.call_time - self.vm_call_time, val), file=file) + print('', file=file) --- ./theano/compile/profilemode.py (original) +++ ./theano/compile/profilemode.py (refactored) @@ -14,7 +14,7 @@ from theano.compile.function_module import FunctionMaker run_cthunk = None # Will be imported only when needed. -from profiling import ProfileStats +from .profiling import ProfileStats import_time = time.time() @@ -122,7 +122,7 @@ def __get_local_time(self): rval = 0 - for ps in self.profile_stats.values(): + for ps in list(self.profile_stats.values()): rval += sum(ps.apply_time.values()) return rval local_time = property(__get_local_time) @@ -186,7 +186,7 @@ self.provided_linker = linker self.provided_optimizer = optimizer - if isinstance(linker, basestring) or linker is None: + if isinstance(linker, str) or linker is None: linker = predefined_linkers[linker] if not config.ProfileMode.profile_memory: @@ -196,7 +196,7 @@ linker = WrapLinker([linker], p_thunk) self.linker = linker - if isinstance(optimizer, basestring) or optimizer is None: + if isinstance(optimizer, str) or optimizer is None: optimizer = predefined_optimizers[optimizer] self._optimizer = optimizer @@ -219,37 +219,37 @@ that are accepted. """ compile_time = sum([ps.compile_time for ps - in self.profile_stats.values()]) + in list(self.profile_stats.values())]) fct_call = dict([(fn, ps.fct_callcount) - for (fn, ps) in self.profile_stats.items()]) + for (fn, ps) in list(self.profile_stats.items())]) fct_call_time = dict([(fn, ps.fct_call_time) - for (fn, ps) in self.profile_stats.items()]) + for (fn, ps) in list(self.profile_stats.items())]) apply_time = {} - for fn, ps in self.profile_stats.items(): + for fn, ps in list(self.profile_stats.items()): for (i, node) in enumerate(fn.maker.fgraph.toposort()): apply_time[(i, node)] = ps.apply_time[node] - for (i, n), t in apply_time.items(): + for (i, n), t in list(apply_time.items()): if t == 0: - print i, n + print(i, n) apply_cimpl = {} - for fn, ps in self.profile_stats.items(): + for fn, ps in list(self.profile_stats.items()): apply_cimpl.update(ps.apply_cimpl) message = self.message variable_shape = {} - for fn, ps in self.profile_stats.items(): + for fn, ps in list(self.profile_stats.items()): variable_shape.update(ps.variable_shape) other_time = dict( linker_time=sum( - [ps.linker_time for ps in self.profile_stats.values()]), + [ps.linker_time for ps in list(self.profile_stats.values())]), optimizer_time=sum( - [ps.optimizer_time for ps in self.profile_stats.values()])) + [ps.optimizer_time for ps in list(self.profile_stats.values())])) self.print_summary_("print_summary", compile_time, fct_call_time, fct_call, @@ -271,13 +271,13 @@ def diff_dict(a_time, b_time_): r = {} b_time = copy.copy(b_time_) - for a, ta in a_time.items(): + for a, ta in list(a_time.items()): r.setdefault(a, 0) tb = b_time.pop(a, 0) r[a] += ta - tb #they are missing in a - for a, t in b_time.items(): + for a, t in list(b_time.items()): r.setdefault(a, 0) r[a] += t return r @@ -317,9 +317,9 @@ whose outputs memory size is lower then that. """ - print "ProfileMode is deprecated! Use the new profiler." - print " The Theano flags to enable it ise: profile=True" - print " The Theano flags for the memory profile to it is: profile_memory=True" + print("ProfileMode is deprecated! Use the new profiler.") + print(" The Theano flags to enable it ise: profile=True") + print(" The Theano flags for the memory profile to it is: profile_memory=True") total_time = time.time() - import_time total_fct_time = sum(fct_call_time.values()) @@ -336,31 +336,31 @@ overhead_time_pourcent_fct_time = 0 time_per_call = 0 - print - print 'ProfileMode.%s(%s)' % (fct_name,message) - print '---------------------------' - print - print 'Time since import %.3fs'%(total_time) - print 'Theano compile time: %.3fs (%.1f%% since import)'%(compile_time, compile_time/total_time*100) - print ' Optimization time: %.3fs'%(other_time['optimizer_time']) - print ' Linker time: %.3fs'%(other_time['linker_time']) - print 'Theano fct call %.3fs (%.1f%% since import)'%(total_fct_time, total_fct_time/total_time*100) - print ' Theano Op time %.3fs %.1f%%(since import) %.1f%%(of fct call)'% ( - local_time, local_time/total_time*100, time_pr_in_fct) - print ' Theano function overhead in ProfileMode %.3fs %.1f%%(since import) %.1f%%(of fct call)'% ( - overhead_time, overhead_time/total_time*100, overhead_time_pourcent_fct_time) - print '%i Theano fct call, %.3fs per call'%(total_fct_call, time_per_call) - print 'Rest of the time since import %.3fs %.1f%%'%(unknown_time, unknown_time/total_time*100) - - print - print 'Theano fct summary:' - print '<% total fct time> ' - for key in fct_call.keys(): + print() + print('ProfileMode.%s(%s)' % (fct_name,message)) + print('---------------------------') + print() + print('Time since import %.3fs'%(total_time)) + print('Theano compile time: %.3fs (%.1f%% since import)'%(compile_time, compile_time/total_time*100)) + print(' Optimization time: %.3fs'%(other_time['optimizer_time'])) + print(' Linker time: %.3fs'%(other_time['linker_time'])) + print('Theano fct call %.3fs (%.1f%% since import)'%(total_fct_time, total_fct_time/total_time*100)) + print(' Theano Op time %.3fs %.1f%%(since import) %.1f%%(of fct call)'% ( + local_time, local_time/total_time*100, time_pr_in_fct)) + print(' Theano function overhead in ProfileMode %.3fs %.1f%%(since import) %.1f%%(of fct call)'% ( + overhead_time, overhead_time/total_time*100, overhead_time_pourcent_fct_time)) + print('%i Theano fct call, %.3fs per call'%(total_fct_call, time_per_call)) + print('Rest of the time since import %.3fs %.1f%%'%(unknown_time, unknown_time/total_time*100)) + + print() + print('Theano fct summary:') + print('<% total fct time> ') + for key in list(fct_call.keys()): if fct_call[key]>0: - print ' %4.1f%% %.3fs %.2es %d %s'%(fct_call_time[key]/total_fct_time*100 ,fct_call_time[key], - fct_call_time[key]/fct_call[key], fct_call[key], key.name) - else: - print ' NOT CALLED',key.name + print(' %4.1f%% %.3fs %.2es %d %s'%(fct_call_time[key]/total_fct_time*100 ,fct_call_time[key], + fct_call_time[key]/fct_call[key], fct_call[key], key.name)) + else: + print(' NOT CALLED',key.name) # Compute stats per op. @@ -369,14 +369,14 @@ op_apply = {} op_cimpl = {} sop_apply = {} - for (i,a),t in apply_time.items(): + for (i,a),t in list(apply_time.items()): op=a.op op_time.setdefault(op,0) op_call.setdefault(op,0) op_apply.setdefault(op,0) sop_apply.setdefault(type(a.op),0) op_time[op]+=t - nb_call = [v for k,v in fct_call.items() if k.maker.fgraph is a.fgraph][0] + nb_call = [v for k,v in list(fct_call.items()) if k.maker.fgraph is a.fgraph][0] op_cimpl.setdefault(a.op, True) op_cimpl[a.op] = op_cimpl[a.op] and apply_cimpl.get(a, False) if t==0: @@ -391,7 +391,7 @@ sop_call={} sop_op = {} sop_cimpl={} #map each op class to Bool. True iff all applies were done in c. - for a,t in op_time.items(): + for a,t in list(op_time.items()): typ = type(a) sop_time.setdefault(typ,0) sop_time[typ]+=t @@ -403,10 +403,10 @@ # Print the summary per op class. - print - print 'Single Op-wise summary:' - print '<% of local_time spent on this kind of Op> [*] ' - sotimes = [(t*100/local_time, t, a, sop_cimpl[a], sop_call[a], sop_op[a], sop_apply[a]) for a, t in sop_time.items()] + print() + print('Single Op-wise summary:') + print('<% of local_time spent on this kind of Op> [*] ') + sotimes = [(t*100/local_time, t, a, sop_cimpl[a], sop_call[a], sop_op[a], sop_apply[a]) for a, t in list(sop_time.items())] sotimes.sort() sotimes.reverse() tot=0 @@ -420,30 +420,30 @@ msg = '*' else: msg = ' ' - print ' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %5d %2d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, nb_call, nb_op, nb_apply, a) - print ' ... (remaining %i single Op account for %.2f%%(%.2fs) of the runtime)'\ + print(' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %5d %2d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, nb_call, nb_op, nb_apply, a)) + print(' ... (remaining %i single Op account for %.2f%%(%.2fs) of the runtime)'\ %(max(0, len(sotimes)-n_ops_to_print), sum(soinfo[0] for soinfo in sotimes[n_ops_to_print:]), - sum(soinfo[1] for soinfo in sotimes[n_ops_to_print:])) - - print '(*) Op is running a c implementation' + sum(soinfo[1] for soinfo in sotimes[n_ops_to_print:]))) + + print('(*) Op is running a c implementation') # The summary per op op_flops = {} - for a,t in op_time.items(): + for a,t in list(op_time.items()): if hasattr(a,'flops'): op_flops[a]=a.flops*op_call[a]/t/1e6 flops_msg='' if op_flops: flops_msg=' ' - print '\nHACK WARNING: we print the flops for some OP, but the logic don\'t always work. You need to know the internal of Theano to make it work correctly. Otherwise don\'t use!' - print - print 'Op-wise summary:' - print '<%% of local_time spent on this kind of Op> [*] %s '%(flops_msg) + print('\nHACK WARNING: we print the flops for some OP, but the logic don\'t always work. You need to know the internal of Theano to make it work correctly. Otherwise don\'t use!') + print() + print('Op-wise summary:') + print('<%% of local_time spent on this kind of Op> [*] %s '%(flops_msg)) otimes = [(t*100/local_time, t, a, op_cimpl.get(a, 0), op_call.get(a, 0), op_apply.get(a,0)) - for a, t in op_time.items()] + for a, t in list(op_time.items())] otimes.sort() otimes.reverse() tot=0 @@ -458,21 +458,21 @@ else: msg = ' ' if op_flops: - print ' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %7.1f %5d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, op_flops.get(a,-1), nb_call, nb_apply, a) - else: - print ' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %5d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, nb_call, nb_apply, a) - print ' ... (remaining %i Op account for %6.2f%%(%.2fs) of the runtime)'\ + print(' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %7.1f %5d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, op_flops.get(a,-1), nb_call, nb_apply, a)) + else: + print(' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %5d %2d %s' % (f, ftot, t, tot, t/nb_call, msg, nb_call, nb_apply, a)) + print(' ... (remaining %i Op account for %6.2f%%(%.2fs) of the runtime)'\ %(max(0, len(otimes)-n_ops_to_print), sum(f for f, t, a, ci, nb_call, nb_op in otimes[n_ops_to_print:]), - sum(t for f, t, a, ci, nb_call, nb_op in otimes[n_ops_to_print:])) - print '(*) Op is running a c implementation' + sum(t for f, t, a, ci, nb_call, nb_op in otimes[n_ops_to_print:]))) + print('(*) Op is running a c implementation') if print_apply: - print - print 'Apply-wise summary:' - print '<% of local_time spent at this position> [*] ' - atimes = [(t*100/local_time, t, a, [v for k,v in fct_call.items() if k.maker.fgraph is a[1].fgraph][0]) for a, t in apply_time.items()] + print() + print('Apply-wise summary:') + print('<% of local_time spent at this position> [*] ') + atimes = [(t*100/local_time, t, a, [v for k,v in list(fct_call.items()) if k.maker.fgraph is a[1].fgraph][0]) for a, t in list(apply_time.items())] atimes.sort() atimes.reverse() tot=0 @@ -485,31 +485,31 @@ msg = '*' else: msg = ' ' - print ' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %i %2i %s' % ( - f, ftot, t, tot, t/nb_call, msg, nb_call, a[0], str(a[1])) - print ' ... (remaining %i Apply instances account for %.2f%%(%.2fs) of the runtime)'\ + print(' %4.1f%% %5.1f%% %5.3fs %5.3fs %.2es %s %i %2i %s' % ( + f, ftot, t, tot, t/nb_call, msg, nb_call, a[0], str(a[1]))) + print(' ... (remaining %i Apply instances account for %.2f%%(%.2fs) of the runtime)'\ %(max(0, len(atimes)-n_apply_to_print), sum(f for f, t, a, nb_call in atimes[n_apply_to_print:]), - sum(t for f, t, a, nb_call in atimes[n_apply_to_print:])) - print '(*) Op is running a c implementation' + sum(t for f, t, a, nb_call in atimes[n_apply_to_print:]))) + print('(*) Op is running a c implementation') for printer in profiler_printers: printer(fct_name, compile_time, fct_call_time, fct_call, apply_time, apply_cimpl, message, variable_shape, other_time) if not variable_shape: - print """\nProfile of Theano intermediate memory disabled. - To enabled, put the Theano flag ProfileMode.profile_memory to True.""" + print("""\nProfile of Theano intermediate memory disabled. + To enabled, put the TheanRefactoringTool: Refactored ./theano/compile/pfunc.py o flag ProfileMode.profile_memory to True.""") else: - print """ + print(""" The memory profile in ProfileMode is removed! Use the new profiler. Use the Theano flags - profile=True,profile_memory=True to enable it.""" - - print - print """Here are tips to potentially make your code run faster + profile=True,profile_memory=True to enable it.""") + + print() + print("""Here are tips to potentially make your code run faster (if you think of new ones, suggest them on the mailing list). -Test them first, as they are not guaranteed to always provide a speedup.""" +Test them first, as they are not guaranteed to always provide a speedup.""") from theano import tensor as T from theano.tensor.raw_random import RandomFunction import theano @@ -558,7 +558,7 @@ if s_op.__class__ in scalar_op_amdlibm_speed_up: return True elif s_op.__class__ not in scalar_op_amdlibm_no_speed_up: - print "We don't know if amdlibm will accelerate this scalar op.", s_op + print("We don't know if amdlibm will accelerate this scalar op.", s_op) return False def exp_float32_op(op): @@ -571,13 +571,13 @@ printed_tip = False #tip 1 if config.floatX == 'float64': - print " - Try the Theano flag floatX=float32" + print(" - Try the Theano flag floatX=float32") printed_tip = True #tip 2 if not config.lib.amdlibm and any([amdlibm_speed_up(a.op) for i, a in apply_time]): - print " - Try installing amdlibm and set the Theano flag lib.amdlibm=True. This speeds up only some Elemwise operation." + print(" - Try installing amdlibm and set the Theano flag lib.amdlibm=True. This speeds up only some Elemwise operation.") printed_tip = True #tip 3 @@ -590,19 +590,19 @@ printed_tip = True #tip 4 - for a, t in apply_time.iteritems(): + for a, t in apply_time.items(): node = a[1] if (isinstance(node.op, T.Dot) and all([len(i.type.broadcastable) == 2 for i in node.inputs])): - print (" - You have a dot operation that was not optimized to" + print((" - You have a dot operation that was not optimized to" " dot22 (which is faster). Make sure the inputs are " "float32 or float64, and are the same for both inputs. " "Currently they are: %s" % - [i.type for i in node.inputs]) + [i.type for i in node.inputs])) printed_tip = True #tip 5 - for a, t in apply_time.iteritems(): + for a, t in apply_time.items(): node = a[1] if isinstance(node.op, RandomFunction): printed_tip = True @@ -616,7 +616,7 @@ break if not printed_tip: - print " Sorry, no tip for today." + print(" Sorry, no tip for today.") register_mode('PROFILE_MODE', ProfileMode()) --- ./theano/compile/pfunc.py (original) +++ ./theano/compile/pfunc.py (refactored) @@ -141,7 +141,7 @@ if replace is None: replace = [] try: - replace_pairs = replace.items() + replace_pairs = list(replace.items()) except Exception: replace_pairs = replace @@ -200,7 +200,7 @@ # filter_variable ensure smooth conversion of cpu/gpu Types try: update_val = store_into.type.filter_variable(update_val) - except TypeError, e: + except TypeError as e: err_msg = ('An update must have the same type as the' ' original shared variable (shared_var=%s,' ' shared_var.type=%s,' @@ -464,7 +464,7 @@ # thisRefactoringTool: Refactored ./theano/compile/ops.py RefactoringTool: No changes to ./theano/compile/monitormode.py RefactoringTool: Refactored ./theano/compile/module.py typically does nothing, contrary to what one may expect. in_var_set = set(in_variables) try: - givens_pairs = givens.items() + givens_pairs = list(givens.items()) except AttributeError: givens_pairs = givens for x, y in givens_pairs: @@ -544,6 +544,6 @@ """ if isinstance(pairs, dict): - return pairs.iteritems() + return iter(pairs.items()) else: return pairs --- ./theano/compile/ops.py (original) +++ ./theano/compile/ops.py (refactored) @@ -63,7 +63,7 @@ version = [] # If any of the c code is unversionned, we have to return () # Else, we will return a list of (type name, version) pairs. - for t, (c, v) in sorted(self.c_code_and_version.items(), key=lambda pair: str(pair[0])): + for t, (c, v) in sorted(list(self.c_code_and_version.items()), key=lambda pair: str(pair[0])): if not v: warnings.warn("Type %s has C code for ViewOp, but it has " "no version. You should add a 'version' keyword arg " @@ -153,7 +153,7 @@ version = [] # If any of the c code is unversionned, we have to return () # Else, we will return a list of (type name, version) pairs. - for t, (c, v) in sorted(self.c_code_and_version.items(), key=lambda pair: str(pair[0])): + for t, (c, v) in sorted(list(self.c_code_and_version.items()), key=lambda pair: str(pair[0])): if not v: warnings.warn("Type %s has C code for DeepCopyOp, but it has " "no version. You should add a 'version' keyword arg " @@ -227,7 +227,7 @@ version = [] # If any of the c code is unversionned, we have to return () # Else, we will return a list of (type name, version) pairs. - for t, (c, v) in sorted(self.c_code_and_version.items(), + for t, (c, v) in sorted(list(self.c_code_and_version.items()), key=lambda pair: str(pair[0])): if not v: warnings.warn("Type %s has C code for Shape_i, but it has " --- ./theano/compile/module.py (original) +++ ./theano/compile/module.py (refactored) @@ -332,7 +332,7 @@ # return self.resolve(x).r def resolve_inputs(): - if isinstance(self.inputs, (io.In, gof.Variable, basestring)): + if isinstance(self.inputs, (io.In, gof.Variable, str)): inputs = [self.inputs] else: inputs = list(self.inputs) @@ -340,7 +340,7 @@ passthrough=(gof.Variable, io.In)) for input in inputs] def resolve_outputs(): - if isinstance(self.outputs, (io.Out, gof.Variable, basestring, type(None))): + if isinstance(self.outputs, (io.Out, gof.Variable, str, type(None))): output = self.outputs self.outputs = resolve_variable(output, passthrough=(gof.Variable, io.Out, type(None))) @@ -352,7 +352,7 @@ def resolve_updates(): updates = self.updates self.updates = {} - for k, v in updates.iteritems(): + for k, v in updates.items(): k, v = resolve_variable(k), resolve_variable(v) self.updates[k] = v @@ -414,7 +414,7 @@ raise TypeError(input, type(input)) # Deal with updates to shared storage - for k, v in self.updates.iteritems(): + for k, v in self.updates.items(): assert isinstance(k, gof.Variable) if isinstance(k, gof.Constant): raise TypeError('Module Constants cannot be updated', k) @@ -541,7 +541,7 @@ sep, #backport #"; " if self.updates else "", - ", ".join("%s <= %s" % (old, new) for old, new in self.updates.iteritems())) + ", ".join("%s <= %s" % (old, new) for old, new in self.updates.items())) def __call__(self, *args, **kwargs): raise TypeError("'Method' object is not callable" @@ -662,7 +662,7 @@ def __getitem__(self, item): # Uses get() internally - print 'COMPOSITE GETITEM', item + print('COMPOSITE GETITEM', item) x = self.get(item) if isinstance(x, (External, Member)): return x.r @@ -755,7 +755,7 @@ def __add__(self, other): if isinstance(other, (list, tuple)): - return ComponentList(self._components + map(wrap,other)) + return ComponentList(self._components + list(map(wrap,other))) elif isinstance(other, ComponentList): return ComponentList(self._components + other._components) else: @@ -763,7 +763,7 @@ def __radd__(self, other): if isinstance(other, (list, tuple)): - return ComponentList(map(wrap,other) + self._components) + return ComponentList(list(map(wrap,other)) + self._components) elif isinstance(other, ComponentList): return ComponentList(other._components + self._components) else: @@ -795,7 +795,7 @@ deprecation_warning() if init is None: init = {} - for k, initv in dict(init, **kwinit).iteritems(): + for k, initv in dict(init, **kwinit).items(): self[k] = initv class ComponentDictInstanceNoInit(CompositeInstance): @@ -810,7 +810,7 @@ def __str__(self): strings = [] - for k, v in sorted(self.__items__.iteritems()): + for k, v in sorted(self.__items__.items()): if isinstance(v, gof.Container): v = v.value if not k.startswith('_') and not callable(v) and not k in getattr(self, '__hide__', []): @@ -828,7 +828,7 @@ deprecation_warning() if init is None: init = {} - for k, initv in dict(init, **kwinit).iteritems(): + for k, initv in dict(init, **kwinit).items(): self[k] = initv @@ -842,23 +842,23 @@ components = {} super(ComponentDict, self).__init__() components = dict(components, **kwcomponents) - for val in components.itervalues(): + for val in components.values(): if not isinstance(val, Component): raise TypeError(val, type(val)) self.__dict__['_components'] = components def components(self): - return self._components.itervalues() + return iter(self._components.values()) def components_map(self): - return self._components.iteritems() + return iter(self._components.items()) def build(self, mode, memo): if self in memo: return self[memo] inst = self.InstanceType(self, {}) - for name, c in self._components.iteritems(): + for name, c in self._components.items(): x = c.build(mode, memo) if x is not None: inst[name] = x @@ -895,7 +895,7 @@ def __set_name__(self, name): super(ComponentDict, self).__set_name__(name) - for mname, member in self._components.iteritems(): + for mname, member in self._components.items(): member.name = '%s.%s' % (name, mname) @@ -950,7 +950,7 @@ def dict_wrap(d): deprecation_warning() d_copy = {} - for k,v in d.iteritems(): + for k,v in d.items(): d_copy[k]=wrap(v) return d_copy @@ -969,11 +969,11 @@ # [[Variable1], {Variable2}, Variable3...] -> ComponentList(Member(Variable1), Member(Variable2), ...) register_wrapper(lambda x: isinstance(x, (list, tuple)) \ and all(wrapper(r) is not None for r in x), - lambda x: ComponentList(*map(wrap, x)), no_warn = True) + lambda x: ComponentList(*list(map(wrap, x))), no_warn = True) #{ "name1":{Component,Variable,list,tuple,dict},...} -> ComponentDict({Component,Variable,list,tuple,dict},...) register_wrapper(lambda x: isinstance(x, dict) \ - and all(wrapper(r) is not None for r in x.itervalues()), + and all(wrapper(r) is not None for r in x.values()RefactoringTool: Refactored ./theano/compile/mode.py ), lambda x: ComponentDict(dict_wrap(x)),no_warn = True) class Curry: @@ -1053,26 +1053,26 @@ @staticmethod def unpack_member_and_external(v): if isinstance(v, Member): - print >> sys.stderr, ("WARNING: assignment of Member " + print(("WARNING: assignment of Member " "object %s (either directly or indirectly) to Module " - "is deprecated. Just use Variable." % v) + "is deprecated. Just use Variable." % v), file=sys.stderr) return v.r elif isinstance(v, External): - print >> sys.stderr, ("WARNING: assignment of External " + print(("WARNING: assignment of External " "object %s (either directly or indirectly) to Module " - "is deprecated. Just use Variable." % v) + "is deprecated. Just use Variable." % v), file=sys.stderr) return v.r elif isinstance(v, (gof.Variable,Method,Module)): return v elif isinstance(v,(int,bool)): return v elif isinstance(v, (list)): - return map(Module.unpack_member_and_external,v) + return list(map(Module.unpack_member_and_external,v)) elif isinstance(v, (tuple)): return tuple(map(Module.unpack_member_and_external,v)) elif isinstance(v,dict): v_copy = dict() - for k,vv in v.iteritems(): + for k,vv in v.items(): v_copy[k]=Module.unpack_member_and_external(vv) return v else: @@ -1100,7 +1100,7 @@ def build(self, mode, memo): if self in memo: return memo[self] - for k,v in self.local_attr.iteritems(): + for k,v in self.local_attr.items(): self.__setattr__(k,v) inst = super(Module, self).build(mode, memo) if not isinstance(inst, ModuleInstance): @@ -1112,10 +1112,10 @@ if methodname.startswith('_instance_'): new_methodname = methodname[len('_instance_'):] if hasattr(inst, new_methodname): - print >> sys.stderr, "WARNING: not overriding already-defined method", - print >> sys.stderr, getattr(inst, new_methodname), - print >> sys.stderr, "with", - print >> sys.stderr, getattr(self, methodname) + print("WARNING: not overriding already-defined method", end=' ', file=sys.stderr) + print(getattr(inst, new_methodname), end=' ', file=sys.stderr) + print("with", end=' ', file=sys.stderr) + print(getattr(self, methodname), file=sys.stderr) else: curried = Curry(self, methodname, inst) # setattr doesn't work here because we overrode __setattr__ @@ -1132,7 +1132,7 @@ """ if init is None: init = {} - for name, value in chain(init.iteritems(), kwinit.iteritems()): + for name, value in chain(iter(init.items()), iter(kwinit.items())): inst[name] = value def make_module_instance(self, *args, **kwargs): @@ -1150,7 +1150,7 @@ if isinstance(v,list): iterv = enumerate(v) else: - iterv = v.iteritems() + iterv = iter(v.items()) #backport #iter = enumerate(v) if isinstance(v,list) else v.iteritems() for sk,sv in iterv: @@ -1161,7 +1161,7 @@ v[sk] = sv return v - for k,v in self.local_attr.iteritems(): + for k,v in self.local_attr.items(): if isinstance(v,Module): v = v.make_module_instance(args,kwargs) self[k] = self.__wrapper__(v) --- ./theano/compile/mode.py (original) +++ ./theano/compile/mode.py (refactored) @@ -160,7 +160,7 @@ def apply(self, fgraph): import theano.printing - print "PrintCurrentFRefactoringTool: Refactored ./theano/compile/io.py RefactoringTool: Refactored ./theano/compile/function_module.py unctionGraph:", self.header + print("PrintCurrentFunctionGraph:", self.header) theano.printing.debugprint(fgraph.outputs) @@ -251,10 +251,10 @@ linker, optimizer = state self.provided_linker = linker self.provided_optimizer = optimizer - if isinstance(linker, basestring) or linker is None: + if isinstance(linker, str) or linker is None: linker = predefined_linkers[linker] self.linker = linker - if isinstance(optimizer, basestring) or optimizer is None: + if isinstance(optimizer, str) or optimizer is None: optimizer = predefined_optimizers[optimizer] if isinstance(optimizer, gof.Query): self.provided_optimizer = optimizer @@ -278,9 +278,9 @@ optimizer = property(__get_optimizer) def get_linker_optimizer(self, linker, optimizer): - if isinstance(linker, basestring) or linker is None: + if isinstance(linker, str) or linker is None: linker = predefined_linkers[linker] - if isinstance(optimizer, basestring) or optimizer is None: + if isinstance(optimizer, str) or optimizer is None: optimizer = predefined_optimizers[optimizer] return (linker, optimizer) @@ -322,7 +322,7 @@ string = config.mode else: string = orig_string - if not isinstance(string, basestring): + if not isinstance(string, str): return string # it is hopefully already a mode... global instanciated_default_mode @@ -340,12 +340,12 @@ if string in ['Mode', 'ProfileMode', 'DebugMode']: if string == 'DebugMode': #need to import later to break circular dependency. - from debugmode import DebugMode + from .debugmode import DebugMode #DebugMode use its own linker. ret = DebugMode(optimizer=config.optimizer) else: # The import is needed in case string is ProfileMode - from profilemode import ProfileMode, prof_mode_instance_to_print + from .profilemode import ProfileMode, prof_mode_instance_to_print ret = eval(string + '(linker=config.linker, optimizer=config.optimizer)') elif string in predefined_modes: --- ./theano/compile/io.py (original) +++ ./theano/compile/io.py (refactored) @@ -2,7 +2,7 @@ __docformat__ = 'restructuredtext en' from theano import gof -from sharedvalue import SharedVariable +from .sharedvalue import SharedVariable import logging _logger = logging.getLogger("theano.compile.io") @@ -57,7 +57,7 @@ else: self.name = name - if self.name is not None and not isinstance(self.name, basestring): + if self.name is not None and not isinstance(self.name, str): raise TypeError("name must be a string! (got: %s)" % self.name) self.update = update if (mutable is not None): @@ -91,7 +91,7 @@ """ def __init__(self, name): - if not isinstance(name, basestring): + if not isinstance(name, str): raise TypeError('naem must be a string (got: %s)' % name) self.name = name self.sinputs = [] @@ -133,7 +133,7 @@ ret.sort() if not ret: return [[], []] - return zip(*ret) + return list(zip(*ret)) class In(SymbolicInput): --- ./theano/compile/function_module.py (original) +++ ./theano/compile/function_module.py (refactored) @@ -4,8 +4,8 @@ __docformat__ = "restructuredtext en" import copy -import copy_reg -import cPickle +import copyreg +import pickle import itertools import time import warnings @@ -52,7 +52,7 @@ continue vmap = getattr(cl.op, 'view_map', {}) dmap = getattr(cl.op, 'destroy_map', {}) - for opos, iposlist in vmap.items() + dmap.items(): + for opos, iposlist in list(vmap.items()) + list(dmap.items()): if v_input_pos_to_cl in iposlist: if cl.outputs[opos] not in treeset: view_tree_set(cl.outputs[opos], treeset) @@ -86,7 +86,7 @@ potential_values = list(fgraph.outputs) # copy the list if len(expanded_inputs) != len(fgraph.inputs): raise ValueError('expanded_inputs must match len(fgraph.inputs)') - for e_input, ivar in reversed(zip(expanded_inputs, fgraph.inputs)): + for e_input, ivar in reversed(list(zip(expanded_inputs, fgraph.inputs))): if e_input.update is not None: updated_vars[ivar] = potential_values.pop() return updated_vars @@ -150,7 +150,7 @@ # If named nodes are replaced, keep the name for feature in std_fgraph.features: fgraph.attach_feature(feature()) - return fgraph, map(SymbolicOutput, updates) + return fgraph, list(map(SymbolicOutput, updates)) std_fgraph.features = [gof.toolbox.PreserveNames] @@ -496,7 +496,7 @@ s.storage[0] = s.type.filter(arg, strict=s.strict, allow_downcast=s.allow_downcast) - except Exception, e: + except Exception as e: function_name = "theano function" if self.name: function_name += ' with name "' + self.name + '" ' @@ -512,7 +512,7 @@ # Set keyword arguments if kwargs: # for speed, skip the iteritems for empty kwargs - for k, arg in kwargs.iteritems(): + for k, arg in kwargs.items(): self[k] = arg if not self.trust_input and ( @@ -520,14 +520,14 @@ self._check_for_aliased_inputs): ## Collect aliased inputs among the storage space args_share_memory = [] - for i in xrange(len(self.input_storage)): + for i in range(len(self.input_storage)): i_var = self.maker.inputs[i].variable i_val = self.input_storage[i].storage[0] if hasattr(i_var.type, 'may_share_memory'): is_aliased = False - for j in xrange(len(args_share_memory)): - - group_j = itertools.izip( + for j in range(len(args_share_memory)): + + group_j = zip( [self.maker.inputs[k].variable for k in args_share_memory[j]], [self.input_storage[k].storage[0] for k @@ -624,8 +624,8 @@ if getattr(self.fn, 'need_update_inputs', True): # Update the inputs that have an update function - for input, storage in reversed(zip(self.maker.expanded_inputs, - self.input_storage)): + for input, storage in reversed(list(zip(self.maker.expanded_inputs, + self.input_storage))): if input.update is not None: storage.data = outputs.pop() else: @@ -717,7 +717,7 @@ (container.data == x) return f -copy_reg.pickle(Function, _pickle_Function) +copyreg.pickle(Function, _pickle_Function) @@ -821,12 +821,12 @@ # We can't use fgraph.inputs as this don't include Constant Value. all_graph_inputs = gof.graph.inputs(fgraph.outputs) - for i in xrange(len(fgraph.outputs)): + for i in range(len(fgraph.outputs)): views_of_output_i = set() view_tree_set(alias_root(fgraph.outputs[i]), views_of_output_i) copied = False # do not allow outputs to be aliased - for j in xrange(i + 1, len(fgraph.outputs)): + for j in range(i + 1, len(fgraph.outputs)): # We could don't put deep copy if both outputs have borrow==True # and not(wrapped_outputs[i].borrow and wrapped_outputs[j].borrow): if fgraph.outputs[j] in views_of_output_i: @@ -992,7 +992,7 @@ # Wrap them in In or Out instances if needed. #import pudb; pudb.set_trace() - inputs, outputs = map(self.wrap_in, inputs), map(self.wrap_out, outputs) + RefactoringTool: No changes to ./theano/compile/function.py RefactoringTool: Refactored ./theano/compile/debugmode.py inputs, outputs = list(map(self.wrap_in, inputs)), list(map(self.wrap_out, outputs)) _inputs = gof.graph.inputs([o.variable for o in outputs] + [i.update for i in inputs if getattr(i, 'update', False)]) @@ -1039,7 +1039,7 @@ # initialize the linker if not hasattr(linker, 'accept'): raise ValueError("'linker' parameter of FunctionFactory should be a Linker with an accept method " \ - "or one of %s" % theano.compile.mode.predefined_linkers.keys()) + "or one of %s" % list(theano.compile.mode.predefined_linkers.keys())) #the 'no_borrow' outputs are the ones for which that we can't return the internal storage pointer. assert len(fgraph.outputs) == len(outputs + additional_outputs) @@ -1209,19 +1209,19 @@ def _constructor_FunctionMaker(kwargs): return FunctionMaker(**kwargs) -copy_reg.pickle(FunctionMaker, _pickle_FunctionMaker) +copyreg.pickle(FunctionMaker, _pickle_FunctionMaker) try: # Pickle of slice is implemented on python 2.6. To enabled be # compatible with python 2.4, we implement pickling of slice # ourself. - cPickle.dumps(slice(0, 10, 100)) + pickle.dumps(slice(0, 10, 100)) except TypeError: # This slice pickle implementation seam backward and forward compatible. def _pickle_slice(s): return (slice, (s.start, s.stop, s.step)) - copy_reg.pickle(slice, _pickle_slice) + copyreg.pickle(slice, _pickle_slice) __checkers = [] @@ -1290,10 +1290,10 @@ t1 = time.time() mode = theano.compile.mode.get_mode(mode) - inputs = map(convert_function_input, inputs) + inputs = list(map(convert_function_input, inputs)) if outputs is not None: if isinstance(outputs, (list, tuple)): - outputs = map(FunctionMaker.wrap_out, outputs) + outputs = list(map(FunctionMaker.wrap_out, outputs)) else: outputs = FunctionMaker.wrap_out(outputs) @@ -1351,7 +1351,7 @@ orig = input if not input: raise TypeError("Nonsensical input specification: %s" % input) - if isinstance(input[0], basestring): + if isinstance(input[0], str): name = input[0] input = input[1:] else: --- ./theano/compile/debugmode.py (original) +++ ./theano/compile/debugmode.py (refactored) @@ -5,8 +5,8 @@ """ __docformat__ = "restructuredtext en" -import copy, sys, copy_reg, gc -from itertools import izip +import copy, sys, copyreg, gc + import numpy @@ -65,7 +65,7 @@ def is_valid_check_preallocated_output_param(param): - if not isinstance(param, basestring): + if not isinstance(param, str): return False valid = ["initial", "previous", "c_contiguous", "f_contiguous", "strided", "wrong_size", "ALL", ""] @@ -170,24 +170,24 @@ """Return a pretty multiline string representating the cause of the exception""" sio = StringIO() - print >> sio, "BadThunkOutput" - print >> sio, " Apply :", self.r.owner - print >> sio, " op :", self.offending_op() - print >> sio, " Outputs Type:", self.r.type - print >> sio, " Outputs Shape:", getattr(self.val1, 'shape', None) - print >> sio, " Outputs Strides:", getattr(self.val1, 'strides', None) - print >> sio, " Inputs Type :", [i.type for i in self.r.owner.inputs] - print >> sio, " Inputs Shape:", [getattr(val, 'shape', None) - for val in self.inputs_val] - print >> sio, " Inputs Strides:", [getattr(val, 'strides', None) - for val in self.inputs_val] - print >> sio, " Bad Variable:", self.r - print >> sio, " thunk1 :", self.thunk1 - print >> sio, " thunk2 :", self.thunk2 + print("BadThunkOutput", file=sio) + print(" Apply :", self.r.owner, file=sio) + print(" op :", self.offending_op(), file=sio) + print(" Outputs Type:", self.r.type, file=sio) + print(" Outputs Shape:", getattr(self.val1, 'shape', None), file=sio) + print(" Outputs Strides:", getattr(self.val1, 'strides', None), file=sio) + print(" Inputs Type :", [i.type for i in self.r.owner.inputs], file=sio) + print(" Inputs Shape:", [getattr(val, 'shape', None) + for val in self.inputs_val], file=sio) + print(" Inputs Strides:", [getattr(val, 'strides', None) + for val in self.inputs_val], file=sio) + print(" Bad Variable:", self.r, file=sio) + print(" thunk1 :", self.thunk1, file=sio) + print(" thunk2 :", self.thunk2, file=sio) #Don't import it at the top of the file to prevent circular import. utt = theano.tests.unittest_tools - print >> sio, utt.str_diagnostic(self.val1, self.val2, None, None) + print(utt.str_diagnostic(self.val1, self.val2, None, None), file=sio) ret = sio.getvalue() return ret @@ -245,58 +245,58 @@ of the exception""" sio = StringIO() val_str_len_limit = 800 - print >> sio, "BadOptimization Error", super(BadOptimization, - self).__str__() - print >> sio, " Variable: id", id(self.new_r), self.new_r - print >> sio, " Op", self.new_r.owner - print >> sio, " Value Type:", type(self.new_r_val) + print("BadOptimization Error", super(BadOptimization, + self).__str__(), file=sio) + print(" Variable: id", id(self.new_r), self.new_r, file=sio) + print(" Op", self.new_r.owner, file=sio) + print(" Value Type:", type(self.new_r_val), file=sio) try: ssio = StringIO() - print >> ssio, " Old Value shape, dtype, strides:", - print >> ssio, self.old_r_val.shape, - print >> ssio, self.old_r_val.dtype, - print >> ssio, self.old_r_val.strides + print(" Old Value shape, dtype, strides:", end=' ', file=ssio) + print(self.old_r_val.shape, end=' ', file=ssio) + print(self.old_r_val.dtype, end=' ', file=ssio) + print(self.old_r_val.strides, file=ssio) # only if all succeeds to we add anything to sio - print >> sio, ssio.getvalue() + print(ssio.getvalue(), file=sio) except Exception: pass str_old_r_val = str(self.old_r_val) if len(str_old_r_val) > val_str_len_limit: - print >> sio, " Old Value: ", str(self.old_r_val)[ - :val_str_len_limit], '...' + print(" Old Value: ", str(self.old_r_val)[ + :val_str_len_limit], '...', file=sio) else: - print >> sio, " Old Value: ", str(self.old_r_val) + print(" Old Value: ", str(self.old_r_val), file=sio) try: ssio = StringIO() - print >> ssio, " New Value shape, dtype, strides:", - print >> ssio, self.new_r_val.shape, - print >> ssio, self.new_r_val.dtype, - print >> ssio, self.new_r_val.strides + print(" New Value shape, dtype, strides:", end=' ', file=ssio) + print(self.new_r_val.shape, end=' ', file=ssio) + print(self.new_r_val.dtype, end=' ', file=ssio) + print(self.new_r_val.strides, file=ssio) # only if all succeeds to we add anything to sio - print >> sio, ssio.getvalue() + print(ssio.getvalue(), file=sio) except Exception: pass str_new_r_val = str(self.new_r_val) if len(str_new_r_val) > val_str_len_limit: - print >> sio, " New Value: ", str(self.new_r_val)[ - :val_str_len_limit], '...' + print(" New Value: ", str(self.new_r_val)[ + :val_str_len_limit], '...', file=sio) else: - print >> sio, " New Value: ", str(self.new_r_val) + print(" New Value: ", str(self.new_r_val), file=sio) try: ov = numpy.asarray(self.old_r_val) nv = numpy.asarray(self.new_r_val) ssio = StringIO() - print >> ssio, " Max Abs Diff: ", numpy.max(numpy.absolute(nv - - ov)) - print >> ssio, " Mean Abs Diff: ", numpy.mean(numpy.absolute(nv - - ov)) - print >> ssio, " Median Abs Diff: ", numpy.median(numpy.absolute( - nv - ov)) - print >> ssio, " Std Abs Diff: ", numpy.std(numpy.absolute( - nv - ov)) + print(" Max Abs Diff: ", numpy.max(numpy.absolute(nv - + ov)), file=ssio) + print(" Mean Abs Diff: ", numpy.mean(numpy.absolute(nv - + ov)), file=ssio) + print(" Median Abs Diff: ", numpy.median(numpy.absolute( + nv - ov)), file=ssio) + print(" Std Abs Diff: ", numpy.std(numpy.absolute( + nv - ov)), file=ssio) # N.B. the maximum(..., 1e-8) protects against div by 0 when # nv == ov == 0 @@ -304,23 +304,23 @@ / numpy.maximum( numpy.absolute(nv) + numpy.absolute(ov), 1e-8)) - print >> ssio, " Max Rel Diff: ", numpy.max(reldiff) - print >> ssio, " Mean Rel Diff: ", numpy.mean(reldiff) - print >> ssio, " Median Rel Diff: ", numpy.median(reldiff) - print >> ssio, " Std Rel Diff: ", numpy.std(reldiff) + print(" Max Rel Diff: ", numpy.max(reldiff), file=ssio) + print(" Mean Rel Diff: ", numpy.mean(reldiff), file=ssio) + print(" Median Rel Diff: ", numpy.median(reldiff), file=ssio) + print(" Std Rel Diff: ", numpy.std(reldiff), file=ssio) # only if all succeeds to we add anything to sio - print >> sio, ssio.getvalue() + print(ssio.getvalue(), file=sio) except Exception: pass - print >> sio, " Reason: ", str(self.reason) - print >> sio, " Old Graph:" - print >> sio, self.old_graph - print >> sio, " New Graph:" - print >> sio, self.new_graph - print >> sio, "" - print >> sio, "Hint: relax the tolerance by setting tensor.cmp_sloppy=1" - print >> sio, " or even tensor.cmp_sloppy=2 for less-strict comparison" + print(" Reason: ", str(self.reason), file=sio) + print(" Old Graph:", file=sio) + print(self.old_graph, file=sio) + print(" New Graph:", file=sio) + print(self.new_graph, file=sio) + print("", file=sio) + print("Hint: relax the tolerance by setting tensor.cmp_sloppy=1", file=sio) + print(" or even tensor.cmp_sloppy=2 for less-strict comparison", file=sio) return sio.getvalue() @@ -338,33 +338,33 @@ def __str__(self): sio = StringIO() - print >> sio, " node:", self.node - print >> sio, " perform:", self.perform - print >> sio, " node.inputs:", [(str(i), id(i)) - for i in self.node.inputs] - print >> sio, " destroy_map:", getattr(self.node.op, - 'destroy_map', {}) - print >> sio, " changed input idx:", self.idx - print >> sio, " changed input type:", self.node.inputs[self.idx].type - print >> sio, " repr (old val):", repr(self.old_val) - print >> sio, " repr (new val):", repr(self.new_val) + print(" node:", self.node, file=sio) + print(" perform:", self.perform, file=sio) + print(" node.inputs:", [(str(i), id(i)) + for i in self.node.inputs], file=sio) + print(" destroy_map:", getattr(self.node.op, + 'destroy_map', {}), file=sio) + print(" changed input idx:", self.idx, file=sio) + print(" changed input type:", self.node.inputs[self.idx].type, file=sio) + print(" repr (old val):", repr(self.old_val), file=sio) + print(" repr (new val):", repr(self.new_val), file=sio) try: npy_old_val = numpy.asarray(self.old_val) npy_new_val = numpy.asarray(self.new_val) - print >> sio, " value dtype (new old):", npy_new_val.dtype, npy_old_val.dtype - print >> sio, " value shape (new old):", npy_new_val.shape, npy_old_val.shape - print >> sio, " value min (new old):", npy_new_val.min(), npy_old_val.min() - print >> sio, " value max (new old):", npy_new_val.max(), npy_old_val.max() + print(" value dtype (new old):", npy_new_val.dtype, npy_old_val.dtype, file=sio) + print(" value shape (new old):", npy_new_val.shape, npy_old_val.shape, file=sio) + print(" value min (new old):", npy_new_val.min(), npy_old_val.min(), file=sio) + print(" value max (new old):", npy_new_val.max(), npy_old_val.max(), file=sio) delta = npy_new_val - npy_old_val - print >> sio, " value min (new-old):", delta.min() - print >> sio, " value max (new-old):", delta.max() - print >> sio, " value argmin (new-old):", numpy.unravel_index(delta.argmin(), npy_new_val.shape) - print >> sio, " value argmax (new-old):", numpy.unravel_index(delta.argmax(), npy_new_val.shape) - print >> sio, " location of first 10 mismatches:", numpy.transpose(numpy.nonzero(delta))[:10] - print >> sio, "" - except Exception, e: - print >> sio, "(Numpy-hints failed with: %s)" %str(e) - print >> sio, " Hint: this can also be caused by a deficient values_eq_approx() or __eq__() implementation [which compared input values]" + print(" value min (new-old):", delta.min(), file=sio) + print(" value max (new-old):", delta.max(), file=sio) + print(" value argmin (new-old):", numpy.unravel_index(delta.argmin(), npy_new_val.shape), file=sio) + print(" value argmax (new-old):", numpy.unravel_index(delta.argmax(), npy_new_val.shape), file=sio) + print(" location of first 10 mismatches:", numpy.transpose(numpy.nonzero(delta))[:10], file=sio) + print("", file=sio) + except Exception as e: + print("(Numpy-hints failed with: %s)" %str(e), file=sio) + print(" Hint: this can also be caused by a deficient values_eq_approx() or __eq__() implementation [which compared input values]", file=sio) return sio.getvalue() @@ -383,20 +383,20 @@ def __str__(self): sio = StringIO() - print >> sio, " node:", self.node - print >> sio, " node.inputs:", [(str(i), id(i)) - for i in self.node.inputs] - print >> sio, " node.outputs:", [(str(i), id(i)) - for i in self.node.outputs] - print >> sio, " view_map:", getattr(self.node.op, 'view_map', {}) - print >> sio, " destroy_map:", getattr(self.node.op, - 'destroy_map', {}) - print >> sio, " aliased output:", self.output_idx - print >> sio, " aliased output storage:", self.out_storage + print(" node:", self.node, file=sio) + print(" node.inputs:", [(str(i), id(i)) + for i in self.node.inputs], file=sio) + print(" node.outputs:", [(str(i), id(i)) + for i in self.node.outputs], file=sio) + print(" view_map:", getattr(self.node.op, 'view_map', {}), file=sio) + print(" destroy_map:", getattr(self.node.op, + 'destroy_map', {}), file=sio) + print(" aliased output:", self.output_idx, file=sio) + print(" aliased output storage:", self.out_storage, file=sio) if self.in_alias_idx: - print >> sio, " aliased to inputs:", self.in_alias_idx + print(" aliased to inputs:", self.in_alias_idx, file=sio) if self.out_alias_idx: - print >> sio, " aliased to outputs:", self.out_alias_idx + print(" aliased to outputs:", self.out_alias_idx, file=sio) return sio.getvalue() @@ -580,20 +580,20 @@ id_str = get_id_str(a) if len(a.outputs) == 1: - print >> file, '%s%s %s%s \'%s\' %s %s %s' % (prefix, a.op, + print('%s%s %s%s \'%s\' %s %s %s' % (prefix, a.op, id_str, type_str, r_name, destroy_map_str, view_map_str, - o) + o), file=file) else: - print >> file, '%s%s.%i %s%s \'%s\' %s %s %s' % (prefix, a.op, + print('%s%s.%i %s%s \'%s\' %s %s %s' % (prefix, a.op, a.outputs.index(r), id_str, type_str, r_name, destroy_map_str, view_map_str, - o) + o), file=file) if not already_printed: if (not stop_on_name or not (hasattr(r, 'name') and r.name is not None)): @@ -610,7 +610,7 @@ else: #this is an input variable id_str = get_id_str(r) - print >> file, '%s%s %s%s' % (prefix, r, id_str, type_str) + print('%s%s %s%s' % (prefix, r, id_str, type_str), file=file) return file @@ -664,7 +664,7 @@ for feature in std_fgraph.features: fgraph.attach_feature(feature()) - return fgraph, map(SymbolicOutput, updates), equivalence_tracker + return fgraph, list(map(SymbolicOutput, updates)), equivalence_tracker def _check_inputs(node, storage_map, r_vals, dr_vals, active_nodes, @@ -678,13 +678,13 @@ """ destroyed_idx_list = [] destroy_map = getattr(node.op, 'destroy_map', {}) - for o_pos, i_pos_list in destroy_map.iteritems(): + for o_pos, i_pos_list in destroy_map.items(): destroyed_idx_list.extend(i_pos_list) destroyed_res_list = [node.inputs[i] for i in destroyed_idx_list] actually_inplace_outputs = [] dmap = getattr(node.op, 'destroy_map', {}) - for oo, ii in dmap.iteritems(): + for oo, ii in dmap.items(): out_var = storage_map[node.outputs[oo]][0] in_var = storage_map[node.inputs[ii[0]]][0] if _may_share_memory(out_var, in_var): @@ -701,7 +701,7 @@ ii[0], str(node)) vmap = getattr(node.op, 'view_map', {}) - for oo, ii in vmap.iteritems(): + for oo, ii in vmap.items(): out_var = storage_map[node.outputs[oo]][0] in_var = storage_map[node.inputs[ii[0]]][0] if _may_share_memory(out_var, in_var): @@ -780,10 +780,10 @@ #TODO: make sure this is correct # According to OB, duplicate inputs are rejected on build graph time # if they cause problems. So if they are here it should be ok. - for key, val in good_alias.iteritems(): + for key, val in good_alias.items(): bad_alias.pop(key, None) if bad_alias: - raise BadViewMap(node, oi, outstorage, bad_alias.values()) + raise BadViewMap(node, oi, outstorage, list(bad_alias.values())) #if its not aliased to input, check output->output aliasing if not good_alias and _is_used_in_graph(onode): @@ -834,7 +834,7 @@ if warn_err == 2: raise e else: - print >> sys.stderr, 'WARNING:', e + print('WARNING:', e, file=sys.stderr) def _lessbroken_deepcopy(a): @@ -916,7 +916,7 @@ #identify equivalence sets that are broken equivalence_sets_broken = {} # id(set) -> Bool there_is_a_problem = False - for r, r_equiv in equivalence_sets.iteritems(): + for r, r_equiv in equivalence_sets.items(): if id(r_equiv) not in equivalence_sets_broken: equivalence_sets_broken[id(r_equiv)] = False #loop over the variables in the set comparing them to be @@ -941,7 +941,7 @@ if equivalence_sets_broken[id(r_equiv)]: first_broken_set = r_equiv #TODO finish this to produce good diagnostic information - print first_broken_set + print(first_broken_set) raise Exception('broken') @@ -1094,7 +1094,7 @@ # is c-contiguous, so we transpose it before and after. new_buf = CudaNdarray(new_buf.T) new_buf = cuda_dimshuffle(new_buf, - range(new_buf.ndim)[::-1]) + list(range(new_buf.ndim))[::-1]) f_cont_outputs[r] = new_buf @@ -1258,7 +1258,7 @@ dmap = getattr(node.op, 'destroy_map', {}) vmap = getattr(node.op, 'view_map', {}) for i, r in enumerate(node.inputs): - if any(i in v for v in (dmap.values() + vmap.values())): + if any(i in v for v in (list(dmap.values()) + list(vmap.values()))): aliased_inputs.add(r) _logger.debug('starting preallocated output checking') @@ -1515,9 +1515,9 @@ def printstuff(self): for key in self.equiv: - print key + print(key) for e in self.equiv[key]: - print ' ', e + print(' ', e) #List of default version of make thunk. @@ -1616,7 +1616,7 @@ # raises an not implemented exception), so in those cases we # consider that we don't have a python implementation if ((self.maker.mode.check_py_code or thunks_c[-1] is None) and - node.op.perform.func_code != gof.op.PureOp.perform.func_code): + node.op.perform.__code__ != gof.op.PureOp.perform.__code__): p = node.op.perform thunk = (lambda p=p, i=node_input_storage, o=node_output_storage, @@ -1629,7 +1629,7 @@ thunks_py.append(None) # If the op define its own make_thunk, check it - if node.op.make_thunk.im_func not in default_make_thunk: + if node.op.make_thunk.__func__ not in default_make_thunk: compute_map = {} for k in node.inputs: compute_map[k] = [True] @@ -1675,7 +1675,7 @@ # use new memory storage when it is needed, in particular for the # function's outputs. no_recycling_map will be used in f() below. if self.no_recycling is True: - no_recycling_map = storage_map.values() + no_recycling_map = list(storage_map.values()) no_recycling_map = utils.difference(no_recycling_map, input_storage) else: no_recycling_map = [storage_map[r] for r in self.no_recycling @@ -1756,9 +1756,9 @@ # Precondition: the storage map is empty, transferred # completely to r_vals ##### - for r, s in storage_map.iteritems(): + for r, s in storage_map.items(): if s[0] is not None: - print r, s + print(r, s) assert s[0] is None #try: @@ -1860,7 +1860,7 @@ # Inputs marked as viewd are unsafe too, # because the corresponding output can # be destroyed. - if any(i in v for v in (dmap.values() + vmap.values())): + if any(i in v for v in (list(dmap.values()) + list(vmap.values()))): storage_map[r][0] = _lessbroken_deepcopy(r_vals[r]) clobber = False @@ -1964,7 +1964,7 @@ # Nothing should be in storage map after evaluating # each the thunk (specifically the last one) - for r, s in storage_map.iteritems(): + for r, s in storage_map.items(): assert type(s) is list assert s[0] is None @@ -2093,7 +2093,7 @@ inputs = [inputs] # Wrap them in In or Out instances if needed. - inputs, outputs = map(self.wrap_in, inputs), map(self.wrap_out, outputs) + inputs, outputs = list(map(self.wrap_in, inputs)), list(map(self.wrap_out, outputs)) _inputs = gof.graph.inputs([o.variable for o in outputs] + [i.update for i in inputs if getattr(i, 'update', False)]) @@ -2106,7 +2106,7 @@ indices = [[input] + self.expand_in(input, _inputs) for input in inputs] # make the fgraph - for i in xrange(mode.stability_patience): + for i in range(mode.stability_patience): fgraph, additional_outputs, equivalence_tracker = _optcheck_fgraph( inputs, outputs, accept_inplace) fgraph.equivalence_tracker = equivalence_tracker @@ -2130,21 +2130,21 @@ l0 = fgraph0.equivalence_tracker.event_list if li != l0 : infolog = StringIO() - print >> infolog, "WARNING: Optimization process is unstable..." - print >> infolog, " (HINT: Ops that the nodes point to must compare equal)" - print >> infolog, "(event index) (one event trace) (other event trace)" - print >> infolog, "-----------------------------------------------------" - for j in xrange(max(len(li), len(l0))): + print("WARNING: Optimization process is unstable...", file=infolog) + print(" (HINT: Ops that the nodes point to must compare equal)", file=infolog) + print("(event index) (one event trace) (other event trace)", file=infolog) + print("-----------------------------------------------------", file=infolog) + for j in range(max(len(li), len(l0))): if j >= len(li): - print >> infolog, 'trailing event in optimization 0 :', j - print >> infolog, ' ', str(l0[j]) + print('trailing event in optimization 0 :', j, file=infolog) + print(' ', str(l0[j]), file=infolog) elif j >= len(l0): - print >> infolog, 'trailing event in optimization', i, ':', j - print >> infolog, ' ', str(li[j]) + print('trailing event in optimization', i, ':', j, file=infolog) + print(' ', str(li[j]), file=infolog) elif li[j] != l0[j]: - print >>infolog, 'non-equal optimization events', i, ':', j - print >>infolog, ' ', str(l0[j]) - print >>infolog, ' ', str(li[j]) + print('non-equal optimization events', i, ':', j, file=infolog) + print(' ', str(l0[j]), file=infolog) + print(' ', str(li[j]), file=infolog) #print >> infolog, "* ", j, RefactoringTool: Refactored ./theano/compile/builders.py RefactoringTool: Refactored ./theano/compat/six.py #if j < len(li): # msg = str(li[j]) @@ -2161,8 +2161,8 @@ raise StochasticOrder(infolog.getvalue()) else: if self.verbose: - print >> sys.stderr, "OPTCHECK: optimization", i, \ - "of", len(li), "events was stable." + print("OPTCHECK: optimization", i, \ + "of", len(li), "events was stable.", file=sys.stderr) else: fgraph0 = fgraph @@ -2177,7 +2177,7 @@ no_borrow = [ output - for output, spec in izip(fgraph.outputs, + for output, spec in zip(fgraph.outputs, outputs + additional_outputs) if not spec.borrow] if no_borrow: @@ -2215,7 +2215,7 @@ # The following loop is to fill in the input_storage and _defaults # lists. - for (input, indices, subinputs), default in izip(self.indices, + for (input, indices, subinputs), default in zip(self.indices, defaults): __default = default @@ -2311,7 +2311,7 @@ def _pickle_DebugMode_Maker(maker): raise NotImplementedError('DebugMode is not picklable (yet)') -copy_reg.pickle(_Maker, _pickle_DebugMode_Maker) +copyreg.pickle(_Maker, _pickle_DebugMode_Maker) ######################## # --- ./theano/compile/builders.py (original) +++ ./theano/compile/builders.py (refactored) @@ -59,7 +59,7 @@ # all inputs and outputs as connected. This will compute the right numerical # value for the gradients but could fail to raise the disconnected inputs error # in some cases. - gs = G.grad(cost=None, known_grads=dict(zip(self.outputs, output_grads)), + gs = G.grad(cost=None, known_grads=dict(list(zip(self.outputs, output_grads))), wrt=self.inputs, disconnected_inputs='ignore') self.grad_ops = [] for g in gs: --- ./theano/compat/six.py (original) +++ ./theano/compat/six.py (refactored) @@ -39,10 +39,10 @@ MAXSIZE = sys.maxsize else: - string_types = basestring, - integer_types = (int, long) - class_types = (type, types.ClassType) - text_type = unicode + string_types = str, + integer_types = (int, int) + class_types = (type, type) + text_type = str binary_type = str if sys.platform.startswith("java"): @@ -231,7 +231,7 @@ advance_iterator = next except NameError: def advance_iterator(it): - return it.next() + return it.__next__() next = advance_iterator @@ -249,11 +249,11 @@ Iterator = object else: def get_unbound_function(unbound): - return unbound.im_func + return unbound.__func__ class Iterator(object): - def next(self): + def __next__(self): return type(self).__next__(self) callable = callable @@ -298,10 +298,10 @@ def b(s): return s def u(s): - return unicode(s, "unicode_escape") + return str(s, "unicode_escape") int2byte = chr - import StringIO - StringIO = BytesIO = StringIO.StringIO + import io + StringIO = BytesIO = io.StringIO _add_doc(b, """Byte literal""") _add_doc(u, """Text literal""") @@ -345,19 +345,19 @@ if fp is None: return def write(data): - if not isinstance(data, basestring): + if not isinstance(data, str): data = str(data) fp.write(data) want_unicode = False sep = kwargs.pop("sep", None) if sep is not None: - if isinstance(sep, unicode): + if isinstance(sep, str): want_unicode = True elif not isinstance(sep, str): raise TypeError("sep must be None or a string") end = kwargs.pop("end", None) if end is not None: - RefactoringTool: Refactored ./theano/compat/python2x.py if isinstance(end, unicode): + if isinstance(end, str): want_unicode = True elif not isinstance(end, str): raise TypeError("end must be None or a string") @@ -365,12 +365,12 @@ raise TypeError("invalid keyword arguments to print()") if not want_unicode: for arg in args: - if isinstance(arg, unicode): + if isinstance(arg, str): want_unicode = True break if want_unicode: - newline = unicode("\n") - space = unicode(" ") + newline = str("\n") + space = str(" ") else: newline = "\n" space = " " --- ./theano/compat/python2x.py (original) +++ ./theano/compat/python2x.py (refactored) @@ -76,7 +76,7 @@ else: args = self.default_factory, # consider replacing items() with iteritems() - return type(self), args, None, None, self.items() + return type(self), args, None, None, list(self.items()) def copy(self): return self.__copy__() @@ -87,7 +87,7 @@ def __deepcopy__(self, memo): import copy return type(self)(self.default_factory, - copy.deepcopy(self.items())) + copy.deepcopy(list(self.items()))) def __repr__(self): return 'defaultdict(%s, %s)' % (self.default_factory, @@ -96,9 +96,9 @@ else: # Only bother with this else clause and the __all__ line if you are putting # this in a separate file. - import __builtin__ - all = __builtin__.all - any = __builtin__.any + import builtins + all = builtins.all + any = builtins.any import collections import functools partial = functools.partial @@ -116,10 +116,10 @@ n = len(pool) if r > n: return - indices = range(r) + indices = list(range(r)) yield tuple(pool[i] for i in indices) while True: - for i in reversed(range(r)): + for i in reversed(list(range(r))): if indices[i] != i + n - r: break else: @@ -132,7 +132,7 @@ def product(*args, **kwds): # product('ABCD', 'xy') --> Ax Ay Bx By Cx Cy Dx Dy # product(range(2), repeat=3) --> 000 001 010 011 100 101 110 111 - pools = map(tuple, args) * kwds.get('repeat', 1) + pools = list(map(tuple, args)) * kwds.get('repeat', 1) result = [[]] for pool in pools: result = [x + [y] for x in result for y in pool] @@ -239,9 +239,9 @@ if not self: raise KeyError('dictionary is empty') if last: - key = reversed(self).next() + key = next(reversed(self)) else: - key = iter(self).next() + key = next(iter(self)) value = self.pop(key) return key, value @@ -270,7 +270,7 @@ def __repr__(self): if not self: return '%s()' % (self.__class__.__name__,) - return '%s(%r)' % (self.__class__.__name__, self.items()) + return '%s(%r)' % (self.__class__.__name__, list(self.items())) def copy(self): return self.__class__(self) @@ -286,7 +286,7 @@ if isinstance(other, OrderedDict): if len(self) != len(other): return False - for p, q in zip(self.items(), other.items()): + for p, q in zip(list(self.items()), list(other.items())): if p != q: return False return True @@ -323,7 +323,7 @@ from operator import itemgetter from heapq import nlargest - from itertools import repeat, ifilter + from itertools import repeat class Counter(dict): '''Dict subclass for counting hashable objects. RefactoringTool: No changes to ./theano/compat/__init__.py RefactoringTool: Refactored ./theano/__init__.py RefactoringTool: Refactored ./setup.py RefactoringTool: Files that were modified: RefactoringTool: ./theano/version.py RefactoringTool: ./theano/updates.py RefactoringTool: ./theano/tests/unittest_tools.py RefactoringTool: ./theano/tests/test_updates.py RefactoringTool: ./theano/tests/test_tutorial.py RefactoringTool: ./theano/tests/test_rop.py RefactoringTool: ./theano/tests/test_printing.py RefactoringTool: ./theano/tests/test_ifelse.py RefactoringTool: ./theano/tests/test_gradient.py RefactoringTool: ./theano/tests/test_determinism.py RefactoringTool: ./theano/tests/test_config.py RefactoringTool: ./theano/tests/test_2nd_order_grads.py RefactoringTool: ./theano/tests/run_tests_in_batch.py RefactoringTool: ./theano/tests/record.py RefactoringTool: ./theano/tests/main.py RefactoringTool: ./theano/tests/diverse_tests.py RefactoringTool: ./theano/tests/disturb_mem.py RefactoringTool: ./theano/tests/__init__.py RefactoringTool: ./theano/tensor/xlogx.py RefactoringTool: ./theano/tensor/var.py RefactoringTool: ./theano/tensor/utils.py RefactoringTool: ./theano/tensor/type_other.py RefactoringTool: ./theano/tensor/type.py RefactoringTool: ./theano/tensor/tests/test_xlogx.py RefactoringTool: ./theano/tensor/tests/test_utils.py RefactoringTool: ./theano/tensor/tests/test_subtensor.py RefactoringTool: ./theano/tensor/tests/test_sort.py RefactoringTool: ./theano/tensor/tests/test_sharedvar.py RefactoringTool: ./theano/tensor/tests/test_shared_randomstreams.py RefactoringTool: ./theano/tensor/tests/test_raw_random.py RefactoringTool: ./theano/tensor/tests/test_randomstreams.py RefactoringTool: ./theano/tensor/tests/test_opt_uncanonicalize.py RefactoringTool: ./theano/tensor/tests/test_opt.py RefactoringTool: ./theano/tensor/tests/test_naacl09.py RefactoringTool: ./theano/tensor/tests/test_mpi.py RefactoringTool: ./theano/tensor/tests/test_misc.py 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./theano/misc/buildbot_filter.py RefactoringTool: ./theano/ifelse.py RefactoringTool: ./theano/gradient.py RefactoringTool: ./theano/gof/vm.py RefactoringTool: ./theano/gof/utils.py RefactoringTool: ./theano/gof/unify.py RefactoringTool: ./theano/gof/type.py RefactoringTool: ./theano/gof/toolbox.py RefactoringTool: ./theano/gof/tests/test_vm.py RefactoringTool: ./theano/gof/tests/test_utils.py RefactoringTool: ./theano/gof/tests/test_toolbox.py RefactoringTool: ./theano/gof/tests/test_sched.py RefactoringTool: ./theano/gof/tests/test_optdb.py RefactoringTool: ./theano/gof/tests/test_opt.py RefactoringTool: ./theano/gof/tests/test_op.py RefactoringTool: ./theano/gof/tests/test_link.py RefactoringTool: ./theano/gof/tests/test_lazy.py RefactoringTool: ./theano/gof/tests/test_graph.py RefactoringTool: ./theano/gof/tests/test_destroyhandler.py RefactoringTool: ./theano/gof/tests/test_compute_test_value.py RefactoringTool: ./theano/gof/tests/test_cmodule.py RefactoringTool: 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./theano/compile/tests/test_pfunc.py RefactoringTool: ./theano/compile/tests/test_monitormode.py RefactoringTool: ./theano/compile/tests/test_module.py RefactoringTool: ./theano/compile/tests/test_modes.py RefactoringTool: ./theano/compile/tests/test_misc.py RefactoringTool: ./theano/compile/tests/test_inplace_opt_for_value.py RefactoringTool: ./theano/compile/tests/test_function_module.py RefactoringTool: ./theano/compile/tests/test_debugmode.py RefactoringTool: ./theano/compile/tests/test_builders.py RefactoringTool: ./theano/compile/sharedvalue.py RefactoringTool: ./theano/compile/profiling.py RefactoringTool: ./theano/compile/profilemode.py RefactoringTool: ./theano/compile/pfunc.py RefactoringTool: ./theano/compile/ops.py RefactoringTool: ./theano/compile/monitormode.py RefactoringTool: ./theano/compile/module.py RefactoringTool: ./theano/compile/mode.py RefactoringTool: ./theano/compile/io.py RefactoringTool: ./theano/compile/function_module.py RefactoringTool: ./theano/compile/function.py RefactoringTool: ./theano/compile/debugmode.py RefactoringTool: ./theano/compile/builders.py RefactoringTool: ./theano/compat/six.py RefactoringTool: ./theano/compat/python2x.py RefactoringTool: ./theano/compat/__init__.py RefactoringTool: ./theano/__init__.py RefactoringTool: ./setup.py RefactoringTool: Warnings/messages while refactoring: RefactoringTool: ### In file ./theano/tensor/var.py ### RefactoringTool: Line 531: You should use 'operator.mul(self, repeats, axis)' here. RefactoringTool: ### In file ./theano/tensor/tests/test_extra_ops.py ### RefactoringTool: Line 226: You should use 'operator.mul(x, r_var, axis=axis)' here. RefactoringTool: Line 239: You should use 'operator.mul(x, r_var, axis=axis)' here. RefactoringTool: ### In file ./theano/sparse/sandbox/test_sp.py ### RefactoringTool: Line 17: Calls to builtin next() possibly shadowed by global binding RefactoringTool: ### In file ./theano/gof/cmodule.py ### RefactoringTool: Line 27: Calls to builtin next() possibly shadowed by global binding RefactoringTool: ### In file ./theano/compat/six.py ### RefactoringTool: Line 235: Calls to builtin next() possibly shadowed by global binding RefactoringTool: ### In file ./theano/compat/python2x.py ### RefactoringTool: Line 378: You should use 'operator.mul(None, count)' here. RefactoringTool: ### In file ./theano/compat/__init__.py ### RefactoringTool: Line 6: Calls to builtin next() possibly shadowed by global binding Sometimes called a bag @@ -360,8 +360,8 @@ ''' if n is None: - return sorted(self.iteritems(), key=itemgetter(1), reverse=True) - return nlargest(n, self.iteritems(), key=itemgetter(1)) + return sorted(iter(self.items()), key=itemgetter(1), reverse=True) + return nlargest(n, iter(self.items()), key=itemgetter(1)) def elements(self): '''Iterator over elements repeating each as many times as its count. @@ -374,7 +374,7 @@ elements() will ignore it. ''' - for elem, count in self.iteritems(): + for elem, count in self.items(): for _ in repeat(None, count): yield elem @@ -402,7 +402,7 @@ if hasattr(iterable, 'iteritems'): if self: self_get = self.get - for elem, count in iterable.iteritems(): + for elem, count in iterable.items(): self[elem] = self_get(elem, 0) + count else: dict.update(self, iterable) # fast path when counter is empty @@ -500,7 +500,7 @@ result = Counter() if len(self) < len(other): self, other = other, self - for elem in ifilter(self.__contains__, other): + for elem in filter(self.__contains__, other): newcount = _min(self[elem], other[elem]) if newcount > 0: result[elem] = newcount @@ -542,7 +542,7 @@ args = tuple() else: args = self.default_factory, - return type(self), args, None, None, self.items() + return type(self), args, None, None, list(self.items()) def copy(self): return self.__copy__() --- ./theano/__init__.py (original) +++ ./theano/__init__.py (refactored) @@ -140,12 +140,12 @@ if rval == NotImplemented and hasattr(l, '__dot__'): try: rval = l.__dot__(r) - except Exception, e0: + except Exception as e0: rval = NotImplemented if rval == NotImplemented and hasattr(r, '__rdot__'): try: rval = r.__rdot__(l) - except Exception, e1: + except Exception as e1: rval = NotImplemented if rval == NotImplemented: raise NotImplementedError("Dot failed for the following reasons:", --- ./setup.py (original) +++ ./setup.py (refactored) @@ -59,7 +59,7 @@ URL = "http://deeplearning.net/software/theano/" DOWNLOAD_URL = "" LICENSE = 'BSD' -CLASSIFIERS = filter(None, CLASSIFIERS.split('\n')) +CLASSIFIERS = [_f for _f in CLASSIFIERS.split('\n') if _f] AUTHOR = "LISA laboratory, University of Montreal" AUTHOR_EMAIL = "theano-dev@googlegroups.com" PLATFORMS = ["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"] ++ find ./ -name '*.py' + sed -i 's|#!/usr/bin/env python|#!/usr/bin/env python3|' ./theano/version.py ./theano/updates.py ./theano/tests/unittest_tools.py ./theano/tests/test_updates.py ./theano/tests/test_tutorial.py ./theano/tests/test_rop.py ./theano/tests/test_printing.py ./theano/tests/test_ifelse.py ./theano/tests/test_gradient.py ./theano/tests/test_determinism.py ./theano/tests/test_config.py ./theano/tests/test_2nd_order_grads.py ./theano/tests/run_tests_in_batch.py ./theano/tests/record.py ./theano/tests/main.py ./theano/tests/diverse_tests.py ./theano/tests/disturb_mem.py ./theano/tests/__init__.py ./theano/tensor/xlogx.py ./theano/tensor/var.py ./theano/tensor/utils.py ./theano/tensor/type_other.py ./theano/tensor/type.py ./theano/tensor/tests/test_xlogx.py ./theano/tensor/tests/test_utils.py ./theano/tensor/tests/test_subtensor.py ./theano/tensor/tests/test_sort.py ./theano/tensor/tests/test_sharedvar.py ./theano/tensor/tests/test_shared_randomstreams.py ./theano/tensor/tests/test_raw_random.py ./theano/tensor/tests/test_randomstreams.py ./theano/tensor/tests/test_opt_uncanonicalize.py ./theano/tensor/tests/test_opt.py ./theano/tensor/tests/test_naacl09.py ./theano/tensor/tests/test_mpi.py ./theano/tensor/tests/test_misc.py ./theano/tensor/tests/test_merge.py ./theano/tensor/tests/test_keepdims.py ./theano/tensor/tests/test_io.py ./theano/tensor/tests/test_inc_subtensor.py ./theano/tensor/tests/test_gc.py ./theano/tensor/tests/test_fourier.py ./theano/tensor/tests/test_extra_ops.py ./theano/tensor/tests/test_elemwise.py ./theano/tensor/tests/test_complex.py ./theano/tensor/tests/test_casting.py ./theano/tensor/tests/test_blas_scipy.py ./theano/tensor/tests/test_blas_c.py ./theano/tensor/tests/test_blas.py ./theano/tensor/tests/test_basic.py ./theano/tensor/tests/mlp_test.py ./theano/tensor/tests/_test_mpi_roundtrip.py ./theano/tensor/tests/__init__.py ./theano/tensor/subtensor.py ./theano/tensor/sort.py ./theano/tensor/signal/tests/test_downsample.py ./theano/tensor/signal/tests/test_conv.py ./theano/tensor/signal/tests/__init__.py ./theano/tensor/signal/downsample.py ./theano/tensor/signal/conv.py ./theano/tensor/signal/__init__.py ./theano/tensor/sharedvar.py ./theano/tensor/shared_randomstreams.py ./theano/tensor/raw_random.py ./theano/tensor/randomstreams.py ./theano/tensor/opt_uncanonicalize.py ./theano/tensor/opt.py ./theano/tensor/nnet/tests/test_sigm.py ./theano/tensor/nnet/tests/test_nnet.py ./theano/tensor/nnet/tests/test_conv3d2d.py ./theano/tensor/nnet/tests/test_conv3d.py ./theano/tensor/nnet/tests/test_conv.py ./theano/tensor/nnet/tests/speed_test_conv.py ./theano/tensor/nnet/tests/__init__.py ./theano/tensor/nnet/sigm.py ./theano/tensor/nnet/nnet.py ./theano/tensor/nnet/conv3d2d.py ./theano/tensor/nnet/conv.py ./theano/tensor/nnet/__init__.py ./theano/tensor/nnet/ConvTransp3D.py ./theano/tensor/nnet/ConvGrad3D.py ./theano/tensor/nnet/Conv3D.py ./theano/tensor/io.py ./theano/tensor/inplace.py ./theano/tensor/fourier.py ./theano/tensor/extra_ops.py ./theano/tensor/elemwise_cgen.py ./theano/tensor/elemwise.py ./theano/tensor/deprecated/test_rmodule.py ./theano/tensor/deprecated/rmodule.py ./theano/tensor/deprecated/__init__.py ./theano/tensor/blas_scipy.py ./theano/tensor/blas_headers.py ./theano/tensor/blas_c.py ./theano/tensor/blas.py ./theano/tensor/basic.py ./theano/tensor/__init__.py ./theano/sparse/utils.py ./theano/sparse/type.py ./theano/sparse/tests/test_utils.py ./theano/sparse/tests/test_sp2.py ./theano/sparse/tests/test_opt.py ./theano/sparse/tests/test_basic.py ./theano/sparse/tests/__init__.py ./theano/sparse/sharedvar.py ./theano/sparse/sandbox/truedot.py ./theano/sparse/sandbox/test_sp.py ./theano/sparse/sandbox/sp2.py ./theano/sparse/sandbox/sp.py ./theano/sparse/sandbox/__init__.py ./theano/sparse/opt.py ./theano/sparse/basic.py ./theano/sparse/__init__.py ./theano/scan_module/tests/test_scan_opt.py ./theano/scan_module/tests/test_scan.py ./theano/scan_module/tests/__init__.py ./theano/scan_module/scan_views.py ./theano/scan_module/scan_utils.py ./theano/scan_module/scan_perform_ext.py ./theano/scan_module/scan_opt.py ./theano/scan_module/scan_op.py ./theano/scan_module/scan.py ./theano/scan_module/__init__.py ./theano/scalar/tests/test_basic_sympy.py ./theano/scalar/tests/test_basic.py ./theano/scalar/tests/__init__.py ./theano/scalar/sharedvar.py ./theano/scalar/basic_sympy.py ./theano/scalar/basic_scipy.py ./theano/scalar/basic.py ./theano/scalar/__init__.py ./theano/sandbox/theano_object.py ./theano/sandbox/test_theano_object.py ./theano/sandbox/test_scan.py ./theano/sandbox/test_rng_mrg.py ./theano/sandbox/test_neighbours.py ./theano/sandbox/test_neighbourhoods.py ./theano/sandbox/test_multinomial.py ./theano/sandbox/symbolic_module.py ./theano/sandbox/solve.py ./theano/sandbox/softsign.py ./theano/sandbox/scan_module/tests/test_utils.py ./theano/sandbox/scan_module/tests/test_scan.py ./theano/sandbox/scan_module/tests/__init__.py ./theano/sandbox/scan_module/scan_utils.py ./theano/sandbox/scan_module/scan_op.py ./theano/sandbox/scan_module/scan.py ./theano/sandbox/scan_module/__init__.py ./theano/sandbox/scan.py ./theano/sandbox/rng_mrg.py ./theano/sandbox/neighbours.py ./theano/sandbox/neighbourhoods.py ./theano/sandbox/multinomial.py ./theano/sandbox/minimal.py ./theano/sandbox/linalg/tests/test_linalg.py ./theano/sandbox/linalg/tests/test_kron.py ./theano/sandbox/linalg/tests/__init__.py ./theano/sandbox/linalg/ops.py ./theano/sandbox/linalg/kron.py ./theano/sandbox/linalg/__init__.py ./theano/sandbox/gpuarray/type.py ./theano/sandbox/gpuarray/tests/test_type.py ./theano/sandbox/gpuarray/tests/test_subtensor.py ./theano/sandbox/gpuarray/tests/test_opt.py ./theano/sandbox/gpuarray/tests/test_elemwise.py ./theano/sandbox/gpuarray/tests/test_blas.py ./theano/sandbox/gpuarray/tests/test_basic_ops.py ./theano/sandbox/gpuarray/tests/__init__.py ./theano/sandbox/gpuarray/subtensor.py ./theano/sandbox/gpuarray/opt.py ./theano/sandbox/gpuarray/elemwise.py ./theano/sandbox/gpuarray/blas.py ./theano/sandbox/gpuarray/basic_ops.py ./theano/sandbox/gpuarray/__init__.py ./theano/sandbox/fourier.py ./theano/sandbox/downsample.py ./theano/sandbox/debug.py ./theano/sandbox/cuda/var.py ./theano/sandbox/cuda/type.py ./theano/sandbox/cuda/tests/walltime.py ./theano/sandbox/cuda/tests/test_viewop.py ./theano/sandbox/cuda/tests/test_var.py ./theano/sandbox/cuda/tests/test_tensor_op.py ./theano/sandbox/cuda/tests/test_rng_curand.py ./theano/sandbox/cuda/tests/test_opt.py ./theano/sandbox/cuda/tests/test_nvcc_compiler.py ./theano/sandbox/cuda/tests/test_nnet.py ./theano/sandbox/cuda/tests/test_neighbours.py ./theano/sandbox/cuda/tests/test_mlp.py ./theano/sandbox/cuda/tests/test_memory.py ./theano/sandbox/cuda/tests/test_gradient.py ./theano/sandbox/cuda/tests/test_driver.py ./theano/sandbox/cuda/tests/test_cuda_ndarray.py ./theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py ./theano/sandbox/cuda/tests/test_blas.py ./theano/sandbox/cuda/tests/test_bench_loopfusion.py ./theano/sandbox/cuda/tests/test_basic_ops.py ./theano/sandbox/cuda/tests/__init__.py ./theano/sandbox/cuda/rng_curand.py ./theano/sandbox/cuda/opt.py ./theano/sandbox/cuda/nvcc_compiler.py ./theano/sandbox/cuda/nnet.py ./theano/sandbox/cuda/neighbours.py ./theano/sandbox/cuda/kernel_codegen.py ./theano/sandbox/cuda/elemwise.py ./theano/sandbox/cuda/blas.py ./theano/sandbox/cuda/basic_ops.py ./theano/sandbox/cuda/__init__.py ./theano/sandbox/cuda/GpuConvTransp3D.py ./theano/sandbox/cuda/GpuConvGrad3D.py ./theano/sandbox/cuda/GpuConv3D.py ./theano/sandbox/conv.py ./theano/sandbox/__init__.py ./theano/raise_op.py ./theano/printing.py ./theano/misc/windows.py ./theano/misc/tests/test_pycuda_utils.py ./theano/misc/tests/test_pycuda_theano_simple.py ./theano/misc/tests/test_pycuda_example.py ./theano/misc/tests/test_may_share_memory.py ./theano/misc/tests/test_gnumpy_utils.py ./theano/misc/tests/test_cudamat_utils.py ./theano/misc/tests/__init__.py ./theano/misc/strutil.py ./theano/misc/safe_asarray.py ./theano/misc/pycuda_utils.py ./theano/misc/pycuda_init.py ./theano/misc/pycuda_example.py ./theano/misc/pkl_utils.py ./theano/misc/ordered_set.py ./theano/misc/nose_pr.py ./theano/misc/may_share_memory.py ./theano/misc/latence_gpu_transfert.py ./theano/misc/gnumpy_utils.py ./theano/misc/gh_api.py ./theano/misc/doubleop.py ./theano/misc/cudamat_utils.py ./theano/misc/cpucount.py ./theano/misc/check_duplicate_key.py ./theano/misc/check_blas.py ./theano/misc/buildbot_filter.py ./theano/misc/__init__.py ./theano/ifelse.py ./theano/gradient.py ./theano/gof/vm.py ./theano/gof/utils.py ./theano/gof/unify.py ./theano/gof/type.py ./theano/gof/toolbox.py ./theano/gof/tests/test_vm.py ./theano/gof/tests/test_utils.py ./theano/gof/tests/test_types.py ./theano/gof/tests/test_toolbox.py ./theano/gof/tests/test_sched.py ./theano/gof/tests/test_optdb.py ./theano/gof/tests/test_opt.py ./theano/gof/tests/test_op.py ./theano/gof/tests/test_link.py ./theano/gof/tests/test_lazy.py ./theano/gof/tests/test_graph.py ./theano/gof/tests/test_fg.py ./theano/gof/tests/test_destroyhandler.py ./theano/gof/tests/test_compute_test_value.py ./theano/gof/tests/test_cmodule.py ./theano/gof/tests/test_cc.py ./theano/gof/tests/__init__.py ./theano/gof/sched.py ./theano/gof/python25.py ./theano/gof/optdb.py ./theano/gof/opt.py ./theano/gof/op.py ./theano/gof/null_type.py ./theano/gof/link.py ./theano/gof/lazylinker_c.py ./theano/gof/graph.py ./theano/gof/fg.py ./theano/gof/destroyhandler.py ./theano/gof/cutils.py ./theano/gof/compilelock.py ./theano/gof/compiledir.py ./theano/gof/cmodule.py ./theano/gof/cc.py ./theano/gof/callcache.py ./theano/gof/__init__.py ./theano/generated_version.py ./theano/configparser.py ./theano/configdefaults.py ./theano/compile/tests/test_shared.py ./theano/compile/tests/test_pfunc.py ./theano/compile/tests/test_monitormode.py ./theano/compile/tests/test_module.py ./theano/compile/tests/test_modes.py ./theano/compile/tests/test_misc.py ./theano/compile/tests/test_inplace_opt_for_value.py ./theano/compile/tests/test_function_module.py ./theano/compile/tests/test_debugmode.py ./theano/compile/tests/test_builders.py ./theano/compile/tests/__init__.py ./theano/compile/sharedvalue.py ./theano/compile/sandbox/__init__.py ./theano/compile/profiling.py ./theano/compile/profilemode.py ./theano/compile/pfunc.py ./theano/compile/ops.py ./theano/compile/monitormode.py ./theano/compile/module.py ./theano/compile/mode.py ./theano/compile/io.py ./theano/compile/function_module.py ./theano/compile/function.py ./theano/compile/debugmode.py ./theano/compile/builders.py ./theano/compile/__init__.py ./theano/compat/six.py ./theano/compat/python2x.py ./theano/compat/__init__.py ./theano/__init__.py ./setup.py ++ find ./ -name '*.py' + sed -i 's|#!/usr/bin/python|#!/usr/bin/python3|' ./setup.py ./theano/__init__.py ./theano/configdefaults.py ./theano/configparser.py ./theano/generated_version.py ./theano/gradient.py ./theano/ifelse.py ./theano/printing.py ./theano/raise_op.py ./theano/updates.py ./theano/version.py ./theano/tests/__init__.py ./theano/tests/disturb_mem.py ./theano/tests/diverse_tests.py ./theano/tests/main.py ./theano/tests/record.py ./theano/tests/run_tests_in_batch.py ./theano/tests/test_2nd_order_grads.py ./theano/tests/test_config.py ./theano/tests/test_determinism.py ./theano/tests/test_gradient.py ./theano/tests/test_ifelse.py ./theano/tests/test_printing.py ./theano/tests/test_rop.py ./theano/tests/test_tutorial.py ./theano/tests/test_updates.py ./theano/tests/unittest_tools.py ./theano/tensor/__init__.py ./theano/tensor/basic.py ./theano/tensor/blas.py ./theano/tensor/blas_c.py ./theano/tensor/blas_headers.py ./theano/tensor/blas_scipy.py ./theano/tensor/elemwise.py ./theano/tensor/elemwise_cgen.py ./theano/tensor/extra_ops.py ./theano/tensor/fourier.py ./theano/tensor/inplace.py ./theano/tensor/io.py ./theano/tensor/opt.py ./theano/tensor/opt_uncanonicalize.py ./theano/tensor/randomstreams.py ./theano/tensor/raw_random.py ./theano/tensor/shared_randomstreams.py ./theano/tensor/sharedvar.py ./theano/tensor/sort.py ./theano/tensor/subtensor.py ./theano/tensor/type.py ./theano/tensor/type_other.py ./theano/tensor/utils.py ./theano/tensor/var.py ./theano/tensor/xlogx.py ./theano/tensor/tests/__init__.py ./theano/tensor/tests/_test_mpi_roundtrip.py ./theano/tensor/tests/mlp_test.py ./theano/tensor/tests/test_basic.py ./theano/tensor/tests/test_blas.py ./theano/tensor/tests/test_blas_c.py ./theano/tensor/tests/test_blas_scipy.py ./theano/tensor/tests/test_casting.py ./theano/tensor/tests/test_complex.py ./theano/tensor/tests/test_elemwise.py ./theano/tensor/tests/test_extra_ops.py ./theano/tensor/tests/test_fourier.py ./theano/tensor/tests/test_gc.py ./theano/tensor/tests/test_inc_subtensor.py ./theano/tensor/tests/test_io.py ./theano/tensor/tests/test_keepdims.py ./theano/tensor/tests/test_merge.py ./theano/tensor/tests/test_misc.py ./theano/tensor/tests/test_mpi.py ./theano/tensor/tests/test_naacl09.py ./theano/tensor/tests/test_opt.py ./theano/tensor/tests/test_opt_uncanonicalize.py ./theano/tensor/tests/test_randomstreams.py ./theano/tensor/tests/test_raw_random.py ./theano/tensor/tests/test_shared_randomstreams.py ./theano/tensor/tests/test_sharedvar.py ./theano/tensor/tests/test_sort.py ./theano/tensor/tests/test_subtensor.py ./theano/tensor/tests/test_utils.py ./theano/tensor/tests/test_xlogx.py ./theano/tensor/signal/__init__.py ./theano/tensor/signal/conv.py ./theano/tensor/signal/downsample.py ./theano/tensor/signal/tests/__init__.py ./theano/tensor/signal/tests/test_conv.py ./theano/tensor/signal/tests/test_downsample.py ./theano/tensor/nnet/Conv3D.py ./theano/tensor/nnet/ConvGrad3D.py ./theano/tensor/nnet/ConvTransp3D.py ./theano/tensor/nnet/__init__.py ./theano/tensor/nnet/conv.py ./theano/tensor/nnet/conv3d2d.py ./theano/tensor/nnet/nnet.py ./theano/tensor/nnet/sigm.py ./theano/tensor/nnet/tests/__init__.py ./theano/tensor/nnet/tests/speed_test_conv.py ./theano/tensor/nnet/tests/test_conv.py ./theano/tensor/nnet/tests/test_conv3d.py ./theano/tensor/nnet/tests/test_conv3d2d.py ./theano/tensor/nnet/tests/test_nnet.py ./theano/tensor/nnet/tests/test_sigm.py ./theano/tensor/deprecated/__init__.py ./theano/tensor/deprecated/rmodule.py ./theano/tensor/deprecated/test_rmodule.py ./theano/sparse/__init__.py ./theano/sparse/basic.py ./theano/sparse/opt.py ./theano/sparse/sharedvar.py ./theano/sparse/type.py ./theano/sparse/utils.py ./theano/sparse/tests/__init__.py ./theano/sparse/tests/test_basic.py ./theano/sparse/tests/test_opt.py ./theano/sparse/tests/test_sp2.py ./theano/sparse/tests/test_utils.py ./theano/sparse/sandbox/__init__.py ./theano/sparse/sandbox/sp.py ./theano/sparse/sandbox/sp2.py ./theano/sparse/sandbox/test_sp.py ./theano/sparse/sandbox/truedot.py ./theano/scan_module/__init__.py ./theano/scan_module/scan.py ./theano/scan_module/scan_op.py ./theano/scan_module/scan_opt.py ./theano/scan_module/scan_perform_ext.py ./theano/scan_module/scan_utils.py ./theano/scan_module/scan_views.py ./theano/scan_module/tests/__init__.py ./theano/scan_module/tests/test_scan.py ./theano/scan_module/tests/test_scan_opt.py ./theano/scalar/__init__.py ./theano/scalar/basic.py ./theano/scalar/basic_scipy.py ./theano/scalar/basic_sympy.py ./theano/scalar/sharedvar.py ./theano/scalar/tests/__init__.py ./theano/scalar/tests/test_basic.py ./theano/scalar/tests/test_basic_sympy.py ./theano/sandbox/__init__.py ./theano/sandbox/conv.py ./theano/sandbox/debug.py ./theano/sandbox/downsample.py ./theano/sandbox/fourier.py ./theano/sandbox/minimal.py ./theano/sandbox/multinomial.py ./theano/sandbox/neighbourhoods.py ./theano/sandbox/neighbours.py ./theano/sandbox/rng_mrg.py ./theano/sandbox/scan.py ./theano/sandbox/softsign.py ./theano/sandbox/solve.py ./theano/sandbox/symbolic_module.py ./theano/sandbox/test_multinomial.py ./theano/sandbox/test_neighbourhoods.py ./theano/sandbox/test_neighbours.py ./theano/sandbox/test_rng_mrg.py ./theano/sandbox/test_scan.py ./theano/sandbox/test_theano_object.py ./theano/sandbox/theano_object.py ./theano/sandbox/scan_module/__init__.py ./theano/sandbox/scan_module/scan.py ./theano/sandbox/scan_module/scan_op.py ./theano/sandbox/scan_module/scan_utils.py ./theano/sandbox/scan_module/tests/__init__.py ./theano/sandbox/scan_module/tests/test_scan.py ./theano/sandbox/scan_module/tests/test_utils.py ./theano/sandbox/linalg/__init__.py ./theano/sandbox/linalg/kron.py ./theano/sandbox/linalg/ops.py ./theano/sandbox/linalg/tests/__init__.py ./theano/sandbox/linalg/tests/test_kron.py ./theano/sandbox/linalg/tests/test_linalg.py ./theano/sandbox/gpuarray/__init__.py ./theano/sandbox/gpuarray/basic_ops.py ./theano/sandbox/gpuarray/blas.py ./theano/sandbox/gpuarray/elemwise.py ./theano/sandbox/gpuarray/opt.py ./theano/sandbox/gpuarray/subtensor.py ./theano/sandbox/gpuarray/type.py ./theano/sandbox/gpuarray/tests/__init__.py ./theano/sandbox/gpuarray/tests/test_basic_ops.py ./theano/sandbox/gpuarray/tests/test_blas.py ./theano/sandbox/gpuarray/tests/test_elemwise.py ./theano/sandbox/gpuarray/tests/test_opt.py ./theano/sandbox/gpuarray/tests/test_subtensor.py ./theano/sandbox/gpuarray/tests/test_type.py ./theano/sandbox/cuda/GpuConv3D.py ./theano/sandbox/cuda/GpuConvGrad3D.py ./theano/sandbox/cuda/GpuConvTransp3D.py ./theano/sandbox/cuda/__init__.py ./theano/sandbox/cuda/basic_ops.py ./theano/sandbox/cuda/blas.py ./theano/sandbox/cuda/elemwise.py ./theano/sandbox/cuda/kernel_codegen.py ./theano/sandbox/cuda/neighbours.py ./theano/sandbox/cuda/nnet.py ./theano/sandbox/cuda/nvcc_compiler.py ./theano/sandbox/cuda/opt.py ./theano/sandbox/cuda/rng_curand.py ./theano/sandbox/cuda/type.py ./theano/sandbox/cuda/var.py ./theano/sandbox/cuda/tests/__init__.py ./theano/sandbox/cuda/tests/test_basic_ops.py ./theano/sandbox/cuda/tests/test_bench_loopfusion.py ./theano/sandbox/cuda/tests/test_blas.py ./theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py ./theano/sandbox/cuda/tests/test_cuda_ndarray.py ./theano/sandbox/cuda/tests/test_driver.py ./theano/sandbox/cuda/tests/test_gradient.py ./theano/sandbox/cuda/tests/test_memory.py ./theano/sandbox/cuda/tests/test_mlp.py ./theano/sandbox/cuda/tests/test_neighbours.py ./theano/sandbox/cuda/tests/test_nnet.py ./theano/sandbox/cuda/tests/test_nvcc_compiler.py ./theano/sandbox/cuda/tests/test_opt.py ./theano/sandbox/cuda/tests/test_rng_curand.py ./theano/sandbox/cuda/tests/test_tensor_op.py ./theano/sandbox/cuda/tests/test_var.py ./theano/sandbox/cuda/tests/test_viewop.py ./theano/sandbox/cuda/tests/walltime.py ./theano/misc/__init__.py ./theano/misc/buildbot_filter.py ./theano/misc/check_blas.py ./theano/misc/check_duplicate_key.py ./theano/misc/cpucount.py ./theano/misc/cudamat_utils.py ./theano/misc/doubleop.py ./theano/misc/gh_api.py ./theano/misc/gnumpy_utils.py ./theano/misc/latence_gpu_transfert.py ./theano/misc/may_share_memory.py ./theano/misc/nose_pr.py ./theano/misc/ordered_set.py ./theano/misc/pkl_utils.py ./theano/misc/pycuda_example.py ./theano/misc/pycuda_init.py ./theano/misc/pycuda_utils.py ./theano/misc/safe_asarray.py ./theano/misc/strutil.py ./theano/misc/windows.py ./theano/misc/tests/__init__.py ./theano/misc/tests/test_cudamat_utils.py ./theano/misc/tests/test_gnumpy_utils.py ./theano/misc/tests/test_may_share_memory.py ./theano/misc/tests/test_pycuda_example.py ./theano/misc/tests/test_pycuda_theano_simple.py ./theano/misc/tests/test_pycuda_utils.py ./theano/gof/__init__.py ./theano/gof/callcache.py ./theano/gof/cc.py ./theano/gof/cmodule.py ./theano/gof/compiledir.py ./theano/gof/compilelock.py ./theano/gof/cutils.py ./theano/gof/destroyhandler.py ./theano/gof/fg.py ./theano/gof/graph.py ./theano/gof/lazylinker_c.py ./theano/gof/link.py ./theano/gof/null_type.py ./theano/gof/op.py ./theano/gof/opt.py ./theano/gof/optdb.py ./theano/gof/python25.py ./theano/gof/sched.py ./theano/gof/toolbox.py ./theano/gof/type.py ./theano/gof/unify.py ./theano/gof/utils.py ./theano/gof/vm.py ./theano/gof/tests/__init__.py ./theano/gof/tests/test_cc.py ./theano/gof/tests/test_cmodule.py ./theano/gof/tests/test_compute_test_value.py ./theano/gof/tests/test_destroyhandler.py ./theano/gof/tests/test_fg.py ./theano/gof/tests/test_graph.py ./theano/gof/tests/test_lazy.py ./theano/gof/tests/test_link.py ./theano/gof/tests/test_op.py ./theano/gof/tests/test_opt.py ./theano/gof/tests/test_optdb.py ./theano/gof/tests/test_sched.py ./theano/gof/tests/test_toolbox.py ./theano/gof/tests/test_types.py ./theano/gof/tests/test_utils.py ./theano/gof/tests/test_vm.py ./theano/compile/__init__.py ./theano/compile/builders.py ./theano/compile/debugmode.py ./theano/compile/function.py ./theano/compile/function_module.py ./theano/compile/io.py ./theano/compile/mode.py ./theano/compile/module.py ./theano/compile/monitormode.py ./theano/compile/ops.py ./theano/compile/pfunc.py ./theano/compile/profilemode.py ./theano/compile/profiling.py ./theano/compile/sharedvalue.py ./theano/compile/tests/__init__.py ./theano/compile/tests/test_builders.py ./theano/compile/tests/test_debugmode.py ./theano/compile/tests/test_function_module.py ./theano/compile/tests/test_inplace_opt_for_value.py ./theano/compile/tests/test_misc.py ./theano/compile/tests/test_modes.py ./theano/compile/tests/test_module.py ./theano/compile/tests/test_monitormode.py ./theano/compile/tests/test_pfunc.py ./theano/compile/tests/test_shared.py ./theano/compile/sandbox/__init__.py ./theano/compat/__init__.py ./theano/compat/python2x.py ./theano/compat/six.py + CFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CFLAGS + CXXFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CXXFLAGS + FFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export FFLAGS + /usr/bin/python3 setup.py build --debug running build running build_py creating build creating build/lib creating build/lib/theano copying theano/version.py -> build/lib/theano copying theano/updates.py -> build/lib/theano copying theano/raise_op.py -> build/lib/theano copying theano/printing.py -> build/lib/theano copying theano/ifelse.py -> build/lib/theano copying theano/gradient.py -> build/lib/theano copying theano/generated_version.py -> build/lib/theano copying theano/configparser.py -> build/lib/theano copying theano/configdefaults.py -> build/lib/theano copying theano/__init__.py -> build/lib/theano creating build/lib/theano/tests copying theano/tests/unittest_tools.py -> build/lib/theano/tests copying theano/tests/test_updates.py -> build/lib/theano/tests copying theano/tests/test_tutorial.py -> build/lib/theano/tests copying theano/tests/test_rop.py -> build/lib/theano/tests copying theano/tests/test_printing.py -> build/lib/theano/tests copying theano/tests/test_ifelse.py -> build/lib/theano/tests copying theano/tests/test_gradient.py -> build/lib/theano/tests copying theano/tests/test_determinism.py -> build/lib/theano/tests copying theano/tests/test_config.py -> build/lib/theano/tests copying theano/tests/test_2nd_order_grads.py -> build/lib/theano/tests copying theano/tests/run_tests_in_batch.py -> build/lib/theano/tests copying theano/tests/record.py -> build/lib/theano/tests copying theano/tests/main.py -> build/lib/theano/tests copying theano/tests/diverse_tests.py -> build/lib/theano/tests copying theano/tests/disturb_mem.py -> build/lib/theano/tests copying theano/tests/__init__.py -> build/lib/theano/tests creating build/lib/theano/tensor copying theano/tensor/xlogx.py -> build/lib/theano/tensor copying theano/tensor/var.py -> build/lib/theano/tensor copying theano/tensor/utils.py -> build/lib/theano/tensor copying theano/tensor/type_other.py -> build/lib/theano/tensor copying theano/tensor/type.py -> build/lib/theano/tensor copying theano/tensor/subtensor.py -> build/lib/theano/tensor copying theano/tensor/sort.py -> build/lib/theano/tensor copying theano/tensor/sharedvar.py -> build/lib/theano/tensor copying theano/tensor/shared_randomstreams.py -> build/lib/theano/tensor copying theano/tensor/raw_random.py -> build/lib/theano/tensor copying theano/tensor/randomstreams.py -> build/lib/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> build/lib/theano/tensor copying theano/tensor/opt.py -> build/lib/theano/tensor copying theano/tensor/io.py -> build/lib/theano/tensor copying theano/tensor/inplace.py -> build/lib/theano/tensor copying theano/tensor/fourier.py -> build/lib/theano/tensor copying theano/tensor/extra_ops.py -> build/lib/theano/tensor copying theano/tensor/elemwise_cgen.py -> build/lib/theano/tensor copying theano/tensor/elemwise.py -> build/lib/theano/tensor copying theano/tensor/blas_scipy.py -> build/lib/theano/tensor copying theano/tensor/blas_headers.py -> build/lib/theano/tensor copying theano/tensor/blas_c.py -> build/lib/theano/tensor copying theano/tensor/blas.py -> build/lib/theano/tensor copying theano/tensor/basic.py -> build/lib/theano/tensor copying theano/tensor/__init__.py -> build/lib/theano/tensor creating build/lib/theano/sparse copying theano/sparse/utils.py -> build/lib/theano/sparse copying theano/sparse/type.py -> build/lib/theano/sparse copying theano/sparse/sharedvar.py -> build/lib/theano/sparse copying theano/sparse/opt.py -> build/lib/theano/sparse copying theano/sparse/basic.py -> build/lib/theano/sparse copying theano/sparse/__init__.py -> build/lib/theano/sparse creating build/lib/theano/scan_module copying theano/scan_module/scan_views.py -> build/lib/theano/scan_module copying theano/scan_module/scan_utils.py -> build/lib/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> build/lib/theano/scan_module copying theano/scan_module/scan_opt.py -> build/lib/theano/scan_module copying theano/scan_module/scan_op.py -> build/lib/theano/scan_module copying theano/scan_module/scan.py -> build/lib/theano/scan_module copying theano/scan_module/__init__.py -> build/lib/theano/scan_module creating build/lib/theano/scalar copying theano/scalar/sharedvar.py -> build/lib/theano/scalar copying theano/scalar/basic_sympy.py -> build/lib/theano/scalar copying theano/scalar/basic_scipy.py -> build/lib/theano/scalar copying theano/scalar/basic.py -> build/lib/theano/scalar copying theano/scalar/__init__.py -> build/lib/theano/scalar creating build/lib/theano/sandbox copying theano/sandbox/theano_object.py -> build/lib/theano/sandbox copying theano/sandbox/test_theano_object.py -> build/lib/theano/sandbox copying theano/sandbox/test_scan.py -> build/lib/theano/sandbox copying theano/sandbox/test_rng_mrg.py -> build/lib/theano/sandbox copying theano/sandbox/test_neighbours.py -> build/lib/theano/sandbox copying theano/sandbox/test_neighbourhoods.py -> build/lib/theano/sandbox copying theano/sandbox/test_multinomial.py -> build/lib/theano/sandbox copying theano/sandbox/symbolic_module.py -> build/lib/theano/sandbox copying theano/sandbox/solve.py -> build/lib/theano/sandbox copying theano/sandbox/softsign.py -> build/lib/theano/sandbox copying theano/sandbox/scan.py -> build/lib/theano/sandbox copying theano/sandbox/rng_mrg.py -> build/lib/theano/sandbox copying theano/sandbox/neighbours.py -> build/lib/theano/sandbox copying theano/sandbox/neighbourhoods.py -> build/lib/theano/sandbox copying theano/sandbox/multinomial.py -> build/lib/theano/sandbox copying theano/sandbox/minimal.py -> build/lib/theano/sandbox copying theano/sandbox/fourier.py -> build/lib/theano/sandbox copying theano/sandbox/downsample.py -> build/lib/theano/sandbox copying theano/sandbox/debug.py -> build/lib/theano/sandbox copying theano/sandbox/conv.py -> build/lib/theano/sandbox copying theano/sandbox/__init__.py -> build/lib/theano/sandbox creating build/lib/theano/misc copying theano/misc/windows.py -> build/lib/theano/misc copying theano/misc/strutil.py -> build/lib/theano/misc copying theano/misc/safe_asarray.py -> build/lib/theano/misc copying theano/misc/pycuda_utils.py -> build/lib/theano/misc copying theano/misc/pycuda_init.py -> build/lib/theano/misc copying theano/misc/pycuda_example.py -> build/lib/theano/misc copying theano/misc/pkl_utils.py -> build/lib/theano/misc copying theano/misc/ordered_set.py -> build/lib/theano/misc copying theano/misc/nose_pr.py -> build/lib/theano/misc copying theano/misc/may_share_memory.py -> build/lib/theano/misc copying theano/misc/latence_gpu_transfert.py -> build/lib/theano/misc copying theano/misc/gnumpy_utils.py -> build/lib/theano/misc copying theano/misc/gh_api.py -> build/lib/theano/misc copying theano/misc/doubleop.py -> build/lib/theano/misc copying theano/misc/cudamat_utils.py -> build/lib/theano/misc copying theano/misc/cpucount.py -> build/lib/theano/misc copying theano/misc/check_duplicate_key.py -> build/lib/theano/misc copying theano/misc/check_blas.py -> build/lib/theano/misc copying theano/misc/buildbot_filter.py -> build/lib/theano/misc copying theano/misc/__init__.py -> build/lib/theano/misc creating build/lib/theano/gof copying theano/gof/vm.py -> build/lib/theano/gof copying theano/gof/utils.py -> build/lib/theano/gof copying theano/gof/unify.py -> build/lib/theano/gof copying theano/gof/type.py -> build/lib/theano/gof copying theano/gof/toolbox.py -> build/lib/theano/gof copying theano/gof/sched.py -> build/lib/theano/gof copying theano/gof/python25.py -> build/lib/theano/gof copying theano/gof/optdb.py -> build/lib/theano/gof copying theano/gof/opt.py -> build/lib/theano/gof copying theano/gof/op.py -> build/lib/theano/gof copying theano/gof/null_type.py -> build/lib/theano/gof copying theano/gof/link.py -> build/lib/theano/gof copying theano/gof/lazylinker_c.py -> build/lib/theano/gof copying theano/gof/graph.py -> build/lib/theano/gof copying theano/gof/fg.py -> build/lib/theano/gof copying theano/gof/destroyhandler.py -> build/lib/theano/gof copying theano/gof/cutils.py -> build/lib/theano/gof copying theano/gof/compilelock.py -> build/lib/theano/gof copying theano/gof/compiledir.py -> build/lib/theano/gof copying theano/gof/cmodule.py -> build/lib/theano/gof copying theano/gof/cc.py -> build/lib/theano/gof copying theano/gof/callcache.py -> build/lib/theano/gof copying theano/gof/__init__.py -> build/lib/theano/gof creating build/lib/theano/compile copying theano/compile/sharedvalue.py -> build/lib/theano/compile copying theano/compile/profiling.py -> build/lib/theano/compile copying theano/compile/profilemode.py -> build/lib/theano/compile copying theano/compile/pfunc.py -> build/lib/theano/compile copying theano/compile/ops.py -> build/lib/theano/compile copying theano/compile/monitormode.py -> build/lib/theano/compile copying theano/compile/module.py -> build/lib/theano/compile copying theano/compile/mode.py -> build/lib/theano/compile copying theano/compile/io.py -> build/lib/theano/compile copying theano/compile/function_module.py -> build/lib/theano/compile copying theano/compile/function.py -> build/lib/theano/compile copying theano/compile/debugmode.py -> build/lib/theano/compile copying theano/compile/builders.py -> build/lib/theano/compile copying theano/compile/__init__.py -> build/lib/theano/compile creating build/lib/theano/compat copying theano/compat/six.py -> build/lib/theano/compat copying theano/compat/python2x.py -> build/lib/theano/compat copying theano/compat/__init__.py -> build/lib/theano/compat creating build/lib/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_randomstreams.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_naacl09.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_io.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> build/lib/theano/tensor/tests copying theano/tensor/tests/__init__.py -> build/lib/theano/tensor/tests creating build/lib/theano/tensor/signal copying theano/tensor/signal/downsample.py -> build/lib/theano/tensor/signal copying theano/tensor/signal/conv.py -> build/lib/theano/tensor/signal copying theano/tensor/signal/__init__.py -> build/lib/theano/tensor/signal creating build/lib/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/ConvTransp3D.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/ConvGrad3D.py -> build/lib/theano/tensor/nnet copying theano/tensor/nnet/Conv3D.py -> build/lib/theano/tensor/nnet creating build/lib/theano/tensor/deprecated copying theano/tensor/deprecated/test_rmodule.py -> build/lib/theano/tensor/deprecated copying theano/tensor/deprecated/rmodule.py -> build/lib/theano/tensor/deprecated copying theano/tensor/deprecated/__init__.py -> build/lib/theano/tensor/deprecated creating build/lib/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> build/lib/theano/sparse/tests copying theano/sparse/tests/__init__.py -> build/lib/theano/sparse/tests creating build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> build/lib/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> build/lib/theano/sparse/sandbox creating build/lib/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> build/lib/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> build/lib/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> build/lib/theano/scan_module/tests creating build/lib/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> build/lib/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> build/lib/theano/scalar/tests copying theano/scalar/tests/__init__.py -> build/lib/theano/scalar/tests creating build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/scan_utils.py -> build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/scan_op.py -> build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/scan.py -> build/lib/theano/sandbox/scan_module copying theano/sandbox/scan_module/__init__.py -> build/lib/theano/sandbox/scan_module creating build/lib/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> build/lib/theano/sandbox/linalg copying theano/sandbox/linalg/kron.py -> build/lib/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> build/lib/theano/sandbox/linalg creating build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/type.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/subtensor.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/opt.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/elemwise.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/blas.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/basic_ops.py -> build/lib/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/__init__.py -> build/lib/theano/sandbox/gpuarray creating build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/var.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/type.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/rng_curand.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/opt.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/nvcc_compiler.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/nnet.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/neighbours.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/kernel_codegen.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/elemwise.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/blas.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/basic_ops.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvTransp3D.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvGrad3D.py -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConv3D.py -> build/lib/theano/sandbox/cuda creating build/lib/theano/misc/tests copying theano/misc/tests/test_pycuda_utils.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_pycuda_theano_simple.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_pycuda_example.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_gnumpy_utils.py -> build/lib/theano/misc/tests copying theano/misc/tests/test_cudamat_utils.py -> build/lib/theano/misc/tests copying theano/misc/tests/__init__.py -> build/lib/theano/misc/tests creating build/lib/theano/gof/tests copying theano/gof/tests/test_vm.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_utils.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_types.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_sched.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_optdb.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_opt.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_op.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_link.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_lazy.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_graph.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_fg.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> build/lib/theano/gof/tests copying theano/gof/tests/test_cc.py -> build/lib/theano/gof/tests copying theano/gof/tests/__init__.py -> build/lib/theano/gof/tests creating build/lib/theano/compile/tests copying theano/compile/tests/test_shared.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_module.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_modes.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_misc.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_inplace_opt_for_value.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_function_module.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> build/lib/theano/compile/tests copying theano/compile/tests/test_builders.py -> build/lib/theano/compile/tests copying theano/compile/tests/__init__.py -> build/lib/theano/compile/tests creating build/lib/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> build/lib/theano/compile/sandbox creating build/lib/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_downsample.py -> build/lib/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> build/lib/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> build/lib/theano/tensor/signal/tests creating build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> build/lib/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> build/lib/theano/tensor/nnet/tests creating build/lib/theano/sandbox/scan_module/tests copying theano/sandbox/scan_module/tests/test_utils.py -> build/lib/theano/sandbox/scan_module/tests copying theano/sandbox/scan_module/tests/test_scan.py -> build/lib/theano/sandbox/scan_module/tests copying theano/sandbox/scan_module/tests/__init__.py -> build/lib/theano/sandbox/scan_module/tests creating build/lib/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> build/lib/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_kron.py -> build/lib/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> build/lib/theano/sandbox/linalg/tests creating build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_type.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_subtensor.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_opt.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_elemwise.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_blas.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/test_basic_ops.py -> build/lib/theano/sandbox/gpuarray/tests copying theano/sandbox/gpuarray/tests/__init__.py -> build/lib/theano/sandbox/gpuarray/tests creating build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/walltime.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_viewop.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_var.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_tensor_op.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_rng_curand.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_opt.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_nvcc_compiler.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_nnet.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_neighbours.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_mlp.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_memory.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_gradient.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_driver.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_cuda_ndarray.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_blas.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_bench_loopfusion.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_basic_ops.py -> build/lib/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/__init__.py -> build/lib/theano/sandbox/cuda/tests copying theano/scan_module/scan_perform.c -> build/lib/theano/scan_module copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> build/lib/theano/sandbox copying theano/misc/check_blas_many.sh -> build/lib/theano/misc copying theano/gof/lazylinker_c.c -> build/lib/theano/gof copying theano/tensor/tests/shape_opt_cycle.pkl -> build/lib/theano/tensor/tests copying theano/sandbox/cuda/cuda_ndarray.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/conv_kernel.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/conv_full_kernel.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/conv.cu -> build/lib/theano/sandbox/cuda copying theano/sandbox/cuda/cuda_ndarray.cuh -> build/lib/theano/sandbox/cuda Skipping optional fixer: buffer Skipping optional fixer: idioms Skipping optional fixer: set_literal Skipping optional fixer: ws_comma Can't parse build/lib/theano/configparser.py: ParseError: bad input: type=22, value='=', context=('', (128, 22)) Can't parse build/lib/theano/tests/unittest_tools.py: ParseError: bad input: type=22, value='=', context=('', (62, 71)) Can't parse build/lib/theano/tensor/raw_random.py: ParseError: bad input: type=22, value='=', context=('', (186, 85)) Can't parse build/lib/theano/tensor/opt.py: ParseError: bad input: type=22, value='=', context=('', (284, 79)) Can't parse build/lib/theano/tensor/blas.py: ParseError: bad input: type=22, value='=', context=('', (1553, 42)) Can't parse build/lib/theano/sparse/basic.py: ParseError: bad input: type=22, value='=', context=('', (898, 19)) Can't parse build/lib/theano/sandbox/solve.py: ParseError: bad input: type=22, value='=', context=('', (41, 65)) Can't parse build/lib/theano/sandbox/downsample.py: ParseError: bad input: type=22, value='=', context=('', (2, 112)) Can't parse build/lib/theano/sandbox/conv.py: ParseError: bad input: type=22, value='=', context=('', (2, 120)) Can't parse build/lib/theano/misc/check_blas.py: ParseError: bad input: type=22, value='=', context=('', (242, 46)) Can't parse build/lib/theano/gof/toolbox.py: ParseError: bad input: type=22, value='=', context=('', (213, 78)) Can't parse build/lib/theano/gof/optdb.py: ParseError: bad input: type=22, value='=', context=('', (132, 70)) Can't parse build/lib/theano/gof/opt.py: ParseError: bad input: type=22, value='=', context=('', (107, 77)) Can't parse build/lib/theano/gof/link.py: ParseError: bad input: type=22, value='=', context=('', (22, 55)) Can't parse build/lib/theano/gof/fg.py: ParseError: bad input: type=22, value='=', context=('', (212, 51)) Can't parse build/lib/theano/gof/cmodule.py: ParseError: bad input: type=22, value='=', context=('', (88, 56)) Can't parse build/lib/theano/gof/cc.py: ParseError: bad input: type=22, value='=', context=('', (682, 55)) Can't parse build/lib/theano/compile/profiling.py: ParseError: bad input: type=22, value='=', context=('', (302, 66)) Can't parse build/lib/theano/compile/module.py: ParseError: bad input: type=22, value='=', context=('', (1058, 67)) Can't parse build/lib/theano/compile/debugmode.py: ParseError: bad input: type=22, value='=', context=('', (173, 36)) Can't parse build/lib/theano/tensor/tests/test_opt.py: ParseError: bad input: type=22, value='=', context=('', (1289, 67)) Can't parse build/lib/theano/tensor/signal/downsample.py: ParseError: bad input: type=22, value='=', context=('', (18, 64)) Can't parse build/lib/theano/tensor/deprecated/test_rmodule.py: ParseError: bad input: type=22, value='=', context=('', (17, 48)) Can't parse build/lib/theano/sandbox/gpuarray/subtensor.py: ParseError: bad input: type=22, value='=', context=('', (103, 69)) Can't parse build/lib/theano/sandbox/cuda/type.py: ParseError: bad input: type=22, value='=', context=('', (298, 28)) Can't parse build/lib/theano/sandbox/cuda/opt.py: ParseError: bad input: type=22, value='=', context=('', (627, 80)) Can't parse build/lib/theano/sandbox/cuda/nvcc_compiler.py: ParseError: bad input: type=22, value='=', context=('', (414, 36)) Can't parse build/lib/theano/sandbox/cuda/nnet.py: ParseError: bad input: type=22, value='=', context=('', (209, 28)) Can't parse build/lib/theano/sandbox/cuda/elemwise.py: ParseError: bad input: type=22, value='=', context=('', (81, 58)) Can't parse build/lib/theano/sandbox/cuda/blas.py: ParseError: bad input: type=22, value='=', context=('', (292, 17)) Can't parse build/lib/theano/sandbox/cuda/basic_ops.py: ParseError: bad input: type=22, value='=', context=('', (399, 28)) Can't parse build/lib/theano/sandbox/cuda/__init__.py: ParseError: bad input: type=22, value='=', context=('', (382, 75)) Can't parse build/lib/theano/misc/tests/test_pycuda_theano_simple.py: ParseError: bad input: type=22, value='=', context=('', (85, 65)) Can't parse build/lib/theano/gof/tests/test_vm.py: ParseError: bad input: type=22, value='=', context=('', (200, 30)) Can't parse build/lib/theano/tensor/nnet/tests/test_conv.py: ParseError: bad input: type=22, value='=', context=('', (438, 42)) Can't parse build/lib/theano/sandbox/scan_module/tests/test_scan.py: ParseError: bad input: type=22, value='=', context=('', (253, 49)) Can't parse build/lib/theano/sandbox/cuda/tests/test_opt.py: ParseError: bad input: type=22, value='=', context=('', (332, 27)) Can't parse build/lib/theano/sandbox/cuda/tests/test_nnet.py: ParseError: bad input: type=22, value='=', context=('', (149, 62)) Can't parse build/lib/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py: ParseError: bad input: type=22, value='=', context=('', (192, 46)) running build_scripts creating build/scripts-3.6 copying and adjusting bin/theano-cache -> build/scripts-3.6 copying and adjusting bin/theano-nose -> build/scripts-3.6 copying and adjusting bin/theano-test -> build/scripts-3.6 changing mode of build/scripts-3.6/theano-cache from 644 to 755 changing mode of build/scripts-3.6/theano-nose from 644 to 755 changing mode of build/scripts-3.6/theano-test from 644 to 755 Skipping optional fixer: buffer Skipping optional fixer: idioms Skipping optional fixer: set_literal Skipping optional fixer: ws_comma + popd ~/RPM/BUILD/python-module-theano-0.6.0 + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.54487 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + /bin/chmod -Rf u+rwX -- /usr/src/tmp/python-module-theano-buildroot + : + /bin/rm -rf -- /usr/src/tmp/python-module-theano-buildroot + cd python-module-theano-0.6.0 + export LC_ALL=en_US.UTF-8 + LC_ALL=en_US.UTF-8 + pushd ../python3 ~/RPM/BUILD/python3 ~/RPM/BUILD/python-module-theano-0.6.0 + CFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CFLAGS + CXXFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CXXFLAGS + FFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export FFLAGS + /usr/bin/python3 setup.py install --skip-build --root=/usr/src/tmp/python-module-theano-buildroot --force running install running install_lib creating /usr/src/tmp/python-module-theano-buildroot creating /usr/src/tmp/python-module-theano-buildroot/usr creating /usr/src/tmp/python-module-theano-buildroot/usr/lib creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3 creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat copying build/lib/theano/compat/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat copying build/lib/theano/compat/python2x.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat copying build/lib/theano/compat/six.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/sandbox copying build/lib/theano/compile/sandbox/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_builders.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_debugmode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_function_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_inplace_opt_for_value.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_misc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_modes.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_monitormode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_pfunc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_shared.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests copying build/lib/theano/compile/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/builders.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/debugmode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/function.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/function_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/io.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/mode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/monitormode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/pfunc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/profilemode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/profiling.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile copying build/lib/theano/compile/sharedvalue.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/lazylinker_c.c -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_cc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_cmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_compute_test_value.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_destroyhandler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_fg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_graph.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_lazy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_link.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_optdb.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_sched.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_toolbox.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_types.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_vm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests copying build/lib/theano/gof/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/callcache.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/cc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/cmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/compiledir.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/compilelock.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/cutils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/destroyhandler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/fg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/graph.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/lazylinker_c.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/link.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/null_type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/optdb.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/python25.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/sched.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/toolbox.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/unify.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof copying build/lib/theano/gof/vm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/check_blas_many.sh -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_cudamat_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_gnumpy_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_may_share_memory.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_pycuda_example.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_pycuda_theano_simple.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_pycuda_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests copying build/lib/theano/misc/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/buildbot_filter.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/check_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/check_duplicate_key.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/cpucount.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/cudamat_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/doubleop.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/gh_api.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/gnumpy_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/latence_gpu_transfert.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/may_share_memory.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/nose_pr.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/ordered_set.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/pkl_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/pycuda_example.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/pycuda_init.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/pycuda_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/safe_asarray.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/strutil.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc copying build/lib/theano/misc/windows.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/cuda_ndarray.cuh -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/conv.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/conv_full_kernel.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/conv_kernel.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/cuda_ndarray.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_bench_loopfusion.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_cuda_ndarray.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_driver.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_gradient.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_memory.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_mlp.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_nvcc_compiler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_rng_curand.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_tensor_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_var.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_viewop.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/walltime.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/GpuConv3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/GpuConvGrad3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/GpuConvTransp3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/kernel_codegen.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/nvcc_compiler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/rng_curand.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/var.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/tests/test_kron.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/tests/test_linalg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg copying build/lib/theano/sandbox/linalg/kron.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg copying build/lib/theano/sandbox/linalg/ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/tests/test_scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/scan_module/scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/scan_module/scan_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/scan_module/scan_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/debug.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/downsample.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/fourier.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/minimal.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/multinomial.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/neighbourhoods.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/rng_mrg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/softsign.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/solve.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/symbolic_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_multinomial.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_neighbourhoods.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_rng_mrg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_theano_object.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox copying build/lib/theano/sandbox/theano_object.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests copying build/lib/theano/scalar/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests copying build/lib/theano/scalar/tests/test_basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests copying build/lib/theano/scalar/tests/test_basic_sympy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests copying build/lib/theano/scalar/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar copying build/lib/theano/scalar/basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar copying build/lib/theano/scalar/basic_scipy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar copying build/lib/theano/scalar/basic_sympy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar copying build/lib/theano/scalar/sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_perform.c -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/tests/test_scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/tests/test_scan_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_perform_ext.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_views.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/sp.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/sp2.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/test_sp.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/truedot.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_sp2.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests copying build/lib/theano/sparse/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse copying build/lib/theano/sparse/basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse copying build/lib/theano/sparse/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse copying build/lib/theano/sparse/sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse copying build/lib/theano/sparse/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse copying build/lib/theano/sparse/utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated copying build/lib/theano/tensor/deprecated/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated copying build/lib/theano/tensor/deprecated/rmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated copying build/lib/theano/tensor/deprecated/test_rmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/speed_test_conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_conv3d.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_conv3d2d.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_sigm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/Conv3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/ConvGrad3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/ConvTransp3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/conv3d2d.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/sigm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/tests/test_conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/tests/test_downsample.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal copying build/lib/theano/tensor/signal/conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal copying build/lib/theano/tensor/signal/downsample.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/shape_opt_cycle.pkl -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/_test_mpi_roundtrip.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/mlp_test.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_blas_c.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_blas_scipy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_casting.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_complex.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_extra_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_fourier.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_gc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_inc_subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_io.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_keepdims.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_merge.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_misc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_mpi.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_naacl09.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_opt_uncanonicalize.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_raw_random.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_shared_randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_sort.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_xlogx.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests copying build/lib/theano/tensor/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/blas_c.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/blas_headers.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/blas_scipy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/elemwise_cgen.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/extra_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/fourier.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/inplace.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/io.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/opt_uncanonicalize.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/raw_random.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/shared_randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/sort.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/type_other.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/var.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor copying build/lib/theano/tensor/xlogx.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/disturb_mem.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/diverse_tests.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/main.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/record.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/run_tests_in_batch.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_2nd_order_grads.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_config.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_determinism.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_gradient.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_ifelse.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_printing.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_rop.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_tutorial.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/test_updates.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/tests/unittest_tools.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests copying build/lib/theano/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/configdefaults.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/configparser.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/generated_version.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/gradient.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/ifelse.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/printing.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/raise_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/updates.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano copying build/lib/theano/version.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py to python2x.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py to six.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/sandbox/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_builders.py to test_builders.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_debugmode.py to test_debugmode.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_function_module.py to test_function_module.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_inplace_opt_for_value.py to test_inplace_opt_for_value.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_misc.py to test_misc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_modes.py to test_modes.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_module.py to test_module.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_monitormode.py to test_monitormode.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_pfunc.py to test_pfunc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_shared.py to test_shared.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/builders.py to builders.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py to debugmode.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/function.py to function.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/function_module.py to function_module.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/io.py to io.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/mode.py to mode.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/module.py to module.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/monitormode.py to monitormode.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/ops.py to ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/pfunc.py to pfunc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py to profilemode.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py to profiling.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/sharedvalue.py to sharedvalue.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_cc.py to test_cc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_cmodule.py to test_cmodule.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_fg.py to test_fg.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_graph.py to test_graph.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_lazy.py to test_lazy.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_link.py to test_link.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_op.py to test_op.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_optdb.py to test_optdb.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_sched.py to test_sched.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_toolbox.py to test_toolbox.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_types.py to test_types.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/tests/test_vm.py to test_vm.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/callcache.py to callcache.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cc.py to cc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py to cmodule.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/compiledir.py to compiledir.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/compilelock.py to compilelock.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cutils.py to cutils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/destroyhandler.py to destroyhandler.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/fg.py to fg.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/graph.py to graph.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/lazylinker_c.py to lazylinker_c.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/link.py to link.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/null_type.py to null_type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/op.py to op.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/opt.py to opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/optdb.py to optdb.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/python25.py to python25.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/sched.py to sched.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/toolbox.py to toolbox.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/type.py to type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/unify.py to unify.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/utils.py to utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/vm.py to vm.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_cudamat_utils.py to test_cudamat_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_gnumpy_utils.py to test_gnumpy_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_may_share_memory.py to test_may_share_memory.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_example.py to test_pycuda_example.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_theano_simple.py to test_pycuda_theano_simple.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_utils.py to test_pycuda_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/buildbot_filter.py to buildbot_filter.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_blas.py to check_blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cpucount.py to cpucount.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cudamat_utils.py to cudamat_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/doubleop.py to doubleop.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gh_api.py to gh_api.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gnumpy_utils.py to gnumpy_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/may_share_memory.py to may_share_memory.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py to nose_pr.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/ordered_set.py to ordered_set.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pkl_utils.py to pkl_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py to pycuda_example.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_init.py to pycuda_init.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_utils.py to pycuda_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/safe_asarray.py to safe_asarray.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/strutil.py to strutil.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/windows.py to windows.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_basic_ops.py to test_basic_ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py to test_bench_loopfusion.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_blas.py to test_blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py to test_conv_cuda_ndarray.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_cuda_ndarray.py to test_cuda_ndarray.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_driver.py to test_driver.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_gradient.py to test_gradient.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_memory.py to test_memory.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_mlp.py to test_mlp.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_neighbours.py to test_neighbours.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_nnet.py to test_nnet.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_nvcc_compiler.py to test_nvcc_compiler.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_rng_curand.py to test_rng_curand.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_tensor_op.py to test_tensor_op.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_var.py to test_var.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_viewop.py to test_viewop.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/walltime.py to walltime.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/GpuConv3D.py to GpuConv3D.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/GpuConvGrad3D.py to GpuConvGrad3D.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py to GpuConvTransp3D.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/basic_ops.py to basic_ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/blas.py to blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/elemwise.py to elemwise.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/kernel_codegen.py to kernel_codegen.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/neighbours.py to neighbours.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/nnet.py to nnet.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/nvcc_compiler.py to nvcc_compiler.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/opt.py to opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/rng_curand.py to rng_curand.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/type.py to type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/var.py to var.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py to test_basic_ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_blas.py to test_blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_elemwise.py to test_elemwise.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_subtensor.py to test_subtensor.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_type.py to test_type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py to basic_ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/blas.py to blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/elemwise.py to elemwise.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/opt.py to opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/subtensor.py to subtensor.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/type.py to type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests/test_kron.py to test_kron.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/kron.py to kron.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/ops.py to ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests/test_scan.py to test_scan.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/scan.py to scan.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/scan_op.py to scan_op.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/scan_utils.py to scan_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/conv.py to conv.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/debug.py to debug.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/downsample.py to downsample.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/fourier.py to fourier.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/minimal.py to minimal.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/multinomial.py to multinomial.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/neighbourhoods.py to neighbourhoods.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/neighbours.py to neighbours.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/rng_mrg.py to rng_mrg.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan.py to scan.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/softsign.py to softsign.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/solve.py to solve.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/symbolic_module.py to symbolic_module.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_multinomial.py to test_multinomial.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_neighbourhoods.py to test_neighbourhoods.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_neighbours.py to test_neighbours.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_rng_mrg.py to test_rng_mrg.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_scan.py to test_scan.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_theano_object.py to test_theano_object.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/theano_object.py to theano_object.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic.py to basic.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic_scipy.py to basic_scipy.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic_sympy.py to basic_sympy.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/sharedvar.py to sharedvar.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan.py to test_scan.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan_opt.py to test_scan_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan.py to scan.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_op.py to scan_op.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_opt.py to scan_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_utils.py to scan_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_views.py to scan_views.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/sp.py to sp.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/sp2.py to sp2.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/test_sp.py to test_sp.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/truedot.py to truedot.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_sp2.py to test_sp2.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/basic.py to basic.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/opt.py to opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sharedvar.py to sharedvar.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/type.py to type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/utils.py to utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/rmodule.py to rmodule.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/test_rmodule.py to test_rmodule.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv3d.py to test_conv3d.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/Conv3D.py to Conv3D.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/ConvGrad3D.py to ConvGrad3D.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/ConvTransp3D.py to ConvTransp3D.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/conv.py to conv.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/nnet.py to nnet.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/sigm.py to sigm.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests/test_conv.py to test_conv.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/tests/test_downsample.py to test_downsample.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/conv.py to conv.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/downsample.py to downsample.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/mlp_test.py to mlp_test.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas.py to test_blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_casting.py to test_casting.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_complex.py to test_complex.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_fourier.py to test_fourier.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_gc.py to test_gc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_io.py to test_io.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_merge.py to test_merge.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_misc.py to test_misc.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_mpi.py to test_mpi.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py to test_naacl09.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_randomstreams.py to test_randomstreams.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_sort.py to test_sort.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/basic.py to basic.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas.py to blas.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas_c.py to blas_c.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas_headers.py to blas_headers.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas_scipy.py to blas_scipy.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/elemwise.py to elemwise.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/extra_ops.py to extra_ops.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/fourier.py to fourier.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/inplace.py to inplace.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/io.py to io.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/opt.py to opt.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/randomstreams.py to randomstreams.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/raw_random.py to raw_random.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/sharedvar.py to sharedvar.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/sort.py to sort.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/subtensor.py to subtensor.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/type.py to type.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/type_other.py to type_other.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/utils.py to utils.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/var.py to var.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/xlogx.py to xlogx.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/disturb_mem.py to disturb_mem.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/diverse_tests.py to diverse_tests.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py to main.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/record.py to record.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_config.py to test_config.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_determinism.py to test_determinism.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_gradient.py to test_gradient.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_ifelse.py to test_ifelse.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_printing.py to test_printing.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_rop.py to test_rop.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py to test_tutorial.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_updates.py to test_updates.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/unittest_tools.py to unittest_tools.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py to __init__.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/configdefaults.py to configdefaults.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/configparser.py to configparser.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/generated_version.py to generated_version.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py to gradient.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/ifelse.py to ifelse.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/printing.py to printing.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/raise_op.py to raise_op.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/updates.py to updates.cpython-36.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/version.py to version.cpython-36.pyc running install_egg_info running egg_info writing Theano.egg-info/PKG-INFO writing dependency_links to Theano.egg-info/dependency_links.txt writing requirements to Theano.egg-info/requires.txt writing top-level names to Theano.egg-info/top_level.txt reading manifest file 'Theano.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: manifest_maker: MANIFEST.in, line 7: 'recursive-include' expects ... writing manifest file 'Theano.egg-info/SOURCES.txt' Copying Theano.egg-info to /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/Theano-0.6.0-py3.6.egg-info running install_scripts creating /usr/src/tmp/python-module-theano-buildroot/usr/bin copying build/scripts-3.6/theano-test -> /usr/src/tmp/python-module-theano-buildroot/usr/bin copying build/scripts-3.6/theano-nose -> /usr/src/tmp/python-module-theano-buildroot/usr/bin copying build/scripts-3.6/theano-cache -> /usr/src/tmp/python-module-theano-buildroot/usr/bin changing mode of /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-test to 755 changing mode of /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose to 755 changing mode of /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache to 755 + popd ~/RPM/BUILD/python-module-theano-0.6.0 + pushd /usr/src/tmp/python-module-theano-buildroot/usr/bin ~/tmp/python-module-theano-buildroot/usr/bin ~/RPM/BUILD/python-module-theano-0.6.0 ++ ls + for i in $(ls) + mv theano-cache theano-cache.py3 + for i in $(ls) + mv theano-nose theano-nose.py3 + for i in $(ls) + mv theano-test theano-test.py3 + popd ~/RPM/BUILD/python-module-theano-0.6.0 + CFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CFLAGS + CXXFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export CXXFLAGS + FFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' + export FFLAGS + /usr/bin/python setup.py install --skip-build --root=/usr/src/tmp/python-module-theano-buildroot --force running install running install_lib creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7 creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat copying build/lib/theano/compat/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat copying build/lib/theano/compat/python2x.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat copying build/lib/theano/compat/six.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sandbox copying build/lib/theano/compile/sandbox/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_builders.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_debugmode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_function_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_inplace_opt_for_value.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_misc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_modes.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_monitormode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_pfunc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/tests/test_shared.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests copying build/lib/theano/compile/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/builders.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/debugmode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/function.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/function_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/io.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/mode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/monitormode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/pfunc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/profilemode.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/profiling.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile copying build/lib/theano/compile/sharedvalue.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/lazylinker_c.c -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_cc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_cmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_compute_test_value.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_destroyhandler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_fg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_graph.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_lazy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_link.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_optdb.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_sched.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_toolbox.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_types.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/tests/test_vm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests copying build/lib/theano/gof/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/callcache.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/cc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/cmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/compiledir.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/compilelock.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/cutils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/destroyhandler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/fg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/graph.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/lazylinker_c.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/link.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/null_type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/optdb.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/python25.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/sched.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/toolbox.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/unify.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof copying build/lib/theano/gof/vm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/check_blas_many.sh -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_cudamat_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_gnumpy_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_may_share_memory.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_pycuda_example.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_pycuda_theano_simple.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/tests/test_pycuda_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests copying build/lib/theano/misc/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/buildbot_filter.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/check_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/check_duplicate_key.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/cpucount.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/cudamat_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/doubleop.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/gh_api.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/gnumpy_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/latence_gpu_transfert.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/may_share_memory.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/nose_pr.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/ordered_set.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/pkl_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/pycuda_example.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/pycuda_init.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/pycuda_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/safe_asarray.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/strutil.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc copying build/lib/theano/misc/windows.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/cuda_ndarray.cuh -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/conv.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/conv_full_kernel.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/conv_kernel.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/cuda_ndarray.cu -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_bench_loopfusion.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_cuda_ndarray.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_driver.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_gradient.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_memory.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_mlp.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_nvcc_compiler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_rng_curand.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_tensor_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_var.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/test_viewop.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/tests/walltime.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests copying build/lib/theano/sandbox/cuda/GpuConv3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/GpuConvGrad3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/GpuConvTransp3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/kernel_codegen.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/nvcc_compiler.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/rng_curand.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda copying build/lib/theano/sandbox/cuda/var.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/tests/test_type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests copying build/lib/theano/sandbox/gpuarray/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/basic_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray copying build/lib/theano/sandbox/gpuarray/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/tests/test_kron.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/tests/test_linalg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/tests copying build/lib/theano/sandbox/linalg/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg copying build/lib/theano/sandbox/linalg/kron.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg copying build/lib/theano/sandbox/linalg/ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/tests/test_scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/tests copying build/lib/theano/sandbox/scan_module/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/scan_module/scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/scan_module/scan_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/scan_module/scan_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module copying build/lib/theano/sandbox/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/debug.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/downsample.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/fourier.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/minimal.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/multinomial.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/neighbourhoods.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/rng_mrg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/softsign.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/solve.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/symbolic_module.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_multinomial.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_neighbourhoods.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_neighbours.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_rng_mrg.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/test_theano_object.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox copying build/lib/theano/sandbox/theano_object.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/tests copying build/lib/theano/scalar/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/tests copying build/lib/theano/scalar/tests/test_basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/tests copying build/lib/theano/scalar/tests/test_basic_sympy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/tests copying build/lib/theano/scalar/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar copying build/lib/theano/scalar/basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar copying build/lib/theano/scalar/basic_scipy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar copying build/lib/theano/scalar/basic_sympy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar copying build/lib/theano/scalar/sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_perform.c -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/tests/test_scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/tests/test_scan_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/tests copying build/lib/theano/scan_module/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_perform_ext.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module copying build/lib/theano/scan_module/scan_views.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/sp.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/sp2.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/test_sp.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox copying build/lib/theano/sparse/sandbox/truedot.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_sp2.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests copying build/lib/theano/sparse/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests copying build/lib/theano/sparse/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse copying build/lib/theano/sparse/basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse copying build/lib/theano/sparse/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse copying build/lib/theano/sparse/sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse copying build/lib/theano/sparse/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse copying build/lib/theano/sparse/utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated copying build/lib/theano/tensor/deprecated/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated copying build/lib/theano/tensor/deprecated/rmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated copying build/lib/theano/tensor/deprecated/test_rmodule.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/speed_test_conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_conv3d.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_conv3d2d.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/tests/test_sigm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests copying build/lib/theano/tensor/nnet/Conv3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/ConvGrad3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/ConvTransp3D.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/conv3d2d.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/nnet.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet copying build/lib/theano/tensor/nnet/sigm.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/tests/test_conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/tests/test_downsample.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests copying build/lib/theano/tensor/signal/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal copying build/lib/theano/tensor/signal/conv.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal copying build/lib/theano/tensor/signal/downsample.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/shape_opt_cycle.pkl -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/_test_mpi_roundtrip.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/mlp_test.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_blas_c.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_blas_scipy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_casting.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_complex.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_extra_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_fourier.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_gc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_inc_subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_io.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_keepdims.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_merge.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_misc.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_mpi.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_naacl09.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_opt_uncanonicalize.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_raw_random.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_shared_randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_sort.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/tests/test_xlogx.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests copying build/lib/theano/tensor/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/basic.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/blas.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/blas_c.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/blas_headers.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/blas_scipy.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/elemwise.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/elemwise_cgen.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/extra_ops.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/fourier.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/inplace.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/io.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/opt.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/opt_uncanonicalize.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/raw_random.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/shared_randomstreams.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/sharedvar.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/sort.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/subtensor.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/type.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/type_other.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/utils.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/var.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor copying build/lib/theano/tensor/xlogx.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor creating /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/disturb_mem.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/diverse_tests.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/main.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/record.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/run_tests_in_batch.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_2nd_order_grads.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_config.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_determinism.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_gradient.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_ifelse.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_printing.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_rop.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_tutorial.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/test_updates.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/tests/unittest_tools.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests copying build/lib/theano/__init__.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/configdefaults.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/configparser.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/generated_version.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/gradient.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/ifelse.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/printing.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/raise_op.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/updates.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano copying build/lib/theano/version.py -> /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py to python2x.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.py to six.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sandbox/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_builders.py to test_builders.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_debugmode.py to test_debugmode.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_function_module.py to test_function_module.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_inplace_opt_for_value.py to test_inplace_opt_for_value.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_misc.py to test_misc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_modes.py to test_modes.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_module.py to test_module.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_monitormode.py to test_monitormode.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_pfunc.py to test_pfunc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_shared.py to test_shared.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/builders.py to builders.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py to debugmode.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function.py to function.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py to function_module.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/io.py to io.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py to mode.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py to module.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/monitormode.py to monitormode.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/ops.py to ops.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py to pfunc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py to profilemode.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py to profiling.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sharedvalue.py to sharedvalue.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_cc.py to test_cc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_cmodule.py to test_cmodule.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_fg.py to test_fg.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_graph.py to test_graph.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_lazy.py to test_lazy.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_link.py to test_link.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_op.py to test_op.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_opt.py to test_opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_optdb.py to test_optdb.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_sched.py to test_sched.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_toolbox.py to test_toolbox.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_types.py to test_types.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_utils.py to test_utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_vm.py to test_vm.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/callcache.py to callcache.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py to cc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py to cmodule.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py to compiledir.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compilelock.py to compilelock.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py to cutils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py to destroyhandler.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py to fg.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py to graph.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py to lazylinker_c.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/link.py to link.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/null_type.py to null_type.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py to op.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py to opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py to optdb.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/python25.py to python25.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/sched.py to sched.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/toolbox.py to toolbox.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/type.py to type.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/unify.py to unify.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/utils.py to utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py to vm.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_cudamat_utils.py to 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvGrad3D.py to GpuConvGrad3D.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py to GpuConvTransp3D.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/basic_ops.py to basic_ops.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/blas.py to blas.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/elemwise.py to elemwise.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/kernel_codegen.py to kernel_codegen.pyc 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scan.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py to scan_op.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py to scan_opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py to scan_utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_views.py to scan_views.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py to sp.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp2.py to sp2.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/test_sp.py to test_sp.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py to truedot.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests/test_basic.py to test_basic.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests/test_opt.py to test_opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests/test_sp2.py to test_sp2.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/tests/test_utils.py to test_utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py to basic.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/opt.py to opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sharedvar.py to sharedvar.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/type.py to type.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/utils.py to utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated/rmodule.py to rmodule.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/deprecated/test_rmodule.py to test_rmodule.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/test_conv3d.py to test_conv3d.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/Conv3D.py to Conv3D.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/ConvGrad3D.py to ConvGrad3D.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/ConvTransp3D.py to ConvTransp3D.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv.py to conv.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py to nnet.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py to sigm.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests/test_conv.py to test_conv.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/tests/test_downsample.py to test_downsample.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/conv.py to conv.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/downsample.py to downsample.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/mlp_test.py to mlp_test.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_basic.py to test_basic.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_blas.py to test_blas.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_casting.py to test_casting.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_complex.py to test_complex.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_fourier.py to test_fourier.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_gc.py to test_gc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_io.py to test_io.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_merge.py to test_merge.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_misc.py to test_misc.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_mpi.py to test_mpi.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_naacl09.py to test_naacl09.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_opt.py to test_opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_randomstreams.py to test_randomstreams.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_sort.py to test_sort.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_utils.py to test_utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py to basic.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/blas.py to blas.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/blas_c.py to blas_c.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/blas_headers.py to blas_headers.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/blas_scipy.py to blas_scipy.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/elemwise.py to elemwise.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/extra_ops.py to extra_ops.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/fourier.py to fourier.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/inplace.py to inplace.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/io.py to io.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py to opt.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/randomstreams.py to randomstreams.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py to raw_random.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sharedvar.py to sharedvar.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sort.py to sort.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py to subtensor.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py to type.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type_other.py to type_other.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/utils.py to utils.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py to var.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/xlogx.py to xlogx.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/disturb_mem.py to disturb_mem.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/diverse_tests.py to diverse_tests.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/main.py to main.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/record.py to record.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_config.py to test_config.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_determinism.py to test_determinism.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_gradient.py to test_gradient.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_ifelse.py to test_ifelse.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_printing.py to test_printing.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_rop.py to test_rop.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py to test_tutorial.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_updates.py to test_updates.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/unittest_tools.py to unittest_tools.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py to __init__.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configdefaults.py to configdefaults.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configparser.py to configparser.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/generated_version.py to generated_version.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py to gradient.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py to ifelse.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/printing.py to printing.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/raise_op.py to raise_op.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/updates.py to updates.pyc byte-compiling /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/version.py to version.pyc running install_egg_info running egg_info writing requirements to Theano.egg-info/requires.txt writing Theano.egg-info/PKG-INFO writing top-level names to Theano.egg-info/top_level.txt writing dependency_links to Theano.egg-info/dependency_links.txt reading manifest file 'Theano.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: manifest_maker: MANIFEST.in, line 7: 'recursive-include' expects ... writing manifest file 'Theano.egg-info/SOURCES.txt' Copying Theano.egg-info to /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/Theano-0.6.0-py2.7.egg-info running install_scripts copying build/scripts-2.7/theano-test -> /usr/src/tmp/python-module-theano-buildroot/usr/bin copying build/scripts-2.7/theano-nose -> /usr/src/tmp/python-module-theano-buildroot/usr/bin copying build/scripts-2.7/theano-cache -> /usr/src/tmp/python-module-theano-buildroot/usr/bin changing mode of /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-test to 755 changing mode of /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose to 755 changing mode of /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache to 755 + /usr/lib/rpm/brp-alt Cleaning files in /usr/src/tmp/python-module-theano-buildroot (auto) Verifying and fixing files in /usr/src/tmp/python-module-theano-buildroot (binconfig,pkgconfig,libtool,desktop) Checking contents of files in /usr/src/tmp/python-module-theano-buildroot/ (default) Compressing files in /usr/src/tmp/python-module-theano-buildroot (auto) Adjusting library links in /usr/src/tmp/python-module-theano-buildroot ./usr/lib: Verifying ELF objects in /usr/src/tmp/python-module-theano-buildroot (arch=normal,fhs=normal,lfs=relaxed,lint=relaxed,rpath=normal,stack=normal,textrel=normal,unresolved=normal) Bytecompiling python modules in /usr/src/tmp/python-module-theano-buildroot using /usr/bin/python unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.pyc unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.pyc unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.pyc compile /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py compile /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py compile /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.py unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sandbox/__init__.pyc compile /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sandbox/__init__.py unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/__init__.pyc unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_builders.pyc unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_debugmode.pyc unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_function_module.pyc unlink /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_inplace_opt_for_value.pyc unlink 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'./usr/lib/python2.7/site-packages/theano/compile/monitormode.pyo' => './usr/lib/python2.7/site-packages/theano/compile/monitormode.pyc' './usr/lib/python2.7/site-packages/theano/compile/mode.pyo' => './usr/lib/python2.7/site-packages/theano/compile/mode.pyc' './usr/lib/python2.7/site-packages/theano/compile/function.pyo' => './usr/lib/python2.7/site-packages/theano/compile/function.pyc' './usr/lib/python2.7/site-packages/theano/compile/__init__.pyo' => './usr/lib/python2.7/site-packages/theano/compile/__init__.pyc' './usr/lib/python2.7/site-packages/theano/compile/tests/test_misc.pyo' => './usr/lib/python2.7/site-packages/theano/compile/tests/test_misc.pyc' './usr/lib/python2.7/site-packages/theano/compile/tests/__init__.pyo' => './usr/lib/python2.7/site-packages/theano/compile/tests/__init__.pyc' './usr/lib/python2.7/site-packages/theano/compile/sandbox/__init__.pyo' => './usr/lib/python2.7/site-packages/theano/compile/sandbox/__init__.pyc' './usr/lib/python2.7/site-packages/theano/compat/six.pyo' => './usr/lib/python2.7/site-packages/theano/compat/six.pyc' './usr/lib/python2.7/site-packages/theano/compat/python2x.pyo' => './usr/lib/python2.7/site-packages/theano/compat/python2x.pyc' './usr/lib/python2.7/site-packages/theano/compat/__init__.pyo' => './usr/lib/python2.7/site-packages/theano/compat/__init__.pyc' Processing files: python-module-theano-0.6.0-alt4.qa1 Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.69451 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd python-module-theano-0.6.0 + DOCDIR=/usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-0.6.0 + export DOCDIR + rm -rf /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-0.6.0 + /bin/mkdir -p /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-0.6.0 + cp -prL DESCRIPTION.txt EMAIL.txt HISTORY.txt LICENSE.txt NEWS.txt NEWS_DEV.txt README.txt /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-0.6.0 + chmod -R go-w /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-0.6.0 + chmod -R a+rX /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-0.6.0 + exit 0 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.xn4u0e find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,python3,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.DzvsyG find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks) python.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: line=85 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: line=90 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: line=96 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=12 IGNORE (for REQ=slight and deep=8) module=operator /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=29 IGNORE (for REQ=slight and deep=8) module=functools /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=30 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=31 IGNORE (for REQ=slight and deep=8) module=itertools /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=32 IGNORE (for REQ=slight and deep=8) module=sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=42 IGNORE (for REQ=slight and deep=8) module=operator /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=50 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=51 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/__init__.py: line=52 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=88 IGNORE (for REQ=slight and deep=15) module=copy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=99 IGNORE (for REQ=slight and deep=8) module=__builtin__ /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=102 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=103 IGNORE (for REQ=slight and deep=8) module=functools /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=159 IGNORE (for REQ=slight and deep=8) module=itertools /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=160 IGNORE (for REQ=slight and deep=8) module=sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=191 IGNORE (for REQ=slight and deep=8) module=UserDict /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=324 IGNORE (for REQ=slight and deep=8) module=operator /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=325 IGNORE (for REQ=slight and deep=8) module=heapq /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=326 IGNORE (for REQ=slight and deep=8) module=itertools /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=511 IGNORE (for REQ=slight and deep=12) module=UserDict /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=513 IGNORE (for REQ=slight and deep=12) module=collections /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=515 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/python2x.py: line=516 IGNORE (for REQ=slight and deep=8) module=collections python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.py: line=294 IGNORE (for REQ=slight and deep=8) module=io /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.py: line=303 IGNORE (for REQ=slight and deep=8) module=StringIO /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compat/six.py: line=310 IGNORE (for REQ=slight and deep=8) module=builtins python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/builders.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/builders.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/builders.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/builders.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: skipping gc python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=804 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=1011 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=1012 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=1014 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=1015 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=1556 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/debugmode.py: line=1557 IGNORE (for REQ=slight and deep=15) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/function_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/io.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/io.py: hiding sharedvalue, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: line=41 IGNORE (for REQ=slight and deep=8) module=scipy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: line=162 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: line=343 IGNORE (for REQ=slight and deep=16) module=debugmode /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/mode.py: line=348 IGNORE (for REQ=slight and deep=16) module=profilemode python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/monitormode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/monitormode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/pfunc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: hiding profiling, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: line=99 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: line=513 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: line=514 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: line=515 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profilemode.py: line=516 IGNORE (for REQ=slight and deep=12) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: line=927 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: line=928 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: line=929 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/profiling.py: line=930 IGNORE (for REQ=slight and deep=12) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/sharedvalue.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configdefaults.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configdefaults.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configdefaults.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configparser.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configparser.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configparser.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/configparser.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: line=17 IGNORE (for REQ=slight and deep=8) module=hashlib /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: line=29 IGNORE (for REQ=slight and deep=8) module=hashlib /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: line=34 IGNORE (for REQ=slight and deep=8) module=md5 python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cc.py: line=1383 IGNORE (for REQ=slight and deep=15) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: line=20 IGNORE (for REQ=slight and deep=8) module=importlib python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cmodule.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py: skipping errno python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compiledir.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/compilelock.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: hiding cmodule, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: line=272 IGNORE (for REQ=slight and deep=12) module=cutils_ext /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: line=283 IGNORE (for REQ=slight and deep=20) module=cutils_ext /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/cutils.py: line=287 IGNORE (for REQ=slight and deep=20) module=cutils_ext python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding toolbox, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding graph, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/destroyhandler.py: hiding fg, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/fg.py: line=246 IGNORE (for REQ=slight and deep=15) module=null_type python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py: line=861 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/graph.py: line=862 IGNORE (for REQ=slight and deep=12) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: skipping errno python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: line=18 IGNORE (for REQ=slight and deep=8) module=lazylinker_ext /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: line=98 IGNORE (for REQ=slight and deep=16) module=lazylinker_ext python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/lazylinker_c.py: skipping lazylinker_ext python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/link.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/link.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/link.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/link.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/link.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/null_type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: line=361 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/op.py: line=424 IGNORE (for REQ=slight and deep=27) module=pdb python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: hiding destroyhandler, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: line=299 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/opt.py: line=1088 IGNORE (for REQ=slight and deep=19) module=pdb python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/optdb.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/python25.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/sched.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/sched.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/sched.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/toolbox.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/toolbox.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/toolbox.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/toolbox.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/toolbox.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/unify.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/unify.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py: hiding link, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/vm.py: line=516 IGNORE (for REQ=slight and deep=8) module=lazylinker_c python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: skipping __builtin__ python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=177 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=402 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=1382 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=1383 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=1384 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=1547 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gradient.py: line=1617 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/ifelse.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/buildbot_filter.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/buildbot_filter.py: line=22 IGNORE (for REQ=slight and deep=8) module=pdb python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/check_blas.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/check_blas.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/check_blas.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: 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theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/GpuConvTransp3D.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: 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which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/nvcc_compiler.py: line=181 IGNORE (for REQ=slight and deep=16) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO 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SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: 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SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/rng_curand.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/rng_curand.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/rng_curand.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/rng_curand.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/rng_curand.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/rng_curand.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: line=17 IGNORE (for REQ=slight and deep=8) module=cuda_ndarray /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: line=18 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/type.py: line=19 IGNORE (for REQ=slight and deep=8) module=cuda_ndarray python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/downsample.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/downsample.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/fourier.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/fourier.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: 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theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/basic_ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/basic_ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/basic_ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/basic_ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=17 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python.req.py: 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/elemwise.py: line=10 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/elemwise.py: line=11 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/elemwise.py: line=12 IGNORE (for REQ=slight and deep=8) module=pygpu python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/elemwise.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/elemwise.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: 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python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/opt.py: hiding theano, which SEEMS TO BE 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/subtensor.py: line=13 IGNORE (for REQ=slight and deep=8) module=pygpu python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: line=11 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: line=12 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: line=13 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/type.py: line=209 IGNORE (for REQ=slight and deep=11) module=basic_ops python.req: 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python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/ops.py: line=19 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/minimal.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/minimal.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: line=11 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: line=12 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/multinomial.py: line=13 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbourhoods.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbourhoods.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbourhoods.py: skipping __builtin__ python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbours.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbours.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbours.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbours.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbours.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding multinomial, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/rng_mrg.py: line=25 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/__init__.py: hiding scan, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding scan_op, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan.py: hiding scan_utils, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/softsign.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/softsign.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/solve.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/solve.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/symbolic_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/symbolic_module.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/theano_object.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/theano_object.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/__init__.py: hiding basic, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/__init__.py: hiding basic_scipy, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_scipy.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_scipy.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_scipy.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_scipy.py: line=15 IGNORE (for REQ=slight and deep=8) module=scipy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_scipy.py: line=16 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_sympy.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_sympy.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_sympy.py: line=8 IGNORE (for REQ=slight and deep=8) module=sympy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/basic_sympy.py: line=9 IGNORE (for REQ=slight and deep=8) module=sympy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/sharedvar.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/sharedvar.py: hiding basic, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan.py: line=940 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_op.py: line=626 IGNORE (for REQ=slight and deep=15) module=scan_perform_ext python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: line=22 IGNORE (for REQ=slight and deep=8) module=scan_perform /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: line=77 IGNORE (for REQ=slight and deep=16) module=scan_perform python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py: skipping scan_perform python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_utils.py: line=128 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scan_module/scan_views.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: line=4 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: line=19 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: line=20 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: line=21 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/__init__.py: line=22 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp2.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp2.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/sp2.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sandbox/truedot.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sharedvar.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/sharedvar.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/type.py: line=3 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sparse/utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/__init__.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/basic.py: line=5015 IGNORE (for REQ=slight and deep=12) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/blas.py: skipping sys /usr/lib/rpm/python.req.py: 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/usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv.py: line=28 IGNORE (for REQ=slight and deep=8) module=scipy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv.py: line=29 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/conv3d2d.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: line=120 IGNORE (for REQ=slight and deep=12) module=matplotlib /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: line=133 IGNORE (for REQ=slight and deep=12) module=matplotlib /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/nnet/sigm.py: line=134 IGNORE (for REQ=slight and deep=12) module=os python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/opt_uncanonicalize.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/randomstreams.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/randomstreams.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/randomstreams.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/raw_random.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/shared_randomstreams.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/shared_randomstreams.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sharedvar.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sharedvar.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sharedvar.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/conv.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/conv.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/downsample.py: skipping __builtin__ python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/downsample.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/downsample.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/signal/downsample.py: line=17 IGNORE (for REQ=slight and deep=8) module=sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sort.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sort.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/sort.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: line=26 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: line=28 IGNORE (for REQ=slight and deep=12) module=cutils_ext /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: line=84 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/subtensor.py: line=1479 IGNORE (for REQ=slight and deep=19) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type_other.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type_other.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/type_other.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/utils.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: line=510 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: line=515 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: line=530 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/var.py: line=538 IGNORE (for REQ=slight and deep=11) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/xlogx.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tensor/xlogx.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/updates.py: hiding theano, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/updates.py: hiding theano, which SEEMS TO BE SELF-SATISFIED /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/version.py: line=2 IGNORE (for REQ=slight and deep=8) module=theano shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/buildbot_filter.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/check_blas.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/check_blas_many.sh is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/nose_pr.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/neighbourhoods.py is not executable ++ /bin/sed -e '/python\-base/d' --- find-requires-deps 2019-03-15 12:34:20.600653887 +0000 +++ filter-requires-deps 2019-03-15 12:34:20.601653888 +0000 @@ -5,3 +5,2 @@ procps -python-base python-modules find-requires: FINDPACKAGE-COMMANDS: cat free grep python uname uniq Provides: python2.7(theano), python2.7(theano.compat), python2.7(theano.compat.python2x), python2.7(theano.compat.six), python2.7(theano.compile), python2.7(theano.compile.builders), python2.7(theano.compile.debugmode), python2.7(theano.compile.function), python2.7(theano.compile.function_module), python2.7(theano.compile.io), python2.7(theano.compile.mode), python2.7(theano.compile.module), python2.7(theano.compile.monitormode), python2.7(theano.compile.ops), python2.7(theano.compile.pfunc), python2.7(theano.compile.profilemode), python2.7(theano.compile.profiling), python2.7(theano.compile.sandbox), python2.7(theano.compile.sharedvalue), python2.7(theano.configdefaults), python2.7(theano.configparser), python2.7(theano.generated_version), python2.7(theano.gof), python2.7(theano.gof.callcache), python2.7(theano.gof.cc), python2.7(theano.gof.cmodule), python2.7(theano.gof.compiledir), python2.7(theano.gof.compilelock), python2.7(theano.gof.cutils), python2.7(theano.gof.destroyhandler), python2.7(theano.gof.fg), python2.7(theano.gof.graph), python2.7(theano.gof.lazylinker_c), python2.7(theano.gof.link), python2.7(theano.gof.null_type), python2.7(theano.gof.op), python2.7(theano.gof.opt), python2.7(theano.gof.optdb), python2.7(theano.gof.python25), python2.7(theano.gof.sched), python2.7(theano.gof.toolbox), python2.7(theano.gof.type), python2.7(theano.gof.unify), python2.7(theano.gof.utils), python2.7(theano.gof.vm), python2.7(theano.gradient), python2.7(theano.ifelse), python2.7(theano.misc), python2.7(theano.misc.buildbot_filter), python2.7(theano.misc.check_blas), python2.7(theano.misc.check_duplicate_key), python2.7(theano.misc.cpucount), python2.7(theano.misc.cudamat_utils), python2.7(theano.misc.doubleop), python2.7(theano.misc.gh_api), python2.7(theano.misc.gnumpy_utils), python2.7(theano.misc.latence_gpu_transfert), python2.7(theano.misc.may_share_memory), python2.7(theano.misc.nose_pr), python2.7(theano.misc.ordered_set), python2.7(theano.misc.pkl_utils), python2.7(theano.misc.pycuda_example), python2.7(theano.misc.pycuda_init), python2.7(theano.misc.pycuda_utils), python2.7(theano.misc.safe_asarray), python2.7(theano.misc.strutil), python2.7(theano.misc.windows), python2.7(theano.printing), python2.7(theano.raise_op), python2.7(theano.sandbox), python2.7(theano.sandbox.conv), python2.7(theano.sandbox.cuda), python2.7(theano.sandbox.cuda.GpuConv3D), python2.7(theano.sandbox.cuda.GpuConvGrad3D), python2.7(theano.sandbox.cuda.GpuConvTransp3D), python2.7(theano.sandbox.cuda.basic_ops), python2.7(theano.sandbox.cuda.blas), python2.7(theano.sandbox.cuda.elemwise), python2.7(theano.sandbox.cuda.kernel_codegen), python2.7(theano.sandbox.cuda.neighbours), python2.7(theano.sandbox.cuda.nnet), python2.7(theano.sandbox.cuda.nvcc_compiler), python2.7(theano.sandbox.cuda.opt), python2.7(theano.sandbox.cuda.rng_curand), python2.7(theano.sandbox.cuda.type), python2.7(theano.sandbox.cuda.var), python2.7(theano.sandbox.debug), python2.7(theano.sandbox.downsample), python2.7(theano.sandbox.fourier), python2.7(theano.sandbox.gpuarray), python2.7(theano.sandbox.gpuarray.basic_ops), python2.7(theano.sandbox.gpuarray.blas), python2.7(theano.sandbox.gpuarray.elemwise), python2.7(theano.sandbox.gpuarray.opt), python2.7(theano.sandbox.gpuarray.subtensor), python2.7(theano.sandbox.gpuarray.type), python2.7(theano.sandbox.linalg), python2.7(theano.sandbox.linalg.kron), python2.7(theano.sandbox.linalg.ops), python2.7(theano.sandbox.minimal), python2.7(theano.sandbox.multinomial), python2.7(theano.sandbox.neighbourhoods), python2.7(theano.sandbox.neighbours), python2.7(theano.sandbox.rng_mrg), python2.7(theano.sandbox.scan), python2.7(theano.sandbox.scan_module), python2.7(theano.sandbox.scan_module.scan), python2.7(theano.sandbox.scan_module.scan_op), python2.7(theano.sandbox.scan_module.scan_utils), python2.7(theano.sandbox.softsign), python2.7(theano.sandbox.solve), python2.7(theano.sandbox.symbolic_module), python2.7(theano.sandbox.theano_object), python2.7(theano.scalar), python2.7(theano.scalar.basic), python2.7(theano.scalar.basic_scipy), python2.7(theano.scalar.basic_sympy), python2.7(theano.scalar.sharedvar), python2.7(theano.scan_module), python2.7(theano.scan_module.scan), python2.7(theano.scan_module.scan_op), python2.7(theano.scan_module.scan_opt), python2.7(theano.scan_module.scan_perform_ext), python2.7(theano.scan_module.scan_utils), python2.7(theano.scan_module.scan_views), python2.7(theano.sparse), python2.7(theano.sparse.basic), python2.7(theano.sparse.opt), python2.7(theano.sparse.sandbox), python2.7(theano.sparse.sandbox.sp), python2.7(theano.sparse.sandbox.sp2), python2.7(theano.sparse.sandbox.truedot), python2.7(theano.sparse.sharedvar), python2.7(theano.sparse.type), python2.7(theano.sparse.utils), python2.7(theano.tensor), python2.7(theano.tensor.basic), python2.7(theano.tensor.blas), python2.7(theano.tensor.blas_c), python2.7(theano.tensor.blas_headers), python2.7(theano.tensor.blas_scipy), python2.7(theano.tensor.deprecated), python2.7(theano.tensor.deprecated.rmodule), python2.7(theano.tensor.elemwise), python2.7(theano.tensor.elemwise_cgen), python2.7(theano.tensor.extra_ops), python2.7(theano.tensor.fourier), python2.7(theano.tensor.inplace), python2.7(theano.tensor.io), python2.7(theano.tensor.nnet), python2.7(theano.tensor.nnet.Conv3D), python2.7(theano.tensor.nnet.ConvGrad3D), python2.7(theano.tensor.nnet.ConvTransp3D), python2.7(theano.tensor.nnet.conv), python2.7(theano.tensor.nnet.conv3d2d), python2.7(theano.tensor.nnet.nnet), python2.7(theano.tensor.nnet.sigm), python2.7(theano.tensor.opt), python2.7(theano.tensor.opt_uncanonicalize), python2.7(theano.tensor.randomstreams), python2.7(theano.tensor.raw_random), python2.7(theano.tensor.shared_randomstreams), python2.7(theano.tensor.sharedvar), python2.7(theano.tensor.signal), python2.7(theano.tensor.signal.conv), python2.7(theano.tensor.signal.downsample), python2.7(theano.tensor.sort), python2.7(theano.tensor.subtensor), python2.7(theano.tensor.type), python2.7(theano.tensor.type_other), python2.7(theano.tensor.utils), python2.7(theano.tensor.var), python2.7(theano.tensor.xlogx), python2.7(theano.updates), python2.7(theano.version) Requires: /usr/bin/python, /usr/lib/python2.7/site-packages, coreutils, grep, procps, python-modules, python2.7(distutils), python2.7(inspect), python2.7(json), python2.7(logging), python2.7(numpy), python2.7(requests), python2.7(scipy), python2.7(unittest) Processing files: python3-module-theano-0.6.0-alt4.qa1 Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.85913 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd python-module-theano-0.6.0 + DOCDIR=/usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python3-module-theano-0.6.0 + export DOCDIR + rm -rf /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python3-module-theano-0.6.0 + /bin/mkdir -p /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python3-module-theano-0.6.0 + cp -prL DESCRIPTION.txt EMAIL.txt HISTORY.txt LICENSE.txt NEWS.txt NEWS_DEV.txt README.txt /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python3-module-theano-0.6.0 + chmod -R go-w /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python3-module-theano-0.6.0 + chmod -R a+rX /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python3-module-theano-0.6.0 + exit 0 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ghTh2z find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,python3,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Edx1MP find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks) python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-cache.py3: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=85 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=90 IGNORE (for REQ=slight and deep=12) module=theano.sandbox.cuda.tests.test_driver /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=96 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.gpuarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=5) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=6) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=7) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=8) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=9) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=10) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=11) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=12) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=13) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=14) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=15) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=16) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=17) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=18) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/__init__.py: line=205 IGNORE (for REQ=slight and deep=19) module=theano.tensor.shared_randomstreams python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: skipping theano.compat.six.moves python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: skipping theano.compat.six.moves /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=12 IGNORE (for REQ=slight and deep=8) module=operator /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=29 IGNORE (for REQ=slight and deep=8) module=functools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=30 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=31 IGNORE (for REQ=slight and deep=8) module=itertools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=32 IGNORE (for REQ=slight and deep=8) module=sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=42 IGNORE (for REQ=slight and deep=8) module=operator /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=50 IGNORE (for REQ=slight and deep=8) module=theano.compat.python2x /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=51 IGNORE (for REQ=slight and deep=8) module=theano.compat.python2x /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/__init__.py: line=52 IGNORE (for REQ=slight and deep=8) module=theano.compat.python2x python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=88 IGNORE (for REQ=slight and deep=15) module=copy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=99 IGNORE (for REQ=slight and deep=8) module=builtins /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=102 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=103 IGNORE (for REQ=slight and deep=8) module=functools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=159 IGNORE (for REQ=slight and deep=8) module=itertools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=160 IGNORE (for REQ=slight and deep=8) module=sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=191 IGNORE (for REQ=slight and deep=8) module=UserDict /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=324 IGNORE (for REQ=slight and deep=8) module=operator /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=325 IGNORE (for REQ=slight and deep=8) module=heapq /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=326 IGNORE (for REQ=slight and deep=8) module=itertools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=511 IGNORE (for REQ=slight and deep=12) module=UserDict /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=513 IGNORE (for REQ=slight and deep=12) module=collections /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=515 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/python2x.py: line=516 IGNORE (for REQ=slight and deep=8) module=collections python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [269, [270, [271, [272, [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]]]]]], [4, '', 74]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [270, [271, [272, [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]]]]]], [4, '', 74]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [271, [272, [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [272, [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [319, [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [320, [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [321, [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [322, [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 UNABLE to determine the imported name at parse-time: name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=74 a form of __import__ was read which gave no deps: [323, [324, [1, '__import__', 74]], [326, [7, '(', 74], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'name', 74]]]]]]]]]]]]]]]]]], [8, ')', 74]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=294 IGNORE (for REQ=slight and deep=8) module=io /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=303 IGNORE (for REQ=slight and deep=8) module=io /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compat/six.py: line=310 IGNORE (for REQ=slight and deep=8) module=builtins python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: skipping gc /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=804 IGNORE (for REQ=slight and deep=8) module=theano.misc.may_share_memory /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=1011 IGNORE (for REQ=slight and deep=8) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=1012 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=1014 IGNORE (for REQ=slight and deep=12) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=1015 IGNORE (for REQ=slight and deep=12) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=1556 IGNORE (for REQ=slight and deep=15) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/debugmode.py: line=1557 IGNORE (for REQ=slight and deep=15) module=theano python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/function_module.py: skipping itertools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/function_module.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/io.py: line=5 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/mode.py: line=41 IGNORE (for REQ=slight and deep=8) module=scipy.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/mode.py: line=162 IGNORE (for REQ=slight and deep=11) module=theano.printing /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/mode.py: line=343 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/mode.py: line=348 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/module.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/module.py: skipping itertools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: skipping atexit python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: line=17 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: line=99 IGNORE (for REQ=slight and deep=15) module=theano.gof.cutils /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: line=513 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: line=514 IGNORE (for REQ=slight and deep=12) module=theano.tensor.raw_random /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: line=515 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profilemode.py: line=516 IGNORE (for REQ=slight and deep=12) module=theano.scalar python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: skipping atexit python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: line=927 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: line=928 IGNORE (for REQ=slight and deep=12) module=theano.tensor.raw_random /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: line=929 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/profiling.py: line=930 IGNORE (for REQ=slight and deep=12) module=theano.scalar python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/configparser.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cc.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cc.py: line=17 IGNORE (for REQ=slight and deep=8) module=hashlib /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cc.py: line=29 IGNORE (for REQ=slight and deep=8) module=hashlib /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cc.py: line=34 IGNORE (for REQ=slight and deep=8) module=md5 /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cc.py: line=1383 IGNORE (for REQ=slight and deep=15) module=theano.gof.cutils python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: skipping atexit python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=20 IGNORE (for REQ=slight and deep=8) module=importlib /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [319, [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [320, [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [321, [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [322, [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 UNABLE to determine the imported name at parse-time: module_name /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cmodule.py: line=284 a form of __import__ was read which gave no deps: [323, [324, [1, '__import__', 284]], [326, [7, '(', 284], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [25, '{', 284], [26, '}', 284]]]]]]]]]]]]]]]]], [12, ',', 284], [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [9, '[', 284], [325, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'module_name', 284]]]]]]]]]]]]]]]]], [10, ']', 284]]]]]]]]]]]]]]]]]], [8, ')', 284]]] python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/compiledir.py: skipping errno python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/compiledir.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/compilelock.py: skipping atexit python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/compilelock.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cutils.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cutils.py: line=7 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cutils.py: line=272 IGNORE (for REQ=slight and deep=12) module=cutils_ext.cutils_ext /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cutils.py: line=283 IGNORE (for REQ=slight and deep=20) module=cutils_ext.cutils_ext /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/cutils.py: line=287 IGNORE (for REQ=slight and deep=20) module=cutils_ext.cutils_ext /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/destroyhandler.py: line=6 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/destroyhandler.py: line=7 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/destroyhandler.py: line=12 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/fg.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/fg.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/fg.py: line=246 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/graph.py: line=861 IGNORE (for REQ=slight and deep=12) module=theano.gof.opt /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/graph.py: line=862 IGNORE (for REQ=slight and deep=12) module=theano.scan_module.scan_utils python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/lazylinker_c.py: skipping errno python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/lazylinker_c.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/lazylinker_c.py: line=19 IGNORE (for REQ=slight and deep=8) module=lazylinker_ext /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/lazylinker_c.py: line=99 IGNORE (for REQ=slight and deep=16) module=lazylinker_ext python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/lazylinker_c.py: skipping lazylinker_ext.lazylinker_ext python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/link.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/op.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/op.py: line=361 IGNORE (for REQ=slight and deep=12) module=theano.compile.sharedvalue /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/op.py: line=424 IGNORE (for REQ=slight and deep=27) module=pdb python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/opt.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/opt.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/opt.py: line=31 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/opt.py: line=298 IGNORE (for REQ=slight and deep=12) module=theano.compat.six /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/opt.py: line=1087 IGNORE (for REQ=slight and deep=19) module=pdb python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/optdb.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/toolbox.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/toolbox.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/vm.py: line=6 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/vm.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/vm.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gof/vm.py: line=516 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: skipping builtins /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=178 IGNORE (for REQ=slight and deep=8) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=403 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=1383 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=1384 IGNORE (for REQ=slight and deep=8) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=1385 IGNORE (for REQ=slight and deep=8) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=1548 IGNORE (for REQ=slight and deep=8) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/gradient.py: line=1618 IGNORE (for REQ=slight and deep=8) module=theano.tensor python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/buildbot_filter.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/buildbot_filter.py: line=22 IGNORE (for REQ=slight and deep=8) module=pdb python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_blas.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_blas.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_duplicate_key.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cpucount.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cudamat_utils.py: line=11 IGNORE (for REQ=slight and deep=8) module=cudamat /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cudamat_utils.py: line=16 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cudamat_utils.py: line=78 IGNORE (for REQ=slight and deep=16) module=ctypes /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/cudamat_utils.py: line=106 IGNORE (for REQ=slight and deep=16) module=ctypes /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gh_api.py: line=24 IGNORE (for REQ=slight and deep=8) module=keyring /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gnumpy_utils.py: line=8 IGNORE (for REQ=slight and deep=8) module=gnumpy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gnumpy_utils.py: line=9 IGNORE (for REQ=slight and deep=8) module=cudamat /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gnumpy_utils.py: line=14 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gnumpy_utils.py: line=71 IGNORE (for REQ=slight and deep=16) module=ctypes /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/gnumpy_utils.py: line=116 IGNORE (for REQ=slight and deep=16) module=ctypes python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/latence_gpu_transfert.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/may_share_memory.py: line=12 IGNORE (for REQ=slight and deep=8) module=scipy.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/may_share_memory.py: line=13 IGNORE (for REQ=slight and deep=8) module=theano.sparse.basic /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/may_share_memory.py: line=60 IGNORE (for REQ=slight and deep=12) module=theano.sandbox.cuda.type python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py: skipping errno python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py: line=28 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py: line=287 IGNORE (for REQ=slight and deep=8) module=argparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/ordered_set.py: line=3 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/ordered_set.py: line=42 IGNORE (for REQ=slight and deep=8) module=collections /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/ordered_set.py: line=43 IGNORE (for REQ=slight and deep=8) module=weakref python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pkl_utils.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py: line=33 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py: skipping pycuda python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py: skipping pycuda.elementwise python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py: skipping pycuda.compiler python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py: skipping pycuda.tools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_example.py: skipping pycuda.gpuarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_init.py: line=28 IGNORE (for REQ=slight and deep=12) module=pycuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_init.py: line=29 IGNORE (for REQ=slight and deep=12) module=pycuda.autoinit /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_init.py: line=41 IGNORE (for REQ=slight and deep=16) module=pycuda.autoinit /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_init.py: line=45 IGNORE (for REQ=slight and deep=12) module=pycuda.driver python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/pycuda_utils.py: skipping pycuda.gpuarray python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/printing.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/printing.py: line=17 IGNORE (for REQ=slight and deep=8) module=pydot /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/printing.py: line=837 IGNORE (for REQ=slight and deep=12) module=pydot /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/printing.py: line=1103 IGNORE (for REQ=slight and deep=16) module=hashlib /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/printing.py: line=1173 IGNORE (for REQ=slight and deep=16) module=hashlib python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/conv.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: skipping atexit python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: skipping errno python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: line=15 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: 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., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: line=267 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: line=277 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: line=279 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: line=280 IGNORE (for REQ=slight and deep=8) module=cuda_ndarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/__init__.py: line=281 possible relative import from ., UNIMPLEMENTED 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/usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/basic_ops.py: line=21 IGNORE (for REQ=slight and deep=8) module=cuda_ndarray python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/elemwise.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/neighbours.py: line=9 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/neighbours.py: line=10 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda.basic_ops /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/neighbours.py: line=11 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda.opt python3.req: 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/usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=331 IGNORE (for REQ=slight and deep=11) module=cuda_ndarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=339 IGNORE (for REQ=slight and deep=11) module=cuda_ndarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=433 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=441 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=452 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=466 IGNORE (for REQ=slight and deep=11) module=cuda_ndarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/basic_ops.py: line=474 IGNORE (for REQ=slight and deep=11) module=cuda_ndarray /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/blas.py: line=7 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/blas.py: line=8 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/elemwise.py: line=9 IGNORE 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IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/type.py: line=11 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/type.py: line=12 IGNORE (for REQ=slight and deep=8) module=pygpu /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/type.py: line=13 IGNORE (for REQ=slight and deep=8) module=pygpu.elemwise /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/type.py: line=209 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/__init__.py: line=2 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/__init__.py: line=3 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/ops.py: line=19 IGNORE (for REQ=slight and deep=8) module=scipy.linalg /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/multinomial.py: line=11 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/multinomial.py: line=12 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda.basic_ops /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/multinomial.py: line=13 IGNORE (for REQ=slight and deep=8) 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic_scipy.py: line=16 IGNORE (for REQ=slight and deep=8) module=scipy.stats /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic_sympy.py: line=8 IGNORE (for REQ=slight and deep=8) module=sympy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic_sympy.py: line=9 IGNORE (for REQ=slight and deep=8) module=sympy.utilities.codegen python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/basic_sympy.py: skipping itertools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/sharedvar.py: line=26 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan.py: skipping itertools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan.py: line=940 IGNORE (for REQ=slight and deep=8) module=theano.sandbox python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_op.py: skipping itertools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_op.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_op.py: line=626 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_perform_ext.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_perform_ext.py: line=23 IGNORE (for REQ=slight and deep=8) module=scan_perform /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_perform_ext.py: line=78 IGNORE (for REQ=slight and deep=16) module=scan_perform python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_perform_ext.py: skipping scan_perform.scan_perform /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/scan_utils.py: line=128 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py: line=4 IGNORE (for REQ=slight and deep=8) module=scipy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py: line=19 IGNORE (for REQ=slight and deep=8) module=theano.sparse.basic /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py: line=20 IGNORE (for REQ=slight and deep=8) module=theano.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py: line=21 IGNORE (for REQ=slight and deep=8) module=theano.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/__init__.py: line=22 IGNORE (for REQ=slight and deep=8) module=theano.sparse.sharedvar python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/basic.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/type.py: line=3 IGNORE (for REQ=slight and deep=8) module=scipy.sparse python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/basic.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/basic.py: line=5018 IGNORE (for REQ=slight and deep=12) module=theano.sandbox.linalg python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas.py: line=138 IGNORE (for REQ=slight and deep=8) module=numpy.distutils.__config__ /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas.py: line=294 IGNORE (for REQ=slight and deep=8) module=scipy.linalg.blas python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas_headers.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/blas_scipy.py: line=13 IGNORE (for REQ=slight and deep=8) module=theano.tensor.blas python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/rmodule.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/rmodule.py: line=5 IGNORE (for REQ=slight and deep=8) module=functools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/rmodule.py: line=7 IGNORE (for REQ=slight and deep=8) module=theano.gof.python25 python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/elemwise.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/extra_ops.py: line=485 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.linalg /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/inplace.py: line=2 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/io.py: line=88 IGNORE (for REQ=slight and deep=8) module=mpi4py /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/Conv3D.py: line=630 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/Conv3D.py: line=631 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/ConvGrad3D.py: line=279 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/ConvGrad3D.py: line=280 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/ConvTransp3D.py: line=429 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/ConvTransp3D.py: line=430 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py: line=1 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py: line=2 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py: line=3 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py: line=4 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py: line=5 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/__init__.py: line=6 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/conv.py: line=28 IGNORE (for REQ=slight and deep=8) module=scipy.signal.signaltools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/conv.py: line=29 IGNORE (for REQ=slight and deep=8) module=scipy.signal.sigtools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/sigm.py: line=120 IGNORE (for REQ=slight and deep=12) module=matplotlib /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/sigm.py: line=133 IGNORE (for REQ=slight and deep=12) module=matplotlib.pyplot /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/sigm.py: line=134 IGNORE (for REQ=slight and deep=12) module=os python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/opt.py: skipping itertools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/opt.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/raw_random.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/downsample.py: skipping builtins /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/signal/downsample.py: line=17 IGNORE (for REQ=slight and deep=8) module=sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/subtensor.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/subtensor.py: line=26 IGNORE (for REQ=slight and deep=8) module=theano.gof.cutils /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/subtensor.py: line=28 IGNORE (for REQ=slight and deep=12) module=cutils_ext.cutils_ext /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/subtensor.py: line=84 IGNORE (for REQ=slight and deep=8) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/subtensor.py: line=1479 IGNORE (for REQ=slight and deep=19) module=theano.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/var.py: line=510 IGNORE (for REQ=slight and deep=11) module=theano.tensor.sort /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/var.py: line=515 IGNORE (for REQ=slight and deep=11) module=theano.tensor.sort /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/var.py: line=530 IGNORE (for REQ=slight and deep=11) module=theano.tensor.extra_ops /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/var.py: line=538 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.linalg /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/version.py: line=2 IGNORE (for REQ=slight and deep=8) module=theano.generated_version shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/buildbot_filter.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_blas.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/check_blas_many.sh is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/nose_pr.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/neighbourhoods.py is not executable ++ /bin/sed -e '/python\-base/d' --- find-requires-deps 2019-03-15 12:36:42.577758887 +0000 +++ filter-requires-deps 2019-03-15 12:36:42.579758888 +0000 @@ -5,3 +5,2 @@ procps -python-base python3(collections) < 0 find-requires: FINDPACKAGE-COMMANDS: cat free grep python uname uniq Provides: python3(theano), python3(theano.compat), python3(theano.compat.python2x), python3(theano.compat.six), python3(theano.compile), python3(theano.compile.builders), python3(theano.compile.debugmode), python3(theano.compile.function), python3(theano.compile.function_module), python3(theano.compile.io), python3(theano.compile.mode), python3(theano.compile.module), python3(theano.compile.monitormode), python3(theano.compile.ops), python3(theano.compile.pfunc), python3(theano.compile.profilemode), python3(theano.compile.profiling), python3(theano.compile.sandbox), python3(theano.compile.sharedvalue), python3(theano.configdefaults), python3(theano.configparser), python3(theano.generated_version), python3(theano.gof), python3(theano.gof.callcache), python3(theano.gof.cc), python3(theano.gof.cmodule), python3(theano.gof.compiledir), python3(theano.gof.compilelock), python3(theano.gof.cutils), python3(theano.gof.destroyhandler), python3(theano.gof.fg), python3(theano.gof.graph), python3(theano.gof.lazylinker_c), python3(theano.gof.link), python3(theano.gof.null_type), python3(theano.gof.op), python3(theano.gof.opt), python3(theano.gof.optdb), python3(theano.gof.python25), python3(theano.gof.sched), python3(theano.gof.toolbox), python3(theano.gof.type), python3(theano.gof.unify), python3(theano.gof.utils), python3(theano.gof.vm), python3(theano.gradient), python3(theano.ifelse), python3(theano.misc), python3(theano.misc.buildbot_filter), python3(theano.misc.check_blas), python3(theano.misc.check_duplicate_key), python3(theano.misc.cpucount), python3(theano.misc.cudamat_utils), python3(theano.misc.doubleop), python3(theano.misc.gh_api), python3(theano.misc.gnumpy_utils), python3(theano.misc.latence_gpu_transfert), python3(theano.misc.may_share_memory), python3(theano.misc.nose_pr), python3(theano.misc.ordered_set), python3(theano.misc.pkl_utils), python3(theano.misc.pycuda_example), python3(theano.misc.pycuda_init), python3(theano.misc.pycuda_utils), python3(theano.misc.safe_asarray), python3(theano.misc.strutil), python3(theano.misc.windows), python3(theano.printing), python3(theano.raise_op), python3(theano.sandbox), python3(theano.sandbox.conv), python3(theano.sandbox.cuda), python3(theano.sandbox.cuda.GpuConv3D), python3(theano.sandbox.cuda.GpuConvGrad3D), python3(theano.sandbox.cuda.GpuConvTransp3D), python3(theano.sandbox.cuda.basic_ops), python3(theano.sandbox.cuda.blas), python3(theano.sandbox.cuda.elemwise), python3(theano.sandbox.cuda.kernel_codegen), python3(theano.sandbox.cuda.neighbours), python3(theano.sandbox.cuda.nnet), python3(theano.sandbox.cuda.nvcc_compiler), python3(theano.sandbox.cuda.opt), python3(theano.sandbox.cuda.rng_curand), python3(theano.sandbox.cuda.type), python3(theano.sandbox.cuda.var), python3(theano.sandbox.debug), python3(theano.sandbox.downsample), python3(theano.sandbox.fourier), python3(theano.sandbox.gpuarray), python3(theano.sandbox.gpuarray.basic_ops), python3(theano.sandbox.gpuarray.blas), python3(theano.sandbox.gpuarray.elemwise), python3(theano.sandbox.gpuarray.opt), python3(theano.sandbox.gpuarray.subtensor), python3(theano.sandbox.gpuarray.type), python3(theano.sandbox.linalg), python3(theano.sandbox.linalg.kron), python3(theano.sandbox.linalg.ops), python3(theano.sandbox.minimal), python3(theano.sandbox.multinomial), python3(theano.sandbox.neighbourhoods), python3(theano.sandbox.neighbours), python3(theano.sandbox.rng_mrg), python3(theano.sandbox.scan), python3(theano.sandbox.scan_module), python3(theano.sandbox.scan_module.scan), python3(theano.sandbox.scan_module.scan_op), python3(theano.sandbox.scan_module.scan_utils), python3(theano.sandbox.softsign), python3(theano.sandbox.solve), python3(theano.sandbox.symbolic_module), python3(theano.sandbox.theano_object), python3(theano.scalar), python3(theano.scalar.basic), python3(theano.scalar.basic_scipy), python3(theano.scalar.basic_sympy), python3(theano.scalar.sharedvar), python3(theano.scan_module), python3(theano.scan_module.scan), python3(theano.scan_module.scan_op), python3(theano.scan_module.scan_opt), python3(theano.scan_module.scan_perform_ext), python3(theano.scan_module.scan_utils), python3(theano.scan_module.scan_views), python3(theano.sparse), python3(theano.sparse.basic), python3(theano.sparse.opt), python3(theano.sparse.sandbox), python3(theano.sparse.sandbox.sp), python3(theano.sparse.sandbox.sp2), python3(theano.sparse.sandbox.truedot), python3(theano.sparse.sharedvar), python3(theano.sparse.type), python3(theano.sparse.utils), python3(theano.tensor), python3(theano.tensor.basic), python3(theano.tensor.blas), python3(theano.tensor.blas_c), python3(theano.tensor.blas_headers), python3(theano.tensor.blas_scipy), python3(theano.tensor.deprecated), python3(theano.tensor.deprecated.rmodule), python3(theano.tensor.elemwise), python3(theano.tensor.elemwise_cgen), python3(theano.tensor.extra_ops), python3(theano.tensor.fourier), python3(theano.tensor.inplace), python3(theano.tensor.io), python3(theano.tensor.nnet), python3(theano.tensor.nnet.Conv3D), python3(theano.tensor.nnet.ConvGrad3D), python3(theano.tensor.nnet.ConvTransp3D), python3(theano.tensor.nnet.conv), python3(theano.tensor.nnet.conv3d2d), python3(theano.tensor.nnet.nnet), python3(theano.tensor.nnet.sigm), python3(theano.tensor.opt), python3(theano.tensor.opt_uncanonicalize), python3(theano.tensor.randomstreams), python3(theano.tensor.raw_random), python3(theano.tensor.shared_randomstreams), python3(theano.tensor.sharedvar), python3(theano.tensor.signal), python3(theano.tensor.signal.conv), python3(theano.tensor.signal.downsample), python3(theano.tensor.sort), python3(theano.tensor.subtensor), python3(theano.tensor.type), python3(theano.tensor.type_other), python3(theano.tensor.utils), python3(theano.tensor.var), python3(theano.tensor.xlogx), python3(theano.updates), python3(theano.version) Requires: /usr/bin/python3, /usr/lib/python3/site-packages, coreutils, grep, procps, python3(collections) < 0, python3(copy) < 0, python3(copyreg) < 0, python3(distutils) < 0, python3(distutils.sysconfig) < 0, python3(functools) < 0, python3(getpass) < 0, python3(glob) < 0, python3(imp) < 0, python3(inspect) < 0, python3(json) < 0, python3(logging) < 0, python3(math) < 0, python3(numpy) < 0, python3(numpy.distutils) < 0, python3(numpy.distutils.system_info) < 0, python3(numpy.fft) < 0, python3(numpy.lib.stride_tricks) < 0, python3(operator) < 0, python3(optparse) < 0, python3(os) < 0, python3(pdb) < 0, python3(pickle) < 0, python3(platform) < 0, python3(random) < 0, python3(re) < 0, python3(requests) < 0, python3(scipy) < 0, python3(scipy.linalg) < 0, python3(scipy.sparse) < 0, python3(shutil) < 0, python3(socket) < 0, python3(stat) < 0, python3(struct) < 0, python3(subprocess) < 0, python3(tempfile) < 0, python3(textwrap) < 0, python3(theano.sparse.tests.test_basic) < 0, python3(theano.tests) < 0, python3(theano.tests.unittest_tools) < 0, python3(traceback) < 0, python3(types) < 0, python3(unittest) < 0, python3(warnings) < 0 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find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,python3,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.VVcLeC find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks) python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose.py3: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose.py3: line=33 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose.py3: line=46 IGNORE (for REQ=slight and deep=16) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose.py3: line=88 IGNORE (for REQ=slight and deep=12) module=theano.tests /usr/lib/rpm/python3.req.py: 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: line=55 IGNORE (for REQ=slight and deep=8) module=pycuda.compiler /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_utils.py: line=7 IGNORE (for REQ=slight and deep=8) module=nose.plugins.skip /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_utils.py: line=11 IGNORE (for REQ=slight and deep=8) module=nose.plugins.skip python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/misc/tests/test_pycuda_utils.py: skipping pycuda.gpuarray python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_basic_ops.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=238 IGNORE (for REQ=slight and deep=11) module=theano.config /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=279 IGNORE (for REQ=slight and deep=16) module=nose.plugins.skip /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=280 IGNORE (for REQ=slight and deep=16) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=283 IGNORE (for REQ=slight and deep=16) module=theano.sandbox.cuda python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py: line=14 IGNORE (for REQ=slight and deep=8) module=scipy.signal python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_cuda_ndarray.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_cuda_ndarray.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_memory.py: skipping gc python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_mlp.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_mlp.py: line=441 IGNORE (for REQ=slight and deep=12) module=pickle /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_mlp.py: line=566 IGNORE (for REQ=slight and deep=16) module=pickle /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_mlp.py: line=571 IGNORE (for REQ=slight and deep=16) module=pickle python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_opt.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_tensor_op.py: line=54 IGNORE (for REQ=slight and deep=8) module=theano.tensor.nnet.nnet /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_tensor_op.py: line=74 IGNORE (for REQ=slight and deep=8) module=theano.misc.may_share_memory /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/test_viewop.py: line=12 IGNORE (for REQ=slight and deep=8) module=theano.sandbox python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/walltime.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/cuda/tests/walltime.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py: skipping pygpu /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py: line=81 IGNORE (for REQ=slight and deep=8) module=theano.tensor.sharedvar /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py: line=242 IGNORE (for REQ=slight and deep=9) module=theano.sandbox.cuda python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/gpuarray/tests/test_elemwise.py: skipping pygpu.array /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/linalg/tests/test_kron.py: line=12 IGNORE (for REQ=slight and deep=8) module=scipy.linalg python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests/test_scan.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests/test_scan.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/scan_module/tests/test_scan.py: line=20 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_multinomial.py: line=7 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_multinomial.py: line=123 IGNORE (for REQ=slight and deep=12) module=nose.plugins.skip /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_neighbours.py: line=9 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_rng_mrg.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_rng_mrg.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_rng_mrg.py: line=14 IGNORE (for REQ=slight and deep=8) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_scan.py: line=3 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_theano_object.py: line=1 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests/test_basic_sympy.py: line=6 IGNORE (for REQ=slight and deep=8) module=sympy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scalar/tests/test_basic_sympy.py: line=10 IGNORE (for REQ=slight and deep=8) module=nose.plugins.skip python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan.py: line=367 IGNORE (for REQ=slight and deep=11) module=theano.sandbox /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan.py: line=447 IGNORE (for REQ=slight and deep=11) module=theano.sandbox /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan.py: line=511 IGNORE (for REQ=slight and deep=11) module=theano.sandbox /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/scan_module/tests/test_scan.py: line=1196 IGNORE (for REQ=slight and deep=11) module=theano.sandbox python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/test_sp.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/test_sp.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/sandbox/test_sp.py: line=151 IGNORE (for REQ=slight and deep=11) module=theano.gof python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_basic.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_basic.py: line=7 IGNORE (for REQ=slight and deep=8) module=scipy.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_basic.py: line=8 IGNORE (for REQ=slight and deep=8) module=scipy.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_basic.py: line=1219 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_opt.py: line=4 IGNORE (for REQ=slight and deep=8) module=scipy.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_opt.py: line=5 IGNORE (for REQ=slight and deep=8) module=scipy.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sparse/tests/test_sp2.py: line=6 IGNORE (for REQ=slight and deep=8) module=scipy.sparse python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/test_rmodule.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/deprecated/test_rmodule.py: line=73 IGNORE (for REQ=slight and deep=8) module=theano.tests python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/speed_test_conv.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/speed_test_conv.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/speed_test_conv.py: line=88 IGNORE (for REQ=slight and deep=16) module=scipy.signal.sigtools /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/speed_test_conv.py: line=89 IGNORE (for REQ=slight and deep=16) module=scipy.signal.signaltools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv3d.py: line=13 IGNORE (for REQ=slight and deep=8) module=scipy python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv3d2d.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/nnet/tests/test_conv3d2d.py: line=6 IGNORE (for REQ=slight and deep=8) module=scipy python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/_test_mpi_roundtrip.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_basic.py: skipping itertools python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_basic.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_basic.py: skipping builtins /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_basic.py: line=56 IGNORE (for REQ=slight and deep=8) module=scipy.special /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_basic.py: line=57 IGNORE (for REQ=slight and deep=8) module=scipy.stats /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas.py: line=22 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas_c.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas_scipy.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_blas_scipy.py: line=7 possible relative import from ., UNIMPLEMENTED python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_gc.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_gc.py: skipping time python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_misc.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py: line=563 IGNORE (for REQ=slight and deep=8) module=time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py: line=638 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py: line=653 IGNORE (for REQ=slight and deep=8) module=cProfile /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py: line=654 IGNORE (for REQ=slight and deep=8) module=pstats /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_naacl09.py: line=655 IGNORE (for REQ=slight and deep=8) module=theano.compat.six python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1089 IGNORE (for REQ=slight and deep=19) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1151 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1165 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1225 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1252 IGNORE (for REQ=slight and deep=11) module=gc /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1253 IGNORE (for REQ=slight and deep=11) module=pdb /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1254 IGNORE (for REQ=slight and deep=11) module=objgraph /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1255 IGNORE (for REQ=slight and deep=11) module=weakref /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1261 IGNORE (for REQ=slight and deep=11) module=theano.compile.function_module /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1400 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=1404 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda.opt /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=2655 IGNORE (for REQ=slight and deep=11) module=theano.sandbox.cuda /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_opt.py: line=2665 IGNORE (for REQ=slight and deep=11) module=theano.misc.pkl_utils python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_randomstreams.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_randomstreams.py: line=698 IGNORE (for REQ=slight and deep=8) module=theano.tests /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_raw_random.py: line=1145 IGNORE (for REQ=slight and deep=8) module=theano.tests python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_shared_randomstreams.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_shared_randomstreams.py: line=803 IGNORE (for REQ=slight and deep=8) module=theano.tests python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_subtensor.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tensor/tests/test_xlogx.py: line=7 possible relative import from ., UNIMPLEMENTED /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/__init__.py: line=3 IGNORE (for REQ=slight and deep=8) module=theano.tests.main python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=42 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [319, [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [320, [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [321, [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [322, [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=137 a form of __import__ was read which gave no deps: [323, [324, [1, '__import__', 137]], [326, [7, '(', 137], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 137]]]]]]]]]]]]]]]]]], [8, ')', 137]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [274, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [317, [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [318, [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [319, [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [320, [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [321, [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [322, [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]]] /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 UNABLE to determine the imported name at parse-time: modulename /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/main.py: line=141 a form of __import__ was read which gave no deps: [323, [324, [1, '__import__', 141]], [326, [7, '(', 141], [334, [335, [305, [309, [310, [311, [312, [315, [316, [317, [318, [319, [320, [321, [322, [323, [324, [1, 'modulename', 141]]]]]]]]]]]]]]]]]], [8, ')', 141]]] python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/run_tests_in_batch.py: skipping sys python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/run_tests_in_batch.py: skipping time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_determinism.py: line=28 IGNORE (for REQ=slight and deep=12) module=hashlib /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_ifelse.py: line=238 IGNORE (for REQ=slight and deep=11) module=theano.sparse /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=41 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=48 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=68 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=86 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=128 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=176 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=276 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=285 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=344 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=392 IGNORE (for REQ=slight and deep=11) module=theano.gof /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=453 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=454 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=479 IGNORE (for REQ=slight and deep=11) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=480 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=540 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=564 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=573 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=585 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=618 IGNORE (for REQ=slight and deep=11) module=theano.tensor.shared_randomstreams /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=664 IGNORE (for REQ=slight and deep=11) module=numpy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=664 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=680 IGNORE (for REQ=slight and deep=11) module=numpy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=680 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=700 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=700 IGNORE (for REQ=slight and deep=11) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=716 IGNORE (for REQ=slight and deep=11) module=pickle /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=717 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=717 IGNORE (for REQ=slight and deep=11) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=729 IGNORE (for REQ=slight and deep=15) module=tempfile /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=790 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=791 IGNORE (for REQ=slight and deep=11) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=792 IGNORE (for REQ=slight and deep=11) module=numpy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=793 IGNORE (for REQ=slight and deep=11) module=time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=822 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=823 IGNORE (for REQ=slight and deep=15) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=824 IGNORE (for REQ=slight and deep=15) module=numpy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=825 IGNORE (for REQ=slight and deep=15) module=time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=852 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=853 IGNORE (for REQ=slight and deep=15) module=theano.tensor /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=854 IGNORE (for REQ=slight and deep=15) module=numpy /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=855 IGNORE (for REQ=slight and deep=15) module=time /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=945 IGNORE (for REQ=slight and deep=11) module=theano.tensor.opt /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/test_tutorial.py: line=1009 IGNORE (for REQ=slight and deep=11) module=theano.tensor python3.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/unittest_tools.py: skipping sys /usr/lib/rpm/python3.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/unittest_tools.py: line=14 IGNORE (for REQ=slight and deep=8) module=nose.plugins.skip shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_inplace_opt_for_value.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/compile/tests/test_module.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/sandbox/test_neighbourhoods.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python3/site-packages/theano/tests/run_tests_in_batch.py is not executable ++ /bin/sed -e '/python\-base/d' Provides: python3(theano.compile.tests), python3(theano.compile.tests.test_builders), python3(theano.compile.tests.test_debugmode), python3(theano.compile.tests.test_function_module), python3(theano.compile.tests.test_inplace_opt_for_value), python3(theano.compile.tests.test_misc), python3(theano.compile.tests.test_modes), python3(theano.compile.tests.test_module), python3(theano.compile.tests.test_monitormode), python3(theano.compile.tests.test_pfunc), python3(theano.compile.tests.test_shared), python3(theano.gof.tests), python3(theano.gof.tests.test_cc), python3(theano.gof.tests.test_cmodule), python3(theano.gof.tests.test_compute_test_value), python3(theano.gof.tests.test_destroyhandler), python3(theano.gof.tests.test_fg), python3(theano.gof.tests.test_graph), python3(theano.gof.tests.test_lazy), python3(theano.gof.tests.test_link), python3(theano.gof.tests.test_op), python3(theano.gof.tests.test_opt), python3(theano.gof.tests.test_optdb), python3(theano.gof.tests.test_sched), python3(theano.gof.tests.test_toolbox), python3(theano.gof.tests.test_types), python3(theano.gof.tests.test_utils), python3(theano.gof.tests.test_vm), python3(theano.misc.tests), python3(theano.misc.tests.test_cudamat_utils), python3(theano.misc.tests.test_gnumpy_utils), python3(theano.misc.tests.test_may_share_memory), python3(theano.misc.tests.test_pycuda_example), python3(theano.misc.tests.test_pycuda_theano_simple), python3(theano.misc.tests.test_pycuda_utils), python3(theano.sandbox.cuda.tests), python3(theano.sandbox.cuda.tests.test_basic_ops), python3(theano.sandbox.cuda.tests.test_bench_loopfusion), python3(theano.sandbox.cuda.tests.test_blas), python3(theano.sandbox.cuda.tests.test_conv_cuda_ndarray), python3(theano.sandbox.cuda.tests.test_cuda_ndarray), python3(theano.sandbox.cuda.tests.test_driver), python3(theano.sandbox.cuda.tests.test_gradient), python3(theano.sandbox.cuda.tests.test_memory), python3(theano.sandbox.cuda.tests.test_mlp), python3(theano.sandbox.cuda.tests.test_neighbours), python3(theano.sandbox.cuda.tests.test_nnet), python3(theano.sandbox.cuda.tests.test_nvcc_compiler), python3(theano.sandbox.cuda.tests.test_opt), python3(theano.sandbox.cuda.tests.test_rng_curand), python3(theano.sandbox.cuda.tests.test_tensor_op), python3(theano.sandbox.cuda.tests.test_var), python3(theano.sandbox.cuda.tests.test_viewop), python3(theano.sandbox.cuda.tests.walltime), python3(theano.sandbox.gpuarray.tests), python3(theano.sandbox.gpuarray.tests.test_basic_ops), python3(theano.sandbox.gpuarray.tests.test_blas), python3(theano.sandbox.gpuarray.tests.test_elemwise), python3(theano.sandbox.gpuarray.tests.test_opt), python3(theano.sandbox.gpuarray.tests.test_subtensor), python3(theano.sandbox.gpuarray.tests.test_type), python3(theano.sandbox.linalg.tests), python3(theano.sandbox.linalg.tests.test_kron), python3(theano.sandbox.linalg.tests.test_linalg), python3(theano.sandbox.scan_module.tests), python3(theano.sandbox.scan_module.tests.test_scan), python3(theano.sandbox.scan_module.tests.test_utils), python3(theano.sandbox.test_multinomial), python3(theano.sandbox.test_neighbourhoods), python3(theano.sandbox.test_neighbours), python3(theano.sandbox.test_rng_mrg), python3(theano.sandbox.test_scan), python3(theano.sandbox.test_theano_object), python3(theano.scalar.tests), python3(theano.scalar.tests.test_basic), python3(theano.scalar.tests.test_basic_sympy), python3(theano.scan_module.tests), python3(theano.scan_module.tests.test_scan), python3(theano.scan_module.tests.test_scan_opt), python3(theano.sparse.sandbox.test_sp), python3(theano.sparse.tests), python3(theano.sparse.tests.test_basic), python3(theano.sparse.tests.test_opt), python3(theano.sparse.tests.test_sp2), python3(theano.sparse.tests.test_utils), python3(theano.tensor.deprecated.test_rmodule), python3(theano.tensor.nnet.tests), python3(theano.tensor.nnet.tests.speed_test_conv), python3(theano.tensor.nnet.tests.test_conv), python3(theano.tensor.nnet.tests.test_conv3d), python3(theano.tensor.nnet.tests.test_conv3d2d), python3(theano.tensor.nnet.tests.test_nnet), python3(theano.tensor.nnet.tests.test_sigm), python3(theano.tensor.signal.tests), python3(theano.tensor.signal.tests.test_conv), python3(theano.tensor.signal.tests.test_downsample), python3(theano.tensor.tests), python3(theano.tensor.tests._test_mpi_roundtrip), python3(theano.tensor.tests.mlp_test), python3(theano.tensor.tests.test_basic), python3(theano.tensor.tests.test_blas), python3(theano.tensor.tests.test_blas_c), python3(theano.tensor.tests.test_blas_scipy), python3(theano.tensor.tests.test_casting), python3(theano.tensor.tests.test_complex), python3(theano.tensor.tests.test_elemwise), python3(theano.tensor.tests.test_extra_ops), python3(theano.tensor.tests.test_fourier), python3(theano.tensor.tests.test_gc), python3(theano.tensor.tests.test_inc_subtensor), python3(theano.tensor.tests.test_io), python3(theano.tensor.tests.test_keepdims), python3(theano.tensor.tests.test_merge), python3(theano.tensor.tests.test_misc), python3(theano.tensor.tests.test_mpi), python3(theano.tensor.tests.test_naacl09), python3(theano.tensor.tests.test_opt), python3(theano.tensor.tests.test_opt_uncanonicalize), python3(theano.tensor.tests.test_randomstreams), python3(theano.tensor.tests.test_raw_random), python3(theano.tensor.tests.test_shared_randomstreams), python3(theano.tensor.tests.test_sharedvar), python3(theano.tensor.tests.test_sort), python3(theano.tensor.tests.test_subtensor), python3(theano.tensor.tests.test_utils), python3(theano.tensor.tests.test_xlogx), python3(theano.tests), python3(theano.tests.disturb_mem), python3(theano.tests.diverse_tests), python3(theano.tests.main), python3(theano.tests.record), python3(theano.tests.run_tests_in_batch), python3(theano.tests.test_2nd_order_grads), python3(theano.tests.test_config), python3(theano.tests.test_determinism), python3(theano.tests.test_gradient), python3(theano.tests.test_ifelse), python3(theano.tests.test_printing), python3(theano.tests.test_rop), python3(theano.tests.test_tutorial), python3(theano.tests.test_updates), python3(theano.tests.unittest_tools) Requires: python3-module-theano = 0.6.0-alt4.qa1, /usr/bin/python3, /usr/lib/python3/site-packages, python3(copy) < 0, python3(datetime) < 0, python3(functools) < 0, python3(io) < 0, python3(logging) < 0, python3(mpi4py) < 0, python3(nose) < 0, python3(nose.config) < 0, python3(nose.plugins) < 0, python3(nose.plugins.builtin) < 0, python3(nose.plugins.skip) < 0, python3(numpy) < 0, python3(numpy.linalg) < 0, python3(numpy.random) < 0, python3(numpy.testing) < 0, python3(numpy.testing.noseclasses) < 0, python3(numpy.testing.nosetester) < 0, python3(operator) < 0, python3(os) < 0, python3(pickle) < 0, python3(random) < 0, python3(scipy.signal) < 0, python3(scipy.sparse) < 0, python3(shutil) < 0, python3(subprocess) < 0, python3(tempfile) < 0, python3(textwrap) < 0, python3(theano) < 0, python3(theano.compat) < 0, python3(theano.compat.python2x) < 0, python3(theano.compat.six) < 0, python3(theano.compile) < 0, python3(theano.compile.builders) < 0, python3(theano.compile.function_module) < 0, python3(theano.compile.io) < 0, python3(theano.compile.mode) < 0, python3(theano.compile.module) < 0, python3(theano.compile.pfunc) < 0, python3(theano.compile.sharedvalue) < 0, python3(theano.configparser) < 0, python3(theano.gof) < 0, python3(theano.gof.cc) < 0, python3(theano.gof.fg) < 0, python3(theano.gof.graph) < 0, python3(theano.gof.link) < 0, python3(theano.gof.null_type) < 0, python3(theano.gof.op) < 0, python3(theano.gof.opt) < 0, python3(theano.gof.optdb) < 0, python3(theano.gof.python25) < 0, python3(theano.gof.sched) < 0, python3(theano.gof.toolbox) < 0, python3(theano.gof.type) < 0, python3(theano.gof.utils) < 0, python3(theano.gradient) < 0, python3(theano.ifelse) < 0, python3(theano.misc.cudamat_utils) < 0, python3(theano.misc.gnumpy_utils) < 0, python3(theano.misc.may_share_memory) < 0, python3(theano.misc.pycuda_example) < 0, python3(theano.misc.pycuda_init) < 0, python3(theano.misc.pycuda_utils) < 0, python3(theano.misc.windows) < 0, python3(theano.printing) < 0, python3(theano.sandbox) < 0, python3(theano.sandbox.cuda) < 0, python3(theano.sandbox.cuda.basic_ops) < 0, python3(theano.sandbox.cuda.blas) < 0, python3(theano.sandbox.cuda.neighbours) < 0, python3(theano.sandbox.cuda.nvcc_compiler) < 0, python3(theano.sandbox.cuda.rng_curand) < 0, python3(theano.sandbox.cuda.type) < 0, python3(theano.sandbox.cuda.var) < 0, python3(theano.sandbox.gpuarray) < 0, python3(theano.sandbox.gpuarray.basic_ops) < 0, python3(theano.sandbox.gpuarray.blas) < 0, python3(theano.sandbox.gpuarray.elemwise) < 0, python3(theano.sandbox.gpuarray.subtensor) < 0, python3(theano.sandbox.gpuarray.type) < 0, python3(theano.sandbox.linalg) < 0, python3(theano.sandbox.linalg.kron) < 0, python3(theano.sandbox.linalg.ops) < 0, python3(theano.sandbox.neighbourhoods) < 0, python3(theano.sandbox.rng_mrg) < 0, python3(theano.sandbox.scan_module) < 0, python3(theano.sandbox.scan_module.scan_op) < 0, python3(theano.sandbox.softsign) < 0, python3(theano.scalar) < 0, python3(theano.scalar.basic) < 0, python3(theano.scalar.basic_scipy) < 0, python3(theano.scalar.basic_sympy) < 0, python3(theano.scalar.sharedvar) < 0, python3(theano.scan_module) < 0, python3(theano.sparse) < 0, python3(theano.sparse.basic) < 0, python3(theano.sparse.opt) < 0, python3(theano.sparse.sandbox) < 0, python3(theano.sparse.sandbox.sp2) < 0, python3(theano.sparse.utils) < 0, python3(theano.tensor) < 0, python3(theano.tensor.basic) < 0, python3(theano.tensor.blas) < 0, python3(theano.tensor.blas_c) < 0, python3(theano.tensor.blas_scipy) < 0, python3(theano.tensor.deprecated.rmodule) < 0, python3(theano.tensor.elemwise) < 0, python3(theano.tensor.extra_ops) < 0, python3(theano.tensor.fourier) < 0, python3(theano.tensor.inplace) < 0, python3(theano.tensor.io) < 0, python3(theano.tensor.nnet) < 0, python3(theano.tensor.nnet.Conv3D) < 0, python3(theano.tensor.nnet.ConvGrad3D) < 0, python3(theano.tensor.nnet.ConvTransp3D) < 0, python3(theano.tensor.nnet.conv) < 0, python3(theano.tensor.nnet.conv3d2d) < 0, python3(theano.tensor.nnet.sigm) < 0, python3(theano.tensor.opt) < 0, python3(theano.tensor.randomstreams) < 0, python3(theano.tensor.raw_random) < 0, python3(theano.tensor.shared_randomstreams) < 0, python3(theano.tensor.signal) < 0, python3(theano.tensor.signal.downsample) < 0, python3(theano.tensor.sort) < 0, python3(theano.tensor.subtensor) < 0, python3(theano.tensor.utils) < 0, python3(theano.tensor.xlogx) < 0, python3(theano.updates) < 0, python3(traceback) < 0, python3(unittest) < 0, python3(warnings) < 0 Processing files: python-module-theano-tests-0.6.0-alt4.qa1 warning: File listed twice: /usr/lib/python2.7/site-packages/theano/compile/tests/test_builders.py warning: File listed twice: /usr/lib/python2.7/site-packages/theano/compile/tests/test_builders.pyc warning: File 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/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py warning: File listed twice: /usr/lib/python2.7/site-packages/theano/tests/test_tutorial.pyc warning: File listed twice: /usr/lib/python2.7/site-packages/theano/tests/test_tutorial.pyo warning: File listed twice: /usr/lib/python2.7/site-packages/theano/tests/test_updates.py warning: File listed twice: /usr/lib/python2.7/site-packages/theano/tests/test_updates.pyc warning: File listed twice: /usr/lib/python2.7/site-packages/theano/tests/test_updates.pyo Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.QfnaOp find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,python3,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.OqNUec find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks) python.req: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose: line=33 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose: line=46 IGNORE (for REQ=slight and deep=16) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose: line=88 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-nose: line=101 IGNORE (for REQ=slight and deep=16) module=numpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-test: line=10 IGNORE (for REQ=slight and deep=8) module=nose /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-test: line=20 IGNORE (for REQ=slight and deep=8) module=sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/bin/theano-test: line=23 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_debugmode.py: line=781 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_function_module.py: line=635 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_inplace_opt_for_value.py: line=272 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_module.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_module.py: line=723 IGNORE (for REQ=slight and deep=8) module=logging /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_module.py: line=724 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_module.py: line=820 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_pfunc.py: line=708 IGNORE (for REQ=slight and deep=15) module=scipy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_pfunc.py: line=713 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_pfunc.py: line=717 IGNORE (for REQ=slight and deep=11) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_compute_test_value.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_link.py: line=167 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_link.py: line=168 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_vm.py: skipping gc python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_vm.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_vm.py: line=6 IGNORE (for REQ=slight and deep=8) module=line_profiler /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_vm.py: line=193 IGNORE (for REQ=slight and deep=12) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/gof/tests/test_vm.py: line=252 IGNORE (for REQ=slight and deep=20) module=resource /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_cudamat_utils.py: line=7 IGNORE (for REQ=slight and deep=8) module=nose /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_gnumpy_utils.py: line=7 IGNORE (for REQ=slight and deep=8) module=nose python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_gnumpy_utils.py: skipping gnumpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_gnumpy_utils.py: line=33 IGNORE (for REQ=slight and deep=8) module=numpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_may_share_memory.py: line=10 IGNORE (for REQ=slight and deep=8) module=scipy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_example.py: line=7 IGNORE (for REQ=slight and deep=8) module=nose /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_example.py: line=13 IGNORE (for REQ=slight and deep=8) module=nose python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: line=17 IGNORE (for REQ=slight and deep=8) module=nose /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: line=22 IGNORE (for REQ=slight and deep=8) module=nose python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: skipping pycuda python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: skipping pycuda python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: skipping pycuda /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: line=32 IGNORE (for REQ=slight and deep=8) module=pycuda /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_theano_simple.py: line=55 IGNORE (for REQ=slight and deep=8) module=pycuda /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_utils.py: line=7 IGNORE (for REQ=slight and deep=8) module=nose /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_utils.py: line=11 IGNORE (for REQ=slight and deep=8) module=nose python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/misc/tests/test_pycuda_utils.py: skipping pycuda python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=238 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=279 IGNORE (for REQ=slight and deep=16) module=nose /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=280 IGNORE (for REQ=slight and deep=16) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py: line=283 IGNORE (for REQ=slight and deep=16) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py: line=14 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_cuda_ndarray.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_memory.py: skipping gc /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_mlp.py: line=441 IGNORE (for REQ=slight and deep=12) module=pickle /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_mlp.py: line=566 IGNORE (for REQ=slight and deep=16) module=pickle /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_mlp.py: line=571 IGNORE (for REQ=slight and deep=16) module=pickle python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_opt.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_tensor_op.py: line=54 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_tensor_op.py: line=74 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_viewop.py: line=12 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/cuda/tests/walltime.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py: skipping pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py: line=81 IGNORE (for REQ=slight and deep=8) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests/test_basic_ops.py: line=242 IGNORE (for REQ=slight and deep=9) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/gpuarray/tests/test_elemwise.py: skipping pygpu /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/linalg/tests/test_kron.py: line=12 IGNORE (for REQ=slight and deep=8) module=scipy python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/tests/test_scan.py: skipping sys python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/scan_module/tests/test_scan.py: hiding test_utils, which SEEMS TO BE SELF-SATISFIED python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_multinomial.py: skipping multinomial /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_multinomial.py: line=123 IGNORE (for REQ=slight and deep=12) module=nose python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_neighbours.py: skipping neighbours python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_rng_mrg.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_rng_mrg.py: line=14 IGNORE (for REQ=slight and deep=8) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_theano_object.py: skipping theano_object /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/tests/test_basic_sympy.py: line=6 IGNORE (for REQ=slight and deep=8) module=sympy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/scalar/tests/test_basic_sympy.py: line=10 IGNORE 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/usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=664 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=680 IGNORE (for REQ=slight and deep=11) module=numpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=680 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=700 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=700 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=716 IGNORE (for REQ=slight and deep=11) module=cPickle /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=717 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=717 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=729 IGNORE (for REQ=slight and deep=15) module=tempfile /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=790 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=791 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=792 IGNORE (for REQ=slight and deep=11) module=numpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=793 IGNORE (for REQ=slight and deep=11) module=time /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=822 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=823 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=824 IGNORE (for REQ=slight and deep=15) module=numpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=825 IGNORE (for REQ=slight and deep=15) module=time /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=852 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=853 IGNORE (for REQ=slight and deep=15) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=854 IGNORE (for REQ=slight and deep=15) module=numpy /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=855 IGNORE (for REQ=slight and deep=15) module=time /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=945 IGNORE (for REQ=slight and deep=11) module=theano /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/test_tutorial.py: line=1009 IGNORE (for REQ=slight and deep=11) module=theano python.req: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/unittest_tools.py: skipping sys /usr/lib/rpm/python.req.py: /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/unittest_tools.py: line=14 IGNORE (for REQ=slight and deep=8) module=nose shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_inplace_opt_for_value.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/compile/tests/test_module.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/sandbox/test_neighbourhoods.py is not executable shebang.req.files: executable script /usr/src/tmp/python-module-theano-buildroot/usr/lib/python2.7/site-packages/theano/tests/run_tests_in_batch.py is not executable ++ /bin/sed -e '/python\-base/d' Provides: python2.7(theano.compile.tests), python2.7(theano.compile.tests.test_builders), python2.7(theano.compile.tests.test_debugmode), python2.7(theano.compile.tests.test_function_module), python2.7(theano.compile.tests.test_inplace_opt_for_value), python2.7(theano.compile.tests.test_misc), python2.7(theano.compile.tests.test_modes), python2.7(theano.compile.tests.test_module), python2.7(theano.compile.tests.test_monitormode), python2.7(theano.compile.tests.test_pfunc), python2.7(theano.compile.tests.test_shared), python2.7(theano.gof.tests), python2.7(theano.gof.tests.test_cc), python2.7(theano.gof.tests.test_cmodule), python2.7(theano.gof.tests.test_compute_test_value), python2.7(theano.gof.tests.test_destroyhandler), python2.7(theano.gof.tests.test_fg), python2.7(theano.gof.tests.test_graph), python2.7(theano.gof.tests.test_lazy), python2.7(theano.gof.tests.test_link), python2.7(theano.gof.tests.test_op), python2.7(theano.gof.tests.test_opt), python2.7(theano.gof.tests.test_optdb), python2.7(theano.gof.tests.test_sched), python2.7(theano.gof.tests.test_toolbox), python2.7(theano.gof.tests.test_types), python2.7(theano.gof.tests.test_utils), python2.7(theano.gof.tests.test_vm), python2.7(theano.misc.tests), python2.7(theano.misc.tests.test_cudamat_utils), python2.7(theano.misc.tests.test_gnumpy_utils), python2.7(theano.misc.tests.test_may_share_memory), python2.7(theano.misc.tests.test_pycuda_example), python2.7(theano.misc.tests.test_pycuda_theano_simple), python2.7(theano.misc.tests.test_pycuda_utils), python2.7(theano.sandbox.cuda.tests), python2.7(theano.sandbox.cuda.tests.test_basic_ops), python2.7(theano.sandbox.cuda.tests.test_bench_loopfusion), python2.7(theano.sandbox.cuda.tests.test_blas), python2.7(theano.sandbox.cuda.tests.test_conv_cuda_ndarray), python2.7(theano.sandbox.cuda.tests.test_cuda_ndarray), python2.7(theano.sandbox.cuda.tests.test_driver), python2.7(theano.sandbox.cuda.tests.test_gradient), python2.7(theano.sandbox.cuda.tests.test_memory), python2.7(theano.sandbox.cuda.tests.test_mlp), python2.7(theano.sandbox.cuda.tests.test_neighbours), python2.7(theano.sandbox.cuda.tests.test_nnet), python2.7(theano.sandbox.cuda.tests.test_nvcc_compiler), python2.7(theano.sandbox.cuda.tests.test_opt), python2.7(theano.sandbox.cuda.tests.test_rng_curand), python2.7(theano.sandbox.cuda.tests.test_tensor_op), python2.7(theano.sandbox.cuda.tests.test_var), python2.7(theano.sandbox.cuda.tests.test_viewop), python2.7(theano.sandbox.cuda.tests.walltime), python2.7(theano.sandbox.gpuarray.tests), python2.7(theano.sandbox.gpuarray.tests.test_basic_ops), python2.7(theano.sandbox.gpuarray.tests.test_blas), python2.7(theano.sandbox.gpuarray.tests.test_elemwise), python2.7(theano.sandbox.gpuarray.tests.test_opt), python2.7(theano.sandbox.gpuarray.tests.test_subtensor), python2.7(theano.sandbox.gpuarray.tests.test_type), python2.7(theano.sandbox.linalg.tests), python2.7(theano.sandbox.linalg.tests.test_kron), python2.7(theano.sandbox.linalg.tests.test_linalg), python2.7(theano.sandbox.scan_module.tests), python2.7(theano.sandbox.scan_module.tests.test_scan), python2.7(theano.sandbox.scan_module.tests.test_utils), python2.7(theano.sandbox.test_multinomial), python2.7(theano.sandbox.test_neighbourhoods), python2.7(theano.sandbox.test_neighbours), python2.7(theano.sandbox.test_rng_mrg), python2.7(theano.sandbox.test_scan), python2.7(theano.sandbox.test_theano_object), python2.7(theano.scalar.tests), python2.7(theano.scalar.tests.test_basic), python2.7(theano.scalar.tests.test_basic_sympy), python2.7(theano.scan_module.tests), python2.7(theano.scan_module.tests.test_scan), python2.7(theano.scan_module.tests.test_scan_opt), python2.7(theano.sparse.sandbox.test_sp), python2.7(theano.sparse.tests), python2.7(theano.sparse.tests.test_basic), python2.7(theano.sparse.tests.test_opt), python2.7(theano.sparse.tests.test_sp2), python2.7(theano.sparse.tests.test_utils), python2.7(theano.tensor.deprecated.test_rmodule), python2.7(theano.tensor.nnet.tests), python2.7(theano.tensor.nnet.tests.speed_test_conv), python2.7(theano.tensor.nnet.tests.test_conv), python2.7(theano.tensor.nnet.tests.test_conv3d), python2.7(theano.tensor.nnet.tests.test_conv3d2d), python2.7(theano.tensor.nnet.tests.test_nnet), python2.7(theano.tensor.nnet.tests.test_sigm), python2.7(theano.tensor.signal.tests), python2.7(theano.tensor.signal.tests.test_conv), python2.7(theano.tensor.signal.tests.test_downsample), python2.7(theano.tensor.tests), python2.7(theano.tensor.tests._test_mpi_roundtrip), python2.7(theano.tensor.tests.mlp_test), python2.7(theano.tensor.tests.test_basic), python2.7(theano.tensor.tests.test_blas), python2.7(theano.tensor.tests.test_blas_c), python2.7(theano.tensor.tests.test_blas_scipy), python2.7(theano.tensor.tests.test_casting), python2.7(theano.tensor.tests.test_complex), python2.7(theano.tensor.tests.test_elemwise), python2.7(theano.tensor.tests.test_extra_ops), python2.7(theano.tensor.tests.test_fourier), python2.7(theano.tensor.tests.test_gc), python2.7(theano.tensor.tests.test_inc_subtensor), python2.7(theano.tensor.tests.test_io), python2.7(theano.tensor.tests.test_keepdims), python2.7(theano.tensor.tests.test_merge), python2.7(theano.tensor.tests.test_misc), python2.7(theano.tensor.tests.test_mpi), python2.7(theano.tensor.tests.test_naacl09), python2.7(theano.tensor.tests.test_opt), python2.7(theano.tensor.tests.test_opt_uncanonicalize), python2.7(theano.tensor.tests.test_randomstreams), python2.7(theano.tensor.tests.test_raw_random), python2.7(theano.tensor.tests.test_shared_randomstreams), python2.7(theano.tensor.tests.test_sharedvar), python2.7(theano.tensor.tests.test_sort), python2.7(theano.tensor.tests.test_subtensor), python2.7(theano.tensor.tests.test_utils), python2.7(theano.tensor.tests.test_xlogx), python2.7(theano.tests), python2.7(theano.tests.disturb_mem), python2.7(theano.tests.diverse_tests), python2.7(theano.tests.main), python2.7(theano.tests.record), python2.7(theano.tests.run_tests_in_batch), python2.7(theano.tests.test_2nd_order_grads), python2.7(theano.tests.test_config), python2.7(theano.tests.test_determinism), python2.7(theano.tests.test_gradient), python2.7(theano.tests.test_ifelse), python2.7(theano.tests.test_printing), python2.7(theano.tests.test_rop), python2.7(theano.tests.test_tutorial), python2.7(theano.tests.test_updates), python2.7(theano.tests.unittest_tools) Requires: python-module-theano = 0.6.0-alt4.qa1, /usr/bin/python, /usr/lib/python2.7/site-packages, python-modules, python2.7(logging), python2.7(mpi4py), python2.7(nose), python2.7(numpy), python2.7(scan), python2.7(scipy), python2.7(theano), python2.7(unittest) Processing files: python-module-theano-docs-0.6.0-alt4.qa1 Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.66889 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd python-module-theano-0.6.0 + DOCDIR=/usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-docs-0.6.0 + export DOCDIR + rm -rf /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-docs-0.6.0 + /bin/mkdir -p /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-docs-0.6.0 + cp -prL doc/LICENSE.txt doc/NEWS.txt doc/acknowledgement.txt doc/cifarSC2011 doc/core_development_guide.txt doc/crei2013 doc/dev_start_guide.txt doc/developer doc/examples doc/extending doc/glossary.txt doc/index.txt doc/install.txt doc/install_centos6.txt doc/install_ubuntu.txt doc/internal doc/introduction.txt doc/library doc/links.txt doc/nice_quotes.txt doc/optimizations.txt doc/proposals doc/sandbox doc/tutorial /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-docs-0.6.0 + chmod -R go-w /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-docs-0.6.0 + chmod -R a+rX /usr/src/tmp/python-module-theano-buildroot/usr/share/doc/python-module-theano-docs-0.6.0 + exit 0 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.WQbS9I find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,python3,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.2QyWW7 find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks) Adding to python-module-theano-tests a strict dependency on python-module-theano Adding to python3-module-theano-tests a strict dependency on python3-module-theano Adding to python3-module-theano a strict dependency on python3-module-theano-tests Removing 1 extra deps from python-module-theano-tests due to dependency on python-module-theano Removing 3 extra deps from python3-module-theano due to dependency on python3-module-theano-tests Removing 101 extra deps from python3-module-theano-tests due to dependency on python3-module-theano Removing 7 extra deps from python-module-theano-tests due to repentancy on python-module-theano Removing 18 extra deps from python3-module-theano due to repentancy on python3-module-theano-tests Wrote: /usr/src/RPM/RPMS/noarch/python-module-theano-0.6.0-alt4.qa1.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/python3-module-theano-0.6.0-alt4.qa1.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/python3-module-theano-tests-0.6.0-alt4.qa1.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/python-module-theano-tests-0.6.0-alt4.qa1.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/python-module-theano-docs-0.6.0-alt4.qa1.noarch.rpm 348.55user 4.00system 12:18.62elapsed 47%CPU (0avgtext+0avgdata 63588maxresident)k 0inputs+0outputs (0major+1471161minor)pagefaults 0swaps 368.91user 9.37system 15:36.11elapsed 40%CPU (0avgtext+0avgdata 119644maxresident)k 0inputs+0outputs (0major+2315844minor)pagefaults 0swaps}